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🥳 Registration for abstracts for EuroCIM 2026 (Oxford) is now OPEN and the deadline for submissions is 9 January 2026: eurocim.org/oxford-2026/... 👉 Theme? “Causal inference in health, economic and social science” 👉 When? April 14-17 👉 Where? Oxford 👉 Register? eurocim.org/oxford-2026/...
A few places left on our online 3 day course on multiple imputation for missing data...
Thursday 11th June, join us at LSHTM or online to hear from Rebecca Whittle on 'How large is large enough? Sample size calculations for clinical prediction models'. Further details here: www.lshtm.ac.uk/newsevents/e... @lshtm-dash.bsky.social
Thinking of performing a quantitative bias analysis for measurement error or misclassification? Then our recent software review, by Codie Wood, Kate Tilling, myself and Rachael Hughes, may be of interest: rdcu.be/eDRn2
Come and join us this Tuesday to hear 'The test negative design: What bias is it intended to address?' @lshtm-dash.bsky.social www.lshtm.ac.uk/newsevents/e...
Please join us in person or online @lshtm-dash.bsky.social on 26th February to hear about @georgiatomova.bsky.social's recent work on 'How can different modes of survey data collection introduce bias?' www.lshtm.ac.uk/newsevents/e...
Perspectives on statistics in medicine: Annual joint LSHTM/RSS lecture on 16th June, by Prof. Marion Campbell. Further details here: www.lshtm.ac.uk/newsevents/e...
@lshtm.bsky.social will be running a 3-day online short course on using multiple imputation to handle missing data on 23-25th June 2026. Teaching staff include James Carpenter, Ruth Keogh, Clémence Leyrat, and myself. Further details about the course at www.lshtm.ac.uk/study/course...
'How to interpret hazard ratios', with @dominicmagirr.bsky.social and @timpmorris.bsky.social thestatsgeek.com/2026/01/15/h...
7mo
New PhD position available at @mrcctu.bsky.social to develop guidance on balancing statistical and clinical considerations when choosing an estimand in RCTs. www.findaphd.com/phds/project...
1mo
9mo
18d
1mo
4mo
1mo
5mo
5mo
8mo
rdcu.be
Clinical prediction models are increasingly used to support decision-making, yet guidance on how large a dataset is needed to develop a reliable model remains limited. In practice, sample size is
Quantitative bias analysis for mismeasured variables in health research: a review of software tools | BMC Medical Research Methodology
How large is large enough? Sample size calculations for clinical prediction
www.lshtm.ac.uk
The test-negative design: What bias is it intended to address? | LSHTM
Test-negative studies recruit ‘cases’ who test positive for a particular disease; ‘controls’ are patients undergoing the same tests for the same medical reasons and who test negative. The design is
www.lshtm.ac.uk
Survey data are self-reported data collected directly from respondents by a questionnaire or an interview, and are commonly used in health research. Such data are traditionally collected via a single
www.lshtm.ac.uk
Future directions in the evaluation of innovative technologies in healthcare: Technology in healthcare is rapidly advancing. For example, a recent healthcare report suggests that 9 out of 10
How can different modes of survey data collection introduce bias? | LSHTM
Perspectives on statistics in medicine: Annual joint LSHTM/RSS lecture | LSHTM
www.lshtm.ac.uk
www.lshtm.ac.uk
Statistical Analysis with Missing Data Using Multiple Imputation | LSHTM
Survival analysis of time-to-event outcomes is very commonly performed using Cox’s famous proportional hazards model. The model estimates hazard ratios for the ‘effects’ of covari…
thestatsgeek.com
How to interpret hazard ratios
The EuroCIM
PhD Project - Optimising the choice of estimand in randomised trials: developing guidance on balancing statistical and clinical considerations to ensure results matter to stakeholders at University Co...
www.findaphd.com
Optimising the choice of estimand in randomised trials: developing guidance on balancing statistical and clinical considerations to ensure results matter to stakeholders at University College London o...
Jonathan Bartlett
Jonathan Bartlett
Jonathan Bartlett
Jonathan Bartlett
Jonathan Bartlett
Jonathan Bartlett
Jonathan Bartlett
Jonathan Bartlett
@lshtm.bsky.social will be running a 3-day online short course on using multiple imputation to handle missing data on 23-25th June 2026. Teaching staff include James Carpenter, Ruth Keogh, Clémence Leyrat, and myself. Further details about the course at www.lshtm.ac.uk/study/course...
Brennan Kahan
5mo
Statistical Analysis with Missing Data Using Multiple Imputation | LSHTM
www.lshtm.ac.uk
Jonathan Bartlett