Seminar Slides and Recordings
Slides and recordings from CSM events going back several years are available below. If you experience any issues with the downloads/links on this page please e-mail: csm@lshtm.ac.uk.
Centre for Statistical Methodology Seminar
Title: Selecting causal risk factors from high-throughput experiments using multivariable Mendelian randomization.
Verena Zuber (Imperial College London)
Bayesian Theme Seminar
Slides and audio available soon
Abstract: Modern high-throughput experiments provide a rich resource to investigate causal determinants of disease risk. Mendelian randomization (MR) is the use of genetic variants as instrumental variables to infer the causal effect of a specific risk factor on an outcome. Multivariable MR is an extension of the standard MR framework to consider multiple potential risk factors in a single model. However, current implementations of multivariable MR use standard linear regression and hence perform poorly with many risk factors.
Here, we propose a novel approach to multivariable MR based on Bayesian model averaging (MR-BMA) that scales to high-throughput experiments and can select biomarker as causal risk factors for disease. In a realistic simulation study we show that MR-BMA can detect true causal risk factors even when the candidate risk factors are highly correlated. We illustrate MR-BMA by analysing publicly-available summarized data on metabolites to prioritise likely causal biomarkers for cardiovascular disease.
Centre for Statistical Methodology Symposium: “Quantitative approaches to personalised medicine”
12 November 2019
Speakers:
Dr John Whittaker (Glaxo Smith Klein Pharmaceuticals): The pharmaceutical industry and personalisation: what have we learnt, and what’s required in future? Slides (.pdf, 0.1MB)
Professor Mihaela van der Schaar (University of Cambridge): Transforming medicine through Artificial Intelligence-enabled healthcare pathways Slides (.pdf, 1.5MB)
Dr Brian Tom (MRC Biostatistics Unit, Cambridge): Personalising inter-donation intervals amongst blood donors Slides (.pdf, 0.4MB)
Dr Karla Diaz-Ordaz (LSHTM): Using data-adaptive methods to investigate conditional treatment effects: towards personalised treatment regimes Slides (.pdf, 0.9MB)
Professor Andrew Briggs (LSHTM): The economics of personalised medicine: threat or opportunity? Slides (.pdf, 0.4MB)
Dr Stephen Senn (Independent Statistical Consultant, Edinburgh): A statistical sceptic’s view of personalised medicine Slides (.pdf, 0.9MB)
Centre for Statistical Methodology Seminar
Title: Dealing with missing binary outcomes in cluster randomized trials: weighting vs. imputation methods
Elizabeth L. Turner (Duke University)
Analysis of Clinical Trials Theme
Slides and audio available soon
Abstract: Cluster randomized trials are commonly used to evaluate the impact of public health interventions on a range of outcomes and in a range of global health settings. Yet, most CRTs have some missing outcome data and analysis of available data may be biased when outcome data are not missing completely at random. In this talk, we will focus on analysis of CRTs with binary outcomes using the generalized estimating equations (GEE) approach.
In this context, multilevel multiple imputation for GEE (MMI-GEE) has been widely used and methodological work has been undertaken to evaluate its properties (e.g. see work by LSHTM researchers including Hossain, Diaz-Ordaz and Bartlett). Performance of this method has been shown to be very good but there are some challenges to implementing this procedure in standard software. Alternative approaches such as inverse probability weighted GEE (W-GEE) are less common but may be easier to implement in practice. Therefore, we have evaluated properties of W-GEE methods and compared the results with MMI-GEE for binary outcomes using both simulations and using a real data example from a CRT to evaluate the effect of a teacher-training intervention on child literacy outcomes in Kenya. This is joint work with Lanqiu Yao, Fan Li and Melanie Prague.
Centre for Statistical Methodology Seminar
Title: Causal inference and competing events
Jessica Young (Havard Medical School)
Causal Inference Theme
Slides and audio available soon
Abstract: In failure-time settings, a competing risk event is any event that makes it impossible for the event of interest to occur. For example, cardiovascular disease death is a competing event for prostate cancer death because an individual cannot die of prostate cancer once he has died of cardiovascular disease. Various statistical estimands have been defined as possible targets of inference in the classical competing risks literature. These include the so-called cause-specific hazard, subdistribution hazard, marginal hazard, cause-specific cumulative incidence and marginal cumulative incidence. Many reviews have described these statistical estimands and their estimating procedures with recommendations about their reporting when the goal is causal effect estimation. However, this previous work has not used a formal framework for characterizing causal effects and their identifying conditions which makes it difficult to evaluate these recommendations, even in a randomized trial with no loss to follow-up. Here we will place these estimands within a counterfactual framework for causal inference in order to 1) define counterfactual contrasts in each of these estimands under different treatment interventions, 2) interpret each contrast under data generating assumptions represented by a causal DAG, 3) understand identification of each of these contrasts in data with censoring events, including how identification can be evaluated with causal DAGs and 4) how the combined choice of estimand and identifying assumptions leads to a choice of estimating procedure.
Centre for Statistical Methodology Seminar
Title: Beyond the average: Contrasting targeted learning and causal forests for inference about conditional average treatment effects of social health insurance programmes
Noemi Kreif (University of York)
Big Data and Machine Learning Theme
Slides and audio available soon
Abstract: Researchers evaluating social policies are often interested in identifying individuals who would benefit most from a particular policy. Recently proposed causal inference approaches that incorporate machine learning (ML) have the potential to help explore treatment effect heterogeneity in a flexible yet principled way. We contrast two such approaches in a study evaluating the effects of enrollment in social health insurance schemes on health care utilisation of Indonesian mothers. First, we apply a double-machine learning approach, targeted minimum loss-based estimation (TMLE) where we estimate both the outcome regression and the propensity score flexibly using an ensemble ML approach. From the individual-level predictions of potential outcomes we calculate individual-level treatment effects and use a Random Forest (RF) procedure to identify the variables that predict these effects. We contrast this exploratory approach to an application of the Causal Forests method (Wager and Athey, 2018 JASA), which has been designed to directly estimate heterogeneous treatment effects, by modifying the standard RF algorithm to maximise the variance of the predicted treatment effects. In both analyses we find that the most important effect modifiers include educational status, age and household wealth. When reporting conditional average treatment effects (CATEs) for these subgroups, the methods agree that less well-educated and younger mothers would benefit more from health insurance than well-educated and older ones. The CATEs reported by the Causal Forests have larger confidence intervals than those reported by the TMLE approach, potentially due to the extra sample splitting step employed.
Centre for Statistical Methodology Seminar
Title: Post-“Modern Epidemiology”: when methods meet matter
George Davey Smith (University of Bristol)
Causal Inference Theme
Abstract: In the last third of the 20th century, etiological epidemiology within academia in high-income countries shifted its primary concern from attempting to tackle the apparent epidemic of non-communicable diseases to an increasing focus on developing statistical and causal inference methodologies. This move was mutually constitutive with the failure of applied epidemiology to make major progress, with many of the advances in understanding the causes of non-communicable diseases coming from outside the discipline, while ironically revealing the infectious origins of several major conditions. Conversely, there were many examples of epidemiologic studies promoting ineffective interventions and little evident attempt to account for such failure. Major advances in concrete understanding of disease etiology have been driven by a willingness to learn about and incorporate into epidemiology developments in biology and cognate data science disciplines. If fundamental epidemiologic principles regarding the rooting of disease risk within populations are retained, recent methodological developments combined with increased biological understanding and data sciences capability should herald a fruitful post–modern.
Centre for Statistical Methodology Seminar
Causal Inference Theme
A new approach to generalizability of clinical trials
Anders Huitfeldt (LSE)
Centre for Statistical Methodology Seminar
Causal Inference Theme
Using Quantitative Bias Analysis to Deal with Misclassification in the Results Section, not the Discussion Section.
Matt Fox (Boston University)
Centre for Statistical Methodology Seminar
Statistical Computing Theme
An extended mixed-effects model for meta-analysis: statistical framework and the R package mixmeta.
Antonio Gasparrini and Francesco Sera (LSHTM)
Centre for Statistical Methodology Seminar
Big Data Theme
Large numbers of explanatory variables.
Heather Battey (Imperial College London)
Slides available soon
Centre for Statistical Methodology Seminar
Friday 14 December 2018,
Design and analysis of trials where the outcome is a rate of change, with an introduction to a new Stata package for sample size calculation
Chris Frost and Amy Mullick (LSHTM)
Slides and audio
Centre for Statistical Methodology Seminar
Friday 30 November 2018,
Uncertainty and missing data in dietary intake and activity data.
Graham Horgan (Rowett Institute, University of Aberdeen)
Slides and audio. (external website)
Centre for Statistical Methodology Seminar
Clinical Trials Theme
Friday 23 November 2018,
Lessons learned from implementing a stratified medicine master protocol: The National Lung Matrix Trial
Prof Lucinda Billingham (University of Birmingham)
Slides available soon
Centre for Statistical Methodology Seminar
Clinical Trials Theme
Friday 2 November 2018,
Response-Adaptive Randomisation: Implementing Optimality Criteria in Clinical Trials
Sofia Villar (MRC Biostatistics Unit, Cambridge)
Slides (pdf)
Centre for Statistical Methodology Seminar
Friday 26 October 2018,
Framework and practical tool for eliciting expert priors in clinical trials
with MNAR outcomes
Alexina Mason (LSHTM)
Slides (pdf)
Centre for Statistical Methodology Seminar
Friday 28 September 2018,
Assessing comparative effectiveness of cancer treatments in the SEER-Medicare linked database: a causal approach
Lucia Petito (Harvard School of Public Health)
Slides and audio. (external website)
Centre for Statistical Methodology Seminar
Missing Data & Measurement Error Theme
6 July 2018
Generating multiple imputation from multiple models to reflect missing data mechanism uncertainty: Application to a longitudinal clinical trial
Prof Ofer Harel (University of Connecticut)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
2 July 2018
Bayesian treatment comparison using parametric mixture priors computed from elicited histograms
Moreno Ursino (Cordeliers Research Centre, Paris)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Health Economics Theme
29 June 2018
Experiences of structured elicitation cost-effectiveness analyses
Marta Soares (University of York)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Time Series Regression Analysis Theme
18 May 2018
Case time series: a flexible design for big data epidemiological analyses
Antonio Gasparrini (LSHTM)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Causal Inference Theme
4 May 2018
How to obtain valid tests and confidence intervals for treatment effects after confounder selection?
Prof Stijn Vansteelandt (University of Ghent & LSHTM)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Survival Analysis Theme
27 April 2018
Dynamic prediction in fertility
Nan van Geloven (University of Leiden)
Slides & audio (external website)
Early Career Researcher Showcase
26 March 2018
Ruth Farmer (LSHTM): Dealing with time dependent confounding in diabetes pharmacoepidemiology: an application of marginal structural models to electronic health care records
Baptiste Leurent (LSHTM): Sensitivity analysis for informative missing data in cost-effectiveness analysis
Christen Gray (LSHTM): Use of the Bayesian family of methods for correcting exposure measurement error in polynomial regression models
Jennifer Thompson (LSHTM): Advice for using generalised estimating equations in a stepped-wedge trial
Benedetta Pongiglione (UCL): Disability and all-cause mortality in the older population: evidence from the English Longitudinal Study of Ageing
Andrea Gabrio (UCL): Statistical issues in small/pilot cost-effectiveness analyses from individual level data
Gillian Stresman (LSHTM): Spatial analysis to understand malaria transmission and the potential for spatially targeted interventions
Prof Vern Farewell (MRC Biostatistics Unit): Use of a multi-state model with a composite arthritis outcome
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Big Data Theme
26 January 2018
Statistical methods for real-time monitoring of health outcomes
Prof Peter Diggle (University of Lancaster)
Slides (.pdf, 8.2MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Design and Analysis for Dependent Data Theme
1 December 2017
How to fit generalised linear mixed models and keep smiling!
Prof Patricia Solomon (University of Adelaide)
Slides (.pdf, 2.2MB)
Centre for Statistical Methodology Seminar
Meta-analysis and Systematic Reviews Theme
24 November 2017
Combining diverse information sources with the II-CC-FF paradigm, with applications in meta-analysis and beyond
Celine Cunen (University of Oslo)
Slides (.pdf, 1.3MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Health Economics & Causal Inference Themes
10 November 2017
Does transfer to intensive care units reduce mortality for deteriorating ward patients? Estimating Person-centered Treatment (PeT) Effects Using Instrumental Variables
Prof Anirban Basu (University of Washington)
Slides (.pdf, 1.6MB)
Centre for Statistical Methodology Seminar
Analysis of Clinical Trials Theme
29 September 2017
What came first – the analysis or the estimand?
Prof Ian White (MRC Clinical Trials Unit)
Slides & audio (external website)
Centre for Statistical Methodology Symposium: “Statistical Methods for Big Data”
7 July 2017
Elizabeth Williamson (LSHTM): Big data in health research: opportunities and challenges Slides (.pdf, 0.9MB) Slides & audio (external website)
Stephen Evans (LSHTM): A perspective from and for pharmacoepidemiology
Pietro Ferrari (IARC, Lyon): Understanding complex data Slides (.pdf, 1.4MB) Slides & audio (external website)
Joel Schwartz (Harvard T.H. Chan School of Public Health): Big data in environmental epidemiology: p > n, large n, and machine learning Slides (.pdf, 1.3MB) Slides & audio (external website)
Jas Sekhon (University of California, Berkeley): Policy and evaluation in the age of big data Slides (.pdf, 1.6MB) Slides & audio (external website)
Panel discussion Slides & audio (external website)
Centre for Statistical Methodology Seminar
Analysis of Clinical Trials Theme
30 June 2017
Design and analysis of randomised trials with treatment-related clustering
Rebecca Walwyn (University of Leeds)
Slides (.pdf, 0.4MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Multivariate Methods Theme
20 June 2017
Correspondence analysis for studying food perception in Europe
Prof Eric Beh (University of Newcastle, Australia)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
26 May 2017
Information anchored sensitivity analysis for randomised controlled trials via Multiple Imputation
Suzie Cro (Imperial College London)
Slides (.pdf, 1.0MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
28 April 2017
Statistical approaches to antibody data analysis for populations on the path of malaria elimination
Nuno Sepulveda (LSHTM)
Slides (.pdf, 6.3MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Survival Analysis and Statistical Computing Themes
31 March 2017
Multistate survival analysis in Stata
Michael Crowther (University of Leicester)
Slides (.pdf, 1.7MB)
Slides & audio (external website)
Centre for Statistical Methodology Event
28 March 2017
A showcase of young methodologists: Celebrating the first International Statistics Prize Winner, Prof Sir David Cox
Amy Mulick (LSHTM): Reduce, score, regress, repeat: using factor analysis to tackle multicollinear HDL metabolomics data in seven CHD studies Slides (.pdf, 1.1MB)
Matteo Quartagno (LSHTM): Multiple imputation for multilevel data Slides (.pdf, 0.3MB)
Christiana Kartsonaki (Univserity of Oxford): Sleep Slides (.pdf, 0.4MB)
Olympia Papachristofi (LSHTM): The use of electronic health records in the design of trials of complex surgical interventions: identifying the contribution of multiple providers Slides (.pdf, 0.5MB)
Clemence Layrat (LSHTM): Methodological issues in the design and analysis of cluster randomised trials Slides (.pdf, 0.5MB)
Katy Morgan (LSHTM): Choosing appropriate analysis methods for cluster randomised cross-over trials with a binary outcome Slides (.pdf, 0.3MB)
Prof Sir David Cox (Univserity of Oxford): Statistical concepts: some history and the current position Slides (.pdf, 0.09MB)
All talks together Slides & audio (external website) Unfortunately the recording cuts out before the end of the final talk
Centre for Statistical Methodology Workshop
14 March 2017
Big Data at LSHTM: Who is doing what?
Taane Clark: Analysis of whole genome sequencing data Slides (.pdf, 1.6MB)
Chris Drakeley: Antibodies to action: using multiplex serological data to guide malaria control programmes Slides (.pdf, 0.7MB)
Martin Hibberd: Using human transcriptomics to identify infectious disease agents Slides (.pdf, 1.1MB)
Neil Pearce: Using high dimensional data for understanding disease phenotypes Slides (.pdf, 0.2MB)
Elizabeth Williamson & Ian Douglas: Methodological challenges in using EHR data Slides (.pdf, 1.8MB)
Luigi Palla: Mining the data by multivariate methods Slides (.pdf, 0.3MB)
Antonio Gasparrini: Developing big data methods in environmental epidemiology Slides (.pdf, 1.0MB)
Laura Rodrigues: Assessment of health care and of impact of social policies Slides (.pdf, 1.1MB)
Jan van der Meulen: Using linked national datasets for health service evaluation Slides (.pdf, 0.2MB)
Richard Grieve: Big data and health economics, what’s the added value? Slides (.pdf, 0.7MB)
All talks together Slides & audio (external website)
Centre for Statistical Methodology Seminar
24 February 2017
Linking administrative data for epidemiological research
Katie Harron (LSHTM)
Slides (.pdf, 2.1MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Survival Analysis Theme
9 February 2017
Analysis of excess mortality in the absence of additional life table variables by sub-groups
Prof Roch Giorgi (Aix-Marseille Université)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Analysis of Clinical Trials Theme
27 January 2017
Central statistical monitoring in an academic clinical trials unit
Amy Kirkwood (UCL Cancer Trials Centre)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Multivariate Methods & Survival Analysis Themes
4 November 2016
Sparse survival models in high-throughput cancer studies
Prof Ernst Wit (University of Groningen)
Slides (.pdf, 3.1MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Causal Inference & Missing Data and Measurement Error Themes
30 September 2016
How should the propensity score be estimated when some confounders are partially observed?
Clemence Leyrat (LSHTM)
Slides (.pdf, 0.9MB)
Centre for Statistical Methodology Seminar
Survival Analysis Theme
18 July 2016
A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non-linear and non-proportional effects of covariates
Aurelien Belot (LSHTM)
Slides (.pdf, 1.5MB)
Centre for Statistical Methodology Seminar
Causal Inference Theme
1 July 2016
Causal mediation analysis: a whistle-stop tour and some recent advances
Rhian Daniel (LSHTM)
Slides (.pdf, 0.9MB)
Centre for Statistical Methodology Seminar
Missing Data and Measurement Error Theme
24 June 2016
Handling missing data in matched case-control studies using multiple imputation
Ruth Keogh (LSHTM)
Slides (.pdf, 0.2MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
16 May 2016
What do the experts believe? Using prior elicitation and Bayesian reasoning to support decision making in drug development
Prof Nicky Best (GSK)
Slides & audio (external website)
Centre for Statistical Methodology and Department of Medical Statistics Joint Seminar
20 April 2016
Some counterclaims undermine themselves in observational studies
Prof Paul Rosenbaum (University of Pennsylvania)
Slides (.pdf, 0.7MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Design and Analysis for Dependent Data Theme
18 March 2016
Adjusting for covariates in the analysis of cluster randomised trials
Neil Wright (Queen Mary University of London)
Slides & audio (external website)
Centre for Statistical Methodology & Imperial College London Symposium
17 March 2016
Poverty can make you sick: from social determinants to biological markers
Marc Chadeau-Hyam. ‘Social determinants and healthy aging: a H2020 project’. Slides (.pdf, 0.7MB)
Prof Bianca De Stavola. ‘From social determinants to biomarkers: understanding the causal pathway’. Slides (.pdf, 1.7MB)
Prof David Blane. ‘Social class, health and life course: ideas from the Boyd Orr Cohort Study’. Slides (.pdf, 0.2MB)
Mauricio Avendano. ‘The effect of social policies on health and biology’. Slides (.pdf, 1.9MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Survival Analysis Theme
11 March 2016
Alternatives to net and relative survival for comparison of survival between populations
Prof Peter Sasieni (Queen Mary University of London)
Slides (.pdf, 0.9MB)
Centre for Statistical Methodology Seminar
Multivariate Methods Theme
29 January 2016
Correspondence analysis for studying global malaria mortality
Prof Eric Beh (University of Newcastle, Australia)
Slides (Part 1) (.pdf, 1.9MB)
Slides (Part 2) (.pdf, 1.1MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Design and Analysis for Dependent Data Theme
13 January 2016
Pseudo-likelihood and split-sample methods in small and very large trials
Prof Geert Molenberghs (Hasselt University and KU Leuven, Belgium)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Missing Data and Measurement Error Theme
15 December 2015
Graphical models for missing data: Recoverability, testability and recent surprises!
Karthika Mohan (UCLA)
Slides & audio (external website)
Centre for Statistical Methodology Discussion Series
2 December 2015
How much of our research is true and can we do things better? Reproducibility
David Leon, Isabel dos Santos Silva, Neil Pearce & Bianca De Stavola (LSHTM)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Survival Analysis & Analysis of Clinical Trials Themes
27 November 2015
Credibility of risk predictions in medical research: concepts, tools, and applications
Babak Choodari-Oskooei (MRC Clinical Trials Unit)
Slides (.pdf, 0.8MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Statistical Computing Theme
30 October 2015
Shape-constrained splines: applications and examples in R
Antonio Gasparrini & Zaid Chalabi (LSHTM)
Slides (.pdf, 0.9MB)
Slides & audio (external website)
R code: Rcode & ps (save as .r files)
Centre for Statistical Methodology Seminar
Causal Inference Theme
15 October 2015
Multistage models of cancer and motor neurone disease
Neil Pearce (LSHTM)
Slides (.pdf, 1.2MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Statistical Computing Theme
29 May 2015
Smoothing with penalized splines: a brief introduction and a special application
Antonio Gasparrini (LSHTM)
Slides (.pdf, 1.4MB)
Slides & audio (external website)
Centre for Statistical Methodology Educational Lecture Series
6 May 2015
Planning of investigations III
Prof Sir David Cox (Nuffield College, Oxford)
Slides (.pdf, 0.2MB)
Slides & audio (external website)
Centre for Statistical Methodology Educational Lecture Series
29 April 2015
Planning of investigations II
Prof Sir David Cox (Nuffield College, Oxford)
Slides (.pdf, 0.2MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Analysis of Count Data Theme
24 April 2015
Malaria, river-blindness and plague: three case studies in spatial modelling of tropical diseases
Emanuele Giorgi (Lancaster University)
Slides (.pdf, 13.4MB)
Slides & audio (external website)
Centre for Statistical Methodology Educational Lecture Series
22 April 2015
Planning of investigations I
Prof Sir David Cox (Nuffield College, Oxford)
Slides (.pdf, 0.3MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Meta-analysis and Systematic Reviews Theme
27 March 2015
Judging the usefulness of a network meta-analysis: assessment of the extent and impact of heterogeneity between trials
Neil Hawkins (LSHTM)
Slides (.pdf, 2.8MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Health Economic Evaluation Theme
27 February 2015
Healthcare cost regressions: going beyond the mean to estimate the full distribution
James Lomas (University of York)
Slides (.pdf, 1.1MB)
Joint Centre for Evaluation and Centre for Statistical Methodology Seminar
13 February 2015
R&D incentives for neglected diseases
Nicola Dimitri (University of Siena, Italy)
Slides (.pdf, 0.7MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
Missing Data Theme
30 January 2015
Unbiased estimation of exposure odds ratios in complete records logistic regression
Jonathan Bartlett (LSHTM)
Slides (.pdf, 0.2MB)
Slides & audio (external website)
Centre for Statistical Methodology Seminar
29 January 2015
The seven pillars of statistical wisdom
Prof Stephen Stigler (University of Chicago)
Slides (.pdf, 3.7MB)
Slides & audio (external website)
Joint Centre for Global NCDs and Centre for Statistical Methodology Seminar
9 December 2014
The exposome in molecular epidemiology – Towards a more global approach to evaluate exposures to disease risk factors
Augustin Scalbert (International Agency for Research on Cancer, Lyon)
Slides (.pdf, 5.0MB)
Centre for Statistical Methodology Seminar
Time Series Regression Analysis Theme
28 November 2014
Flexible modelling of the cumulative effects of time-varying exposures: applications in environmental, cancer and pharmaco-epidemiology
Antonio Gasparrini (LSHTM)
Slides (.pdf, 1.3MB)
Centre for Statistical Methodology Seminar
Missing Data & Meta-analysis and Systematic Reviews Themes
7 November 2014
Handling missing data in meta-analysis of individual participant data with correlated mixed outcomes
Manuel Gomes (LSHTM)
Slides (.pdf, 0.8MB)
Centre for Statistical Methodology Seminar
Survival Analysis & Causal Inference Themes
31 October 2014
Causal mediation analysis of observational, population-based cancer survival data
Bernard Rachet & Ruoran Li (LSHTM)
Slides (.pdf, 1.9MB)
Centre for Statistical Methodology Seminar
Design and Analysis for Dependent Data Theme
26 September 2014
Modelling repeated measures growth data by aligning significant growth events and modelling changes in within-individual variability over time
Prof Harvey Goldstein (University of Bristol)
Slides (.pdf, 0.8MB)
Centre for Statistical Methodology Seminar
Analysis of Clinical Trials Theme
25 July 2014
Identifying relevant sensitivity analyses for clinical trials
Tim Morris (MRC Clinical Trials Unit)
Slides (.pdf, 0.2MB)
PATHWAYS Event
Causal Mediation Analysis in Social and Medical Research
St. Catherine’s College, Oxford
7 July 2014
Evidence and causality in the social and medical sciences (Federica Russo, Universita’ degli Studi di Ferrara) Slides (2.1MB)
Modern mediation methods in the social sciences (David Mackinnon, Arizona State University) Slides (0.6MB)
Mediational analysis in psychotherapeutic trials: change and error (Andrew Pickles, Institute of Psychiatry)
Mediation analysis in the political and economic sciences (Luke Keele, Penn State University) Slides (0.5MB)
Mediation analysis with multiple mediators (Bianca De Stavola, LSHTM) Slides (2.4MB)
Centre for Statistical Methodology Seminar
Design and Analysis of Observational Studies Theme
27 June 2014
Cross-national differences in older adults physical functioning: results from HRS, ELSA and SHARE studies of ageing
Omar Paccagnella (University of Padova)
Slides (.pdf, 0.7MB)
Centre for Statistical Methodology Seminar
Design and Analysis of Observational Studies Theme
20 June 2014
Nested case-control studies: Should one break the matching?
Ørnulf Borgan (University of Oslo)
Slides (.pdf, 0.3MB)
Centre for Statistical Methodology Seminar
Causal Inference Theme
16 May 2014
SMART studies and the personalization of medical care
Erica Moodie (McGill University)
Slides (.pdf, 0.6MB)
Centre for Statistical Methodology Seminar
Meta-analysis and Systematic Reviews Theme
31 January 2014
Network meta-analysis
Ian White (MRC Biostatistics Unit)
Slides (.pdf, 1.3MB)
Centre for Statistical Methodology Seminar
Causal Inference Theme
17 January 2014
Mechanisms and the evidence hierarchy
Federica Russo (University of Ferrara, Italy)
Slides (.pdf, 1.7MB)
LSHTM Inaugural Lecture
4 December 2013
Hygienic thinking and exotic methods
Bianca De Stavola (LSHTM)
Slides (.pdf, 10.0MB)
Centre for Statistical Methodology Seminar
Survival Analysis Theme
2 December 2013
Using relapses information to predict the risk of death for breast cancer patients: dynamic prediction and validation in UK population
Virginie Rondeau & Audrey Mauguen (INSERM, Bordeaux, France)
Slides (.pdf, 0.5MB)
Centre for Statistical Methodology Seminar
Health Economic Evaluation Theme
29 November 2013
The Regression Discontinuity Design in epidemiology: an application to the prescription of statins
Gianluca Baio (UCL)
Slides (.pdf, 2.3MB)
Centre for Statistical Methodology Seminar
Statistical Computing Theme
25 October 2013
The importance of computing in statistical analysis: examples from two R packages
Antonio Gasparrini (LSHTM)
Slides (.pdf, 0.5MB)
Centre for Statistical Methodology Seminar
Missing Data Theme
28 June 2013
Improving upon complete case analysis when covariates are missing not at random
Jonathan Bartlett (LSHTM)
Slides (.pdf, 0.4MB)
Centre for Statistical Methodology Seminar
Pharmaco-epidemiology Theme
13 May 2013
Hierarchies of Evidence
Sir Michael Rawlins (President of the Royal Society of Medicine)
Slides (.pdf, 2.1MB)
Centre for Statistical Methodology Seminar
Health Economic Evaluation Theme
26 April 2013
A comparison of direct and indirect methods for the estimation of health utilities from clinical outcomes
Monica Hernandez (University of Sheffield)
Slides (.pdf, 0.4MB)
Centre for Statistical Methodology Seminar
Pharmaco-epidemiology Theme
19 March 2013
Fighting a battle up Hill’s: Discovering new roles for observational healthcare data in causality assessment
Jesse Berlin (VP, Epidemiology, Janssen Research & Development)
Slides (.pdf, 1.9MB)
Centre for Statistical Methodology and British and Irish Region of the International Biometric Society Scientific Meeting
40+ Years of the Cox Model
8 March 2013
The Cox model: Introduction and history
Bianca De Stavola (LSHTM)
Slides (.pdf, 1.1MB)
Centre for Statistical Methodology Seminar
Health Economic Evaluation Theme
22 February 2013
Methods for estimating survival benefits in the presence of treatment crossover: a simulation study
Nick Latimer (University of Sheffield)
Slides (.pdf, 1.5MB)
Centre for Statistical Methodology Seminar
Health Economic Evaluation & Causal Inference Themes
31 January 2013
Evaluating treatment effectiveness under model misspecification: a comparison of targeted maximum likelihood estimation with bias-corrected matching
Noemi Kreif (LSHTM)
Slides (.pdf, 0.7MB)
Centre for Statistical Methodology Seminar
Survival Analysis Theme
25 January 2013
Missing data and composite endpoints: efficient estimation of the distribution of time to composite endpoint when one of the endpoints is incompletely observed
Rhian Daniel (LSHTM)
Slides (.pdf, 1.9MB)
Centre for Statistical Methodology Seminar
Design and Analysis of Dependent Data Theme
30 November 2012
Relating changes in two variables using bivariate multilevel spline models
Corrie Macdonald-Wallis (University of Bristol)
Slides (.pdf, 0.5MB)
Centre for Statistical Methodology Autumn Educational Seminar Series
29 November 2012
Systematic reviews and meta-analysis (meta-analysis)
Bianca De Stavola and Tim Collier (LSHTM)
Slides (.pdf, 0.8MB)
Centre for Statistical Methodology Autumn Educational Seminar Series
27 November 2012
Systematic reviews and meta-analysis (systematic reviews)
Alma Adler (LSHTM)
Slides (.pdf, 0.2MB)
Centre for Statistical Methodology Autumn Educational Seminar Series
22 November 2012
Missing data (intermediate)
Mike Kenward (LSHTM)
Slides (.pdf, 0.2MB)
Centre for Statistical Methodology Autumn Educational Seminar Series
20 November 2012
Missing data (basic)
James Carpenter (LSHTM)
Slides (.pdf, 0.4MB)
Centre for Statistical Methodology Seminar
Analysis of Count Data Theme
16 November 2012
What’s an outlier in long-tailed discrete data?
Dr Mario Cortina Borja (UCL Institute of Child Health)
Slides (.pdf, 1.2MB)
Centre for Statistical Methodology Autumn Educational Seminar Series
15 November 2012
Agreement, reliability and repeatability studies (categorical)
Jonathan Bartlett (LSHTM)
Slides (.pdf, 0.1MB)
Centre for Statistical Methodology Autumn Educational Seminar Series
13 November 2012
Agreement, reliability and repeatability studies (continuous)
Jonathan Bartlett (LSHTM)
Slides (.pdf, 0.2MB)
Centre for Statistical Methodology Seminar
Causal Inference Theme
5 October 2012
Trial designs fully integrating biomarker information for the evaluation of treatment-effect mechanisms in personalised (stratified) medicine
Dr Richard Emsley (University of Manchester)
Slides (.pdf, 0.4MB)
Centre for Statistical Methodology Seminar
Meta-analysis and Systematic Reviews Theme
28 September 2012
Empirical evidence on sources of bias in randomised controlled trials: methods of and results from the BRANDO study
Prof Jonathan Sterne (University of Bristol)
Slides (.pdf, 0.8MB)
Centre for Statistical Methodology Seminar
Causal Inference & Health Economic Evaluation Themes
3 July 2012
An application of targeted maximum likelihood estimation to health economic evaluation
Dr Susan Gruber (Harvard School of Public Health)
Slides (.pdf, 0.8MB)
Centre for Statistical Methodology Seminar
25 May 2012
Modelling of time dependencies in associations between health effects and protracted exposures
Dr Antonio Gasparrini (LSHTM)
Slides (.pdf, 0.8MB)
3rd UK Mplus Users Meeting
LSHTM
24 May 2012
Mediation analysis with SEM or causal inference: Where is the difference? (Bianca De Stavola, LSHTM) Slides (.pdf, 0.6MB)
Process evaluation and causal mediation analysis using Mplus (Richard Emsley, University of Manchester) Slides (.pdf, 0.5MB)
Lifelong socioeconomic position and biomarkers of later life health (George Ploubidis, LSHTM)
CACE – Complier-average Causal Effects using Mplus: theoretical and practical issues (Hugo Cogo-Moreira, Federal University of Sao Paulo) Slides (.pdf, 0.1MB)
Alcohol-related dysfunction in working-age men in Izhevsk, Russia: An application of Structural Equation Models to study the association with education (Sarah Cook, LSHTM)
Math anxiety precedes math helplessness: Via logical comprehension and self efficacy to math performance (Jan Zirk-Sadowski, University of Cambridge)
Developmental paths and constrained trajectories (Andrew Pickles, Institute of Psychiatry, King’s College London) Slides (.pdf, 0.7MB)
Physical activity and blood pressure, models and methods to examine their association in mid life (Graciela Muniz, MRC Unit for Lifelong Health and Ageing, University College London)
Lies, damned lies and latent classes: Can factor mixture models allow us to identify the latent structure of common mental disorders? (Rachel McCrea, University College London) Slides (.pdf, 0.1MB)
Disordered eating patterns in adolescence: Using ESEM for validation (Nadia Micali, Institute of Psychiatry, King’s College London)
General random effect latent variable modelling: Subjects, items, contexts and parameters (Tihomir Asparouhov, Mplus) Slides (.pdf, 0.4MB)
Centre for Statistical Methodology Seminar
Design and Analysis of Observational Studies Theme
27 April 2012
Why we should all be Bayesians (and often are without realising it)
Prof Neil Pearce (LSHTM)
Slides (.pdf, 1.5MB)
Audio (.mp3, 29.5MB)
International Biometric Society – British and Irish Region (IBS-BIR) Spring Meeting and LSHTM Centre for Statistical Methodology Meeting
29 March 2012
Model selection for genetic and epidemiological data
Stijn Vansteelandt (Ghent University and LSHTM), Christian Robert (Universite Paris Dauphine), Doug Speed (University College London), David Clayton (University of Cambridge)
Slides and audio (.m4v)
Audio (.mp3)
Centre for Statistical Methodology Seminar
Design and Analysis of Observational Studies Theme
12 April 2012
Causal inference in observational settings in social research
Prof Peter Davis (University of Auckland)
Slides (.pdf, 1.7MB)
Centre for Statistical Methodology Seminar
Time Series Regression Analysis Theme
23 February 2012
Time series regression: advancements in this new tool for epidemiological analyses
Antonio Gasparrini and Ben Armstrong (LSHTM)
Slides – Part I (.pdf, 1.1MB)
Slides – Part II (.pdf, 0.7MB)
Centre for Statistical Methodology Seminar
Causal Inference Theme
23 January 2012
Can counterfactual theory be a complete theory of causality as we practice it in Epidemiology?
Prof Jan VandenBroucke (Leiden University Medical Centre, Netherlands)
Slides (.pdf, 0.2MB)
Slides and audio (apologies for the poor sound quality)
See also D.R. Cox and N. Wermuth. Causality: a Statistical View. International Statistical Review (2004); 72: 285-305.
Department of Medical Statistics Seminar
2 November 2011
Statistical Models for Censored Point Processes with Cure Rates
Dr Jennifer Rogers (LSHTM)
Slides (.pdf, 0.7MB)
Centre for Statistical Methodology Forum
14 October 2011
Correcting for covariate measurement error using regression calibration (Jonathan Bartlett) Slides (.pdf, 0.2MB)
R software: advantages and opportunities (Antonio Gasparrini) Slides (.pdf, 1.9MB)
Statistical methods for causal inference (Rhian Daniel) Slides (.pdf, 0.7MB)
Centre for Statistical Methodology Workshop
Causal Inference Theme
23 September & 6 October 2011
Confounded about confounding? How ‘modern’ causal thinking brings fresh clarity to old concerns
Rhian Daniel & Prof Bianca De Stavola (LSHTM)
Slides (.pdf, 1.1MB)
Centre for Statistical Methodology Seminar
18 August 2011
Evidence Synthesis: Much More than Statistics
Prof Sander Greenland (UCLA)
Audio (.mp3)
Slides and audio (.m4v)
Department of Medical Statistics Seminar
22 July 2011
Good Confidence Intervals for Categorical Data Analyses
Prof Alan Agresti (University of Florida)
Slides (.pdf, 0.3MB)
Centre for Statistical Methodology Seminar & Discussion
Design and Analysis of Observational Studies Theme
27 May 2011
What does the odds ratio estimate in a case-control study?
Prof Neil Pearce (LSHTM)
Slides (.pdf, 0.4MB)
Audio (.mp3, 13.3MB)
For more information see Professor Pearce’s 1993 IJE paper or Professor Laura Rodrigues’s 1990 IJE paper.
Centre for Statistical Methodology Launch
7 April 2011
Some current and potential issues for medical statistics
Prof Sir David Cox (University of Oxford)
Slides and audio (.m4b; 18.8MB)
Audio only (.mp3; 28.1MB)
Department of Medical Statistics Seminar
23 February 2011
Familial and socio-economic influences on foetal growth across three generations: the Uppsala Birth Cohort Multigenerational Study, Sweden, 1915-2002
Dr Bianca De Stavola (LSHTM)
Slides (.pdf, 1.0MB)
Centre for Statistical Methodology Pre-Launch Meeting
29 September 2010
Time series analysis: from econometrics to epidemiology (Antonio Gasparrini) Slides (.pdf, 1.1MB)
When it comes to data reduction, latent variables are better than PCA! (George Ploubidis) Slides (.pdf, 0.2MB)
Why we shouldn’t ignore measurement error and missingness in our data (Jonathan Bartlett) Slides (.pdf, 0.2MB)
Why causality is not such an impossible word (Rhian Daniel) Slides (.pdf, 0.4MB)