Jonathan Bartlett
@jonathan-bartlett.bsky.social
📤 1016
📥 150
📝 45
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
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
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How large is large enough? Sample size calculations for clinical prediction
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
https://www.lshtm.ac.uk/newsevents/events/how-large-large-enough-sample-size-calculations-clinical-prediction-models
about 7 hours ago
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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...
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Perspectives on statistics in medicine: Annual joint LSHTM/RSS lecture | LSHTM
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
https://www.lshtm.ac.uk/newsevents/events/perspectives-statistics-medicine-annual-joint-lshtmrss-lecture
22 days ago
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A few places left on our online 3 day course on multiple imputation for missing data...
add a skeleton here at some point
28 days ago
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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...
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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
https://www.lshtm.ac.uk/newsevents/events/test-negative-design-what-bias-it-intended-address
28 days ago
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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...
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How can different modes of survey data collection introduce bias? | LSHTM
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
https://www.lshtm.ac.uk/newsevents/events/how-can-different-modes-survey-data-collection-introduce-bias
4 months ago
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'How to interpret hazard ratios', with
@dominicmagirr.bsky.social
and
@timpmorris.bsky.social
thestatsgeek.com/2026/01/15/h...
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How to interpret hazard ratios
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…
https://thestatsgeek.com/2026/01/15/how-to-interpret-hazard-ratios/
5 months ago
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@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...
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Statistical Analysis with Missing Data Using Multiple Imputation | LSHTM
https://www.lshtm.ac.uk/study/courses/short-courses/missing-data
5 months ago
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reposted by
Jonathan Bartlett
The EuroCIM
7 months ago
🥳 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/...
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reposted by
Jonathan Bartlett
Brennan Kahan
7 months ago
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...
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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...
https://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/?p188615
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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
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Quantitative bias analysis for mismeasured variables in health research: a review of software tools | BMC Medical Research Methodology
https://rdcu.be/eDRn2
9 months ago
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reposted by
Jonathan Bartlett
Suzie Cro
9 months ago
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
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reposted by
Jonathan Bartlett
Myra McGuinness
10 months ago
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...
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Combining information from trial participants and non-participants in registry-based trials
Even though the advantages of randomised tria
https://www.vicbiostat.org.au/event/combining-information-trial-participants-and-non-participants-registry-based-trials
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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.
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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...
https://jobs.lshtm.ac.uk/vacancy.aspx?ref=EPH-MS-2025-10
10 months ago
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reposted by
Jonathan Bartlett
Myra McGuinness
11 months ago
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...
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G-formula for causal inference using synthetic multiple imputation
G-formula is a popular approach for estimatin
https://www.vicbiostat.org.au/event/g-formula-causal-inference-using-synthetic-multiple-imputation
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Jonathan Bartlett
Nan van Geloven
about 1 year ago
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...
.
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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...
https://www.lumc.nl/en/about-lumc/werken-bij/vacancies/d.25.jd.ak.56-phd-kandidaat-causal-machine-learning--evalueren-van-causale-voorspelalgoritmes
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reposted by
Jonathan Bartlett
Margarita Moreno-Betancur
11 months ago
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
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https://tinyurl.com/ye26jsps
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reposted by
Jonathan Bartlett
Data & Statistical Science for Health, LSHTM
12 months ago
📣 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
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reposted by
Jonathan Bartlett
Data & Statistical Science for Health, LSHTM
about 1 year ago
🚨 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
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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...
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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
https://www.lshtm.ac.uk/newsevents/events/prediction-under-intervention-challenges-and-trade-offs
about 1 year ago
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reposted by
Jonathan Bartlett
Ruth Keogh
about 1 year ago
📆 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
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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...
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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…
https://thestatsgeek.com/2025/04/03/the-role-of-post-intercurrent-event-data-in-the-estimation-of-hypothetical-estimands-in-clinical-trials/
about 1 year ago
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'G-formula with multiple imputation for causal inference with incomplete data'. Open access in Statistical Methods in Medical Research.
doi.org/10.1177/0962...
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Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
https://doi.org/10.1177/09622802251316971
about 1 year ago
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reposted by
Jonathan Bartlett
Ghazaleh Dashti
about 1 year ago
📣 📣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...
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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...
https://journals.lww.com/epidem/abstract/9900/handling_multivariable_missing_data_in_causal.362.aspx
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reposted by
Jonathan Bartlett
Alejandro Schuler
about 1 year ago
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
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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 ...
https://arxiv.org/abs/2503.22284
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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...
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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…
https://thestatsgeek.com/2025/03/27/multiple-imputation-for-coarsened-grouped-factor-covariates/
about 1 year ago
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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...
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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,
https://www.lshtm.ac.uk/newsevents/events/demystifying-bayesian-meta-analysis-researchers
about 1 year ago
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reposted by
Jonathan Bartlett
The EuroCIM
about 1 year ago
The EuroCIM program is live! Explore the sessions, speakers, and schedule here:
www.eurocim.org/program.html
. Get ready for an exciting conference! 🎉
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reposted by
Jonathan Bartlett
Tim Morris
about 1 year ago
New post on dealing with missing baseline values in randomised trials that analyse change-from-baseline
open.substack.com/pub/tpmorris...
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reposted by
Jonathan Bartlett
CAUSALab
about 1 year ago
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/
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Jonathan Bartlett
Pausal Zivference
about 1 year ago
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
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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 ...
https://arxiv.org/abs/2503.02789
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What is meant by a 'while on treatment' estimand?
thestatsgeek.com/2025/03/03/w...
over 1 year ago
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reposted by
Jonathan Bartlett
London School of Hygiene & Tropical Medicine
over 1 year ago
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
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reposted by
Jonathan Bartlett
Tobias Fellinger
over 1 year ago
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.
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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...
https://doi.org/10.1002/sim.70019
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'Dealing with multiple intercurrent events using hypothetical and treatment policy strategies simultaneously' by Camila Olarte Parra, Rhian Daniel, and myself.
arxiv.org/abs/2502.03329
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Dealing with multiple intercurrent events using hypothetical and treatment policy strategies simultaneously
To precisely define the treatment effect of interest in a clinical trial, the ICH E9 estimand addendum describes that relevant so-called intercurrent events should be identified and strategies specifi...
https://arxiv.org/abs/2502.03329
over 1 year ago
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reposted by
Jonathan Bartlett
London School of Hygiene & Tropical Medicine
over 1 year ago
👋Don't miss LSHTM's upcoming Virtual Open Days (11-13 Feb 2025). Join live webinars & Q&A sessions with programme directors & current students to find out what makes LSHTM a leader in
#GlobalHealth
education. Book your place now👉
www.lshtm.ac.uk/study/visit-...
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'Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case study', led by Camila Olarte Parra, with Rhian Daniel and David Wright, now available open access in Biometrics:
doi.org/10.1093/biom...
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Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case study
ABSTRACT. The ICH E9 addendum on estimands in clinical trials provides a framework for precisely defining the treatment effect that is to be estimated, but
https://doi.org/10.1093/biomtc/ujae167
over 1 year ago
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Jonathan Bartlett
Margarita Moreno-Betancur
over 1 year ago
NOW PUBLISHED! Correction to: “Canonical causal diagrams to guide the treatment of missing data in epidemiologic studies"
doi.org/10.1093/aje/...
Grateful to have had the opportunity to correct our paper translating missingness DAGs (m-DAGs) into epidemiological practice
#CausalSky
#EpiSky
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Correction to: “Canonical causal diagrams to guide the treatment of missing data in epidemiologic studies”
Moreno-Betancur et al.1 report and correct here errors in their article “Canonical causal diagrams to guide the treatment of missing data in epidemiologic
https://doi.org/10.1093/aje/kwae406
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reposted by
Jonathan Bartlett
Rushani Wijesuriya
over 1 year ago
Hot off the press! 📣📣In this tutorial we illustrate available multiple imputation approaches for handling longitudinal data including when they are clustered within higher level clusters. A reproducible example with R and Stata code provided!
#OpenAccess
onlinelibrary.wiley.com/doi/10.1002/...
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Multiple Imputation for Longitudinal Data: A Tutorial
Longitudinal studies are frequently used in medical research and involve collecting repeated measures on individuals over time. Observations from the same individual are invariably correlated and thu....
https://onlinelibrary.wiley.com/doi/10.1002/sim.10274?af=R
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Jonathan Bartlett
Margarita Moreno-Betancur
over 1 year ago
WORKSHOPS! On causal inference, missing data and SMARTs, part of the ViCBiostat Summer School (10-14 Feb, hybrid). For more details & registration visit:
www.vicbiostat.org.au/short-courses
#CausalSky
#EpiSky
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reposted by
Jonathan Bartlett
Jon Michael Gran
over 1 year ago
We're still seeking candidates interested in causal inference and/or survival analysis for a postdoc position in Oslo. Deadline January 31. Please apply or forward this to anyone who might be interested!
www.jobbnorge.no/en/available...
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Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144) | University of Oslo
Job title: Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144), Employer: University of Oslo, Deadline: Friday, January 31, 2025
https://www.jobbnorge.no/en/available-jobs/job/272144/four-year-postdoc-position-at-the-oslo-centre-for-biostatistics-and-epidemiology-ocbe
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reposted by
Jonathan Bartlett
Peter Tennant
over 1 year ago
"Have directed acyclic graphs fullfilled their promise?" - the recording of my debate with
@margaritamb.bsky.social
at the World Congress of Epidemiology 2024 is now available on YouTube!
www.youtube.com/watch?v=FG79...
#EpiSky
#CausalSky
#WCE2025
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WCE2024 - INT02 - Debate - Have DAGS fulfilled their promise?
YouTube video by World Congress of Epidemiology 2024
https://www.youtube.com/watch?v=FG79SR-zQbI
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Jonathan Bartlett
The EuroCIM
over 1 year ago
🎉 Happy New Year! 🎉 Kickstart 2025 with exciting news! 🌟 Registrations for EuroCIM 2025 are now OPEN! Secure your spot with early-bird discounts until March 1. 🔔 Reminder: Abstract submissions close January 15, 23:00 CET—don’t miss your chance to contribute!
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reposted by
Jonathan Bartlett
Hayley Jones
over 1 year ago
📣Still time to apply for this job - closing date 13th January. A 5 year post doc position for a statistician with expertise in evidence synthesis / meta-analysis. Opportunity to join the excellent Bristol Evidence synthesis Appraisal and Modelling Centre at the University of Bristol, UK!
add a skeleton here at some point
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New paper led by Thomas Drury
arxiv.org/abs/2412.12380
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The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
The creation of the ICH E9 (R1) estimands framework has led to more precise specification of the treatment effects of interest in the design and statistical analysis of clinical trials. However, it is...
https://arxiv.org/abs/2412.12380
over 1 year ago
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reposted by
Jonathan Bartlett
Kaspar Rufibach
over 1 year ago
Statistical Thinking Across Borders: Building Bridges and Expanding Horizons in Clinical Biostatistics at the 46th Annual Conference of the ISCB (International Society for Clinical Biostatistics), this time in the Trinational Eurodistrict of Basel, Switzerland, from August 24th to 28th, 2025.
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Jonathan Bartlett
Tim Morris
over 1 year ago
Hot off the preprint server: ‘Efficiency of nonparametric superiority tests based on restricted mean survival time versus the log-rank test under proportional hazards’ Short thread 👇 1/
arxiv.org/abs/2412.06442
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Efficiency of nonparametric superiority tests based on restricted mean survival time versus the log-rank test under proportional hazards
Background: For RCTs with time-to-event endpoints, proportional hazard (PH) models are typically used to estimate treatment effects and logrank tests are commonly used for hypothesis testing. There is...
https://arxiv.org/abs/2412.06442
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Jonathan Bartlett
Iván Díaz
over 1 year ago
I see renewed discussion on
#statsky
about the interpretation of confidence intervals. I will leave here this quote from Larry Wasserman's All of Statistics, which I love. Controlling one's lifetime proportion of studies with an interval that does not contain the parameter is surely desirable!
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Jonathan Bartlett
Jack Wilkinson
over 1 year ago
Funding available to do a PhD on statistical methods for assessing the integrity of RCTs, based in Aberdeen, with Alison Avenell, myself, Graeme MacLennan and Mark Bolland. Competitive process, funded by MRC Trials Methodology Research Partnership:
www.findaphd.com/phds/project...
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Investigating statistical methods to assess the conduct and integrity of clinical trials at University of Aberdeen on FindAPhD.com
PhD Project - Investigating statistical methods to assess the conduct and integrity of clinical trials at University of Aberdeen , listed on FindAPhD.com
https://www.findaphd.com/phds/project/investigating-statistical-methods-to-assess-the-conduct-and-integrity-of-clinical-trials/?p175687
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Jonathan Bartlett
Ruth Keogh
over 1 year ago
New paper from Shaun Seaman and me on how to simulate data from marginal structural models (MSMs) for survival outcomes, including Cox MSMs. This can be useful in simulation studies evaluating causal inference methods that use MSMs. R code provided.
onlinelibrary.wiley.com/doi/10.1002/...
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Simulating Data From Marginal Structural Models for a Survival Time Outcome
Marginal structural models (MSMs) are often used to estimate causal effects of treatments on survival time outcomes from observational data when time-dependent confounding may be present. They can be...
https://onlinelibrary.wiley.com/doi/10.1002/bimj.70010
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