Jonathan Bartlett
@jonathan-bartlett.bsky.social
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
Reposted by Jonathan Bartlett
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...
www.findaphd.com/phds/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 College London o...
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
October 22, 2025 at 10:46 AM
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...
www.findaphd.com/phds/project...
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
Quantitative bias analysis for mismeasured variables in health research: a review of software tools | BMC Medical Research Methodology
rdcu.be
September 3, 2025 at 8:09 AM
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
Reposted by Jonathan Bartlett
Are estimands being correctly used?
A new review of protocols led by Timothy Clark shows many incorrectly defined estimand attributes. See the top areas for improvement & full results here:
trialsjournal.biomedcentral.com/articles/10.... #Trials
A new review of protocols led by Timothy Clark shows many incorrectly defined estimand attributes. See the top areas for improvement & full results here:
trialsjournal.biomedcentral.com/articles/10.... #Trials
September 1, 2025 at 7:30 AM
Are estimands being correctly used?
A new review of protocols led by Timothy Clark shows many incorrectly defined estimand attributes. See the top areas for improvement & full results here:
trialsjournal.biomedcentral.com/articles/10.... #Trials
A new review of protocols led by Timothy Clark shows many incorrectly defined estimand attributes. See the top areas for improvement & full results here:
trialsjournal.biomedcentral.com/articles/10.... #Trials
Reposted by Jonathan Bartlett
September @vicbiostat.bsky.social seminar:
Camila Olarte Parra from @causalab.bsky.social Karolinska will speak on combining information from trial participants and non-participants in registry-based trials.
All welcome online 25 September.
More info:
www.vicbiostat.org.au/event/combin...
Camila Olarte Parra from @causalab.bsky.social Karolinska will speak on combining information from trial participants and non-participants in registry-based trials.
All welcome online 25 September.
More info:
www.vicbiostat.org.au/event/combin...
Combining information from trial participants and non-participants in registry-based trials
Even though the advantages of randomised tria
www.vicbiostat.org.au
August 11, 2025 at 7:13 AM
September @vicbiostat.bsky.social seminar:
Camila Olarte Parra from @causalab.bsky.social Karolinska will speak on combining information from trial participants and non-participants in registry-based trials.
All welcome online 25 September.
More info:
www.vicbiostat.org.au/event/combin...
Camila Olarte Parra from @causalab.bsky.social Karolinska will speak on combining information from trial participants and non-participants in registry-based trials.
All welcome online 25 September.
More info:
www.vicbiostat.org.au/event/combin...
We are recruiting a Research Fellow to develop machine learning based methods for handling missing data @lshtm.bsky.social. See jobs.lshtm.ac.uk/vacancy.aspx... for more details.
Job Opportunity at LSHTM: Research Fellow
The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working i...
jobs.lshtm.ac.uk
August 20, 2025 at 12:07 PM
We are recruiting a Research Fellow to develop machine learning based methods for handling missing data @lshtm.bsky.social. See jobs.lshtm.ac.uk/vacancy.aspx... for more details.
Reposted by Jonathan Bartlett
We are looking forward to hearing @jonathan-bartlett.bsky.social speak on the G-formula for causal inference using synthetic multiple imputation at the July @vicbiostat.bsky.social seminar!
All welcome online Thursday 24th, 4:00pm Aus EST (7:00am UK time).
www.vicbiostat.org.au/event/g-form...
All welcome online Thursday 24th, 4:00pm Aus EST (7:00am UK time).
www.vicbiostat.org.au/event/g-form...
G-formula for causal inference using synthetic multiple imputation
G-formula is a popular approach for estimatin
www.vicbiostat.org.au
July 23, 2025 at 2:04 AM
We are looking forward to hearing @jonathan-bartlett.bsky.social speak on the G-formula for causal inference using synthetic multiple imputation at the July @vicbiostat.bsky.social seminar!
All welcome online Thursday 24th, 4:00pm Aus EST (7:00am UK time).
www.vicbiostat.org.au/event/g-form...
All welcome online Thursday 24th, 4:00pm Aus EST (7:00am UK time).
www.vicbiostat.org.au/event/g-form...
Reposted by Jonathan Bartlett
HIRING!
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
PhD Candidates Causal machine learning – Performance assessment of causal predictive algorithms | LUMC
Do you want to work on challenging problems within causal inference and contribute to algorithms that support treatment decisions for individual patients? As PhD candidate causal machine learning at t...
www.lumc.nl
May 19, 2025 at 8:39 AM
HIRING!
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
Reposted by Jonathan Bartlett
1/ NEW R PACKAGE! For estimating the impact of potential interventions on multiple mediators in countering exposure effects (led by @cttc101.bsky.social)
- Paper👉 tinyurl.com/ye26jsps
- Package👉 tinyurl.com/yuh4kens
Thread shows published examples of how the method can be used! #EpiSky #CausalSky
- Paper👉 tinyurl.com/ye26jsps
- Package👉 tinyurl.com/yuh4kens
Thread shows published examples of how the method can be used! #EpiSky #CausalSky
tinyurl.com
July 10, 2025 at 1:30 AM
1/ NEW R PACKAGE! For estimating the impact of potential interventions on multiple mediators in countering exposure effects (led by @cttc101.bsky.social)
- Paper👉 tinyurl.com/ye26jsps
- Package👉 tinyurl.com/yuh4kens
Thread shows published examples of how the method can be used! #EpiSky #CausalSky
- Paper👉 tinyurl.com/ye26jsps
- Package👉 tinyurl.com/yuh4kens
Thread shows published examples of how the method can be used! #EpiSky #CausalSky
Reposted by Jonathan Bartlett
📣 Calling everyone working in #datascience #biostatistics #clinicaltrials
We’re bringing together experts on target-trial emulation and other frameworks, where we’ll explore the role and potential of observational data for evaluating the effects of interventions
Don’t miss out 🔽
bit.ly/TTE_25
We’re bringing together experts on target-trial emulation and other frameworks, where we’ll explore the role and potential of observational data for evaluating the effects of interventions
Don’t miss out 🔽
bit.ly/TTE_25
June 10, 2025 at 2:02 PM
📣 Calling everyone working in #datascience #biostatistics #clinicaltrials
We’re bringing together experts on target-trial emulation and other frameworks, where we’ll explore the role and potential of observational data for evaluating the effects of interventions
Don’t miss out 🔽
bit.ly/TTE_25
We’re bringing together experts on target-trial emulation and other frameworks, where we’ll explore the role and potential of observational data for evaluating the effects of interventions
Don’t miss out 🔽
bit.ly/TTE_25
Reposted by Jonathan Bartlett
🚨 Next month, we’ll be hosting a one-day event on target-trial emulation and other frameworks, exploring the role and potential of observational data for evaluating the effects of interventions
Open to everyone working in #datascience #biostatistics #clinicaltrials
Get your ticket 🔽
bit.ly/TTE_25
Open to everyone working in #datascience #biostatistics #clinicaltrials
Get your ticket 🔽
bit.ly/TTE_25
May 27, 2025 at 11:55 AM
🚨 Next month, we’ll be hosting a one-day event on target-trial emulation and other frameworks, exploring the role and potential of observational data for evaluating the effects of interventions
Open to everyone working in #datascience #biostatistics #clinicaltrials
Get your ticket 🔽
bit.ly/TTE_25
Open to everyone working in #datascience #biostatistics #clinicaltrials
Get your ticket 🔽
bit.ly/TTE_25
Join us on 10th June (online or in London @lshtm-dash.bsky.social ) to hear from Matthew Sperrin talk about his work on 'Prediction under intervention: challenges and trade-offs'.More details at www.lshtm.ac.uk/newsevents/e...
Prediction under intervention: challenges and trade-offs | LSHTM
Causality and prediction are often two separate activities. In particular, prediction can be done in a way that is agnostic to underlying knowledge, mechanism or causal structure. However, it is very
www.lshtm.ac.uk
May 13, 2025 at 3:58 PM
Join us on 10th June (online or in London @lshtm-dash.bsky.social ) to hear from Matthew Sperrin talk about his work on 'Prediction under intervention: challenges and trade-offs'.More details at www.lshtm.ac.uk/newsevents/e...
Reposted by Jonathan Bartlett
📆 SAVE THE DATE: 26 June 📆 for our 1-day event on “Target trial emulation and other frameworks: The role and potential of observational data for evaluating effects of interventions”, hosted by the Centre for Data & Statistical Science for Health (DASH) at LSHTM. @lshtm-dash.bsky.social
April 24, 2025 at 6:12 PM
📆 SAVE THE DATE: 26 June 📆 for our 1-day event on “Target trial emulation and other frameworks: The role and potential of observational data for evaluating effects of interventions”, hosted by the Centre for Data & Statistical Science for Health (DASH) at LSHTM. @lshtm-dash.bsky.social
Should data observed after intercurrent events handled by the hypothetical strategy be used in estimation of treatment effects? Rhian Daniel and I investigate... thestatsgeek.com/2025/04/03/t...
The role of post intercurrent event data in the estimation of hypothetical estimands in clinical trials
Clinical trial estimands which make use of the so-called hypothetical strategy target the effect of one randomised treatment compared to another in a scenario where the corresponding intercurrent e…
thestatsgeek.com
April 3, 2025 at 9:10 AM
Should data observed after intercurrent events handled by the hypothetical strategy be used in estimation of treatment effects? Rhian Daniel and I investigate... thestatsgeek.com/2025/04/03/t...
'G-formula with multiple imputation for causal inference with incomplete data'. Open access in Statistical Methods in Medical Research. doi.org/10.1177/0962...
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
doi.org
April 2, 2025 at 7:11 PM
'G-formula with multiple imputation for causal inference with incomplete data'. Open access in Statistical Methods in Medical Research. doi.org/10.1177/0962...
Reposted by Jonathan Bartlett
📣 📣NEW PAPER providing guidance on best practice for using multiple imputation when estimating interventional mediation effects, considering missingness mechanism, multiple imputation model specification, & variance estimation
#CausalSky #EpiSky
Read more 👇🏽
journals.lww.com/epidem/abstr...
#CausalSky #EpiSky
Read more 👇🏽
journals.lww.com/epidem/abstr...
Handling multivariable missing data in causal mediation... : Epidemiology
miologic studies. However, guidance is lacking on best practice for using multiple imputation when estimating interventional mediation effects, specifically regarding the role of missingness mechanism...
journals.lww.com
April 2, 2025 at 6:39 AM
📣 📣NEW PAPER providing guidance on best practice for using multiple imputation when estimating interventional mediation effects, considering missingness mechanism, multiple imputation model specification, & variance estimation
#CausalSky #EpiSky
Read more 👇🏽
journals.lww.com/epidem/abstr...
#CausalSky #EpiSky
Read more 👇🏽
journals.lww.com/epidem/abstr...
Reposted by Jonathan Bartlett
New paper! We extend my prior work on prognostic adjustment to work with generalized linear models. This is a nice way to gain power in randomized trials (eg with binary outcomes) by leveraging historical data in a way that does not sacrifice type I error control.
arxiv.org/abs/2503.22284
arxiv.org/abs/2503.22284
Powering RCTs for marginal effects with GLMs using prognostic score adjustment
In randomized clinical trials (RCTs), the accurate estimation of marginal treatment effects is crucial for determining the efficacy of interventions. Enhancing the statistical power of these analyses ...
arxiv.org
March 31, 2025 at 7:14 PM
New paper! We extend my prior work on prognostic adjustment to work with generalized linear models. This is a nice way to gain power in randomized trials (eg with binary outcomes) by leveraging historical data in a way that does not sacrifice type I error control.
arxiv.org/abs/2503.22284
arxiv.org/abs/2503.22284
Imputation of factor variables when you have partial information about some of the missing values. See here for more details thestatsgeek.com/2025/03/27/m...
Multiple imputation for coarsened (grouped) factor covariates
Missing data are a common problem in statistical analyses. A closely related but slightly different problem is when for an individual in a dataset, although we do not know the exact value of a part…
thestatsgeek.com
March 27, 2025 at 10:33 AM
Imputation of factor variables when you have partial information about some of the missing values. See here for more details thestatsgeek.com/2025/03/27/m...
3rd April, in London and online, come and hear @rlgrant.bsky.social talk about his new book with Gian Luca Di Tanna on Bayesian meta-analysis. Further details at www.lshtm.ac.uk/newsevents/e...
Demystifying Bayesian meta-analysis for researchers | LSHTM
Bayesian models offer a powerful framework for meta-analysis through their flexible and probabilistic treatment of uncertainty.There are several methodological challenges in evidence synthesis,
www.lshtm.ac.uk
March 19, 2025 at 3:32 PM
3rd April, in London and online, come and hear @rlgrant.bsky.social talk about his new book with Gian Luca Di Tanna on Bayesian meta-analysis. Further details at www.lshtm.ac.uk/newsevents/e...
Reposted by Jonathan Bartlett
The EuroCIM program is live! Explore the sessions, speakers, and schedule here: www.eurocim.org/program.html. Get ready for an exciting conference! 🎉
March 11, 2025 at 8:54 AM
The EuroCIM program is live! Explore the sessions, speakers, and schedule here: www.eurocim.org/program.html. Get ready for an exciting conference! 🎉
Reposted by Jonathan Bartlett
New post on dealing with missing baseline values in randomised trials that analyse change-from-baseline
open.substack.com/pub/tpmorris...
open.substack.com/pub/tpmorris...
March 6, 2025 at 4:44 PM
New post on dealing with missing baseline values in randomised trials that analyse change-from-baseline
open.substack.com/pub/tpmorris...
open.substack.com/pub/tpmorris...
Reposted by Jonathan Bartlett
Interested in using g-methods with time-varying confounders? 💡
Advanced Confounding Adjustment (ACA) teaches inverse probability weighting, parametric g-formula, & more.
📆 June 16-20, 2025
Taught by Joy Shi, Barbra Dickerman, @miguelhernan.org.
Register now:
causalab.hsph.harvard.edu/courses/
Advanced Confounding Adjustment (ACA) teaches inverse probability weighting, parametric g-formula, & more.
📆 June 16-20, 2025
Taught by Joy Shi, Barbra Dickerman, @miguelhernan.org.
Register now:
causalab.hsph.harvard.edu/courses/
March 6, 2025 at 9:40 PM
Interested in using g-methods with time-varying confounders? 💡
Advanced Confounding Adjustment (ACA) teaches inverse probability weighting, parametric g-formula, & more.
📆 June 16-20, 2025
Taught by Joy Shi, Barbra Dickerman, @miguelhernan.org.
Register now:
causalab.hsph.harvard.edu/courses/
Advanced Confounding Adjustment (ACA) teaches inverse probability weighting, parametric g-formula, & more.
📆 June 16-20, 2025
Taught by Joy Shi, Barbra Dickerman, @miguelhernan.org.
Register now:
causalab.hsph.harvard.edu/courses/
Reposted by Jonathan Bartlett
It's a weird time to post about my research given ongoing events, but I'm going to share a new preprint
It's my 3rd paper in a series on synthesizing statistical and mathematical models, oriented to be more of an introduction with a NHANES example
arxiv.org/abs/2503.02789
It's my 3rd paper in a series on synthesizing statistical and mathematical models, oriented to be more of an introduction with a NHANES example
arxiv.org/abs/2503.02789
Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
Introduction: Missing data is a challenge to medical research. Accounting for missing data by imputing or weighting conditional on covariates relies on the variable with missingness being observed at ...
arxiv.org
March 6, 2025 at 2:06 PM
It's a weird time to post about my research given ongoing events, but I'm going to share a new preprint
It's my 3rd paper in a series on synthesizing statistical and mathematical models, oriented to be more of an introduction with a NHANES example
arxiv.org/abs/2503.02789
It's my 3rd paper in a series on synthesizing statistical and mathematical models, oriented to be more of an introduction with a NHANES example
arxiv.org/abs/2503.02789
What is meant by a 'while on treatment' estimand? thestatsgeek.com/2025/03/03/w...
March 3, 2025 at 1:02 PM
What is meant by a 'while on treatment' estimand? thestatsgeek.com/2025/03/03/w...
Reposted by Jonathan Bartlett
Want to learn the fundamental principles of #ClinicalTrials?🔬
Explore key issues in design, conduct, analysis & reporting on our hybrid short course. Designed for clinical research professionals, managers & scientists.
Runs 7 - 11 July 2025
Apply now✍️ bit.ly/2NldNE4
Explore key issues in design, conduct, analysis & reporting on our hybrid short course. Designed for clinical research professionals, managers & scientists.
Runs 7 - 11 July 2025
Apply now✍️ bit.ly/2NldNE4
February 25, 2025 at 3:53 PM
Want to learn the fundamental principles of #ClinicalTrials?🔬
Explore key issues in design, conduct, analysis & reporting on our hybrid short course. Designed for clinical research professionals, managers & scientists.
Runs 7 - 11 July 2025
Apply now✍️ bit.ly/2NldNE4
Explore key issues in design, conduct, analysis & reporting on our hybrid short course. Designed for clinical research professionals, managers & scientists.
Runs 7 - 11 July 2025
Apply now✍️ bit.ly/2NldNE4
Reposted by Jonathan Bartlett
doi.org/10.1002/sim....
Our paper "A Comparison of Statistical Methods for Time-To-Event Analyses in Randomized Controlled Trials Under Non-Proportional Hazards" got published today 🎉
We describe commonly used methods, and compare their performance in a simulation study across different scenarios.
Our paper "A Comparison of Statistical Methods for Time-To-Event Analyses in Randomized Controlled Trials Under Non-Proportional Hazards" got published today 🎉
We describe commonly used methods, and compare their performance in a simulation study across different scenarios.
A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards
While well-established methods for time-to-event data are available when the proportional hazards assumption holds, there is no consensus on the best inferential approach under non-proportional hazar...
doi.org
February 20, 2025 at 2:00 PM
doi.org/10.1002/sim....
Our paper "A Comparison of Statistical Methods for Time-To-Event Analyses in Randomized Controlled Trials Under Non-Proportional Hazards" got published today 🎉
We describe commonly used methods, and compare their performance in a simulation study across different scenarios.
Our paper "A Comparison of Statistical Methods for Time-To-Event Analyses in Randomized Controlled Trials Under Non-Proportional Hazards" got published today 🎉
We describe commonly used methods, and compare their performance in a simulation study across different scenarios.