Martin Posch
@poschm.bsky.social
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Medical statistics / Innovative clinical trial designs
reposted by
Martin Posch
Stephen Senn
29 days ago
#ISCB46
very nice talk by Michael Kammer on COVID-19 prognostic models, which involved a ādeep diveā into the pond life of modelling. Bottom line: āIf looking for reliable models, donāt hold your breath.ā
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reposted by
Martin Posch
Stephen Senn
about 1 month ago
Pleased to report on two papers on
#ANVOVA
with
@poschm.bsky.social
and Franz Kƶnig The first
lnkd.in/eKmjiQdk
looks at median stratification for a single covariate. The second
lnkd.in/e3DH96G8
considers adjustment for many covariates. Variance inflation factors are key.
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We invite applications for a 1-year postdoctoral/postgraduate researcher position at the Institute of Medical Statistics, MedUni Vienna working in a collaborative project with regulatory authorities on causal inference for treatment effect estimation in RCTs
cloudius.meduniwien.ac.at/index.php/s/...
about 1 month ago
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Martin Posch
SHARE CTD
5 months ago
Welcome to the official Bluesky account of SHARE-CTD! We're a European research network dedicated to enhancing clinical trial data sharing to advance medical research and the betterment of society. Learn more:
share-ctd.eu
#SHARECTD
#OpenScience
#DataSharing
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NEWS
New article "The validation of prediction models deserves more recognition" published in BMC Medicine 2025.03.24 Begüm Irmak Ćn and Ulrich Mā¦
https://share-ctd.eu/
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Martin Posch
ENAR
7 months ago
Congratulations to the
#ENAR2025
Student Paper Award Winners! Checkout these eight winners (more to come). Catch their presentations at the 2025 ENAR Spring Conference.
#ENAR
#StudentAwards
#NewOrleans
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reposted by
Martin Posch
Stephen Senn
7 months ago
A revised version of the paper with
@poschm.bsky.social
and Franz Koenig on stratification and covariate adjustment in clinical trials is now up
arxiv.org/pdf/2408.06760
We thank Robin Ristl and
@timpmorris.bsky.social
for helpful comments.
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https://arxiv.org/pdf/2408.06760
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reposted by
Martin Posch
Marion Campbell
7 months ago
This past month has seen the publication of a couple of new helpful papers providing further insights into the thorny issue of
#MultipleTesting
in trials 1/7
#MethodologyMonday
#112
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reposted by
Martin Posch
Tobias Fellinger
7 months 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 š 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 TimeāToāEvent Analyses in Randomized Controlled Trials Under NonāProportional 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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reposted by
Martin Posch
Florian Naudet
7 months ago
Some news of SHARE-CTD. Good news.
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NEWS
First schooling at Wissenschaftszentrum Schloss Reisensburg 2025.02.01 The 1st schooling of the SHARE-CTD project took place in person with internatioā¦
https://www.sharectd.eu/
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reposted by
Martin Posch
Steve Tonkin
10 months ago
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4 perspectives on the use of LLM in the practice of science
www.pnas.org/doi/10.1073/...
. Should LLM be seen as collaborators?
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How should the advancement of large language models affect the practice of science? | PNAS
Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of...
https://www.pnas.org/doi/10.1073/pnas.2401227121
8 months ago
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Together with Cyrus Mehta and Ajoy Mukhopadhyay, we present a unified framework for graph-based adaptive designs in multi-arm, multi-endpoint, two-stage studies. This approach integrates multiple strategies to enable flexible confirmatory trial designs. Preprint:
arxiv.org/abs/2501.03197
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Graph Based, Adaptive, Multi Arm, Multiple Endpoint, Two Stage Design
The graph based approach to multiple testing is an intuitive method that enables a study team to represent clearly, through a directed graph, its priorities for hierarchical testing of multiple hypoth...
https://arxiv.org/abs/2501.03197
9 months ago
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reposted by
Martin Posch
Frank Bretz
9 months ago
A beautifully written interview by Alex Sverdlov featuring my colleague Amy Racine-Poon, published in the International Statistical Review.
doi.org/10.1111/insr...
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A Conversation With Amy RacineāPoon
Professor Dr. Amy Racine-Poon is best known for her interdisciplinary contributions as an applied Bayesian statistician in the pharmaceutical industry and healthcare. She was born in Hong Kong and ob...
https://doi.org/10.1111/insr.12605
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reposted by
Martin Posch
Danielle Bitterman MD
9 months ago
TRIPOD-LLM is out! Check out our consensus guidelines for reporting
#LLM
research in biomedicine. TRIPOD-LLM is intended to be a living guideline to keep up with the rapid advances in LLMs. Kudos to lead author Dr. Jack Gallifant
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reposted by
Martin Posch
Journal of Clinical Epidemiology
9 months ago
Priors and decision thresholds in phase 2 and phase 3 randomized controlled trials evaluating drug efficacy using Bayesian methods: a systematic review -
@jclinepi.bsky.social
www.jclinepi.com/article/S089...
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Priors and decision thresholds in phase 2 and phase 3 randomized controlled trials evaluating drug efficacy using Bayesian methods: a systematic review
To describe the priors and decision thresholds in phase 2 and 3 RCTs evaluating drug efficacy using Bayesian methods.
https://www.jclinepi.com/article/S0895-4356%2824%2900407-4/fulltext
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reposted by
Martin Posch
David Colquhoun
9 months ago
"It's easy to get a false positive risk of 40% withOUT any cheating at all"
add a skeleton here at some point
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reposted by
Martin Posch
Michelle Greene
9 months ago
Amazing collective problem solving in ants:
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Great essay by David Spiegelhalter!
add a skeleton here at some point
9 months ago
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reposted by
Martin Posch
Richard Riley (R²)
11 months ago
Developing a prediction model? Ever wondered how to target sample size to improve model fairness and precision of risk estimates? Check out our new pre-print & software package pmstabilityss
arxiv.org/abs/2407.09293
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Sample size for developing a prediction model with a binary outcome: targeting precise individual risk estimates to improve clinical decisions and fairness
When developing a clinical prediction model, the sample size of the development dataset is a key consideration. Small sample sizes lead to greater concerns of overfitting, instability, poor performanc...
https://arxiv.org/abs/2407.09293
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reposted by
Martin Posch
Richard Riley (R²)
10 months ago
Great to see this R package:
stephenrho.github.io/pminternal/
Implements the (in)stability plots and checks recommended by myself &
@gscollins.bsky.social
after developing a prediction model Our paper is here:
onlinelibrary.wiley.com/doi/full/10....
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Internal Validation of Clinical Prediction Models
Conduct internal validation of a clinical prediction model for a binary outcome. Produce bias corrected performance metrics (c-statistic, calibration slope) via bootstrap (simple bootstrap, boots...
https://stephenrho.github.io/pminternal/
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reposted by
Martin Posch
Journal of Clinical Epidemiology
10 months ago
The Journal of Clinical Epidemiology is, as of today, present at Bluesky š And, only here, you can have a sneak preview of our new journal and website design. But of course, our contents remains key, with many thanks to our authors, reviewers, editorial board and editorial team
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reposted by
Martin Posch
Richard Riley (R²)
10 months ago
Last year I published research proving (yes, proving š ) that new episodes of Doctor Who on Christmas Day reduce death rates in UK Since then, the BBC have shown brand new episodes on Christmas Day! Including this year! Who said my research has no impact? ā¤ļøā¤ļø
#DoctorWho
www.bmj.com/content/383/...
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reposted by
Martin Posch
Richard Riley (R²)
9 months ago
Christmas 2024 Gift no. 4 NEW VIDEO: "IPD Meta-Analysis: Two-stage or Not Two-Stage? That is the question..."
youtu.be/WFSAfouhB-8
- guidance for when to choose a one-stage rather than a two-stage approach, & vice versa. - ideas showcased using real examples (no equations) I hope useful!
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IPD Meta-Analysis: Two-stage or Not Two-Stage? That is the question ...
YouTube video by Richard_D_Riley
https://youtu.be/WFSAfouhB-8
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reposted by
Martin Posch
Ben Goldacre
10 months ago
If you've been wondering where I went: my team in Oxford (60 of us!) build beautiful tools for NHS data. We help researchers work on the whole nation's GP records while protecting - provably - everyone's privacy. It's big potatoes!
www.youtube.com/watch?v=GRjR...
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OpenSAFELY in a nutshell
YouTube video by Bennett Institute for Applied Data Science
https://www.youtube.com/watch?v=GRjRqOAIVy8
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reposted by
Martin Posch
Tim Morris
10 months ago
Hot off the preprint server: āEfficiency of nonparametric superiority tests based on restricted mean survival time versus the log-rank test under proportional hazardsā Short thread š 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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reposted by
Martin Posch
Dax Kellie
10 months ago
If you missed my talk but still want to learn how to make your R code more reproducible, my slides are here š:
daxkellie.quarto.pub/will-your-co...
All the links to packages and resources I mentioned are there, so hopefully this can be a nice reference, too!
#ESAus2024
#rstats
#quartopub
š§Ŗš
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Itās time to prepare for the next revolution in computing
www.nature.com/articles/d41...
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āA truly remarkable breakthroughā: Googleās new quantum chip achieves accuracy milestone
Error-correction feat shows quantum computers will get more accurate as they grow larger.
https://www.nature.com/articles/d41586-024-04028-3
10 months ago
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reposted by
Martin Posch
Stephen Senn
10 months ago
'...suppose that Sir R.A. Fisher ... had not taken over from ordinary English such evocative words as "sufficient," "efficient," & "consistent" & made them into precisely defined terms of statistical theory...Would his work have had the same smashing influence that it did?' Kruskal, 1978
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reposted by
Martin Posch
Stephen Senn
10 months ago
"In randomized experiments, the effects of this variable are distributed among the groups by the randomization in a way that is taken into account in the standard tests of significance. ." Cochran 1957. NB "distributed". He does not say "balanced." See also
errorstatistics.com/2020/04/20/s...
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S. Senn: Randomisation is not about balance, nor about homogeneity but about randomness (Guest Post)
Stephen Senn Consultant Statistician Edinburgh The intellectual illness of clinical drug evaluation that I have discussed here can be cured, and it will be cured when we restore intellectual primacā¦
https://errorstatistics.com/2020/04/20/s-senn-randomisation-is-not-about-balance-nor-about-homogeneity-but-about-randomness-guest-post/
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reposted by
Martin Posch
Christoph Bock Lab @ CeMM & MedUni Vienna
10 months ago
We are recruiting a Tenure-track Assistant Professor "Machine Learning in the Life Sciences" at the Medical University of Vienna. We will nominate the top candidate for a ⬠1.8 million starting grant by a Viennese foundation. Deadline: Dec 31st. Details:
medical-epigenomics.org/files/Tenure...
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reposted by
Martin Posch
James E. Pustejovsky
10 months ago
Okay here's your
#stats
trivia question for the day, on propensity scores and regression adjustment. Say that you're using entropy-balancing propensity score weights to estimate an average treatment effect for the treated (ATT). Zhao and Percival show that this estimator is doubly robust... 1/
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reposted by
Martin Posch
Andrew Partington
10 months ago
While they're all the rage, Adrian Barnett always has me thinking twice about the usefulness of prediction models ... "Evidence of questionable research practices in clinical prediction models"
bmcmedicine.biomedcentral.com/articles/10....
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Evidence of questionable research practices in clinical prediction models - BMC Medicine
Background Clinical prediction models are widely used in health and medical research. The area under the receiver operating characteristic curve (AUC) is a frequently used estimate to describe the dis...
https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-023-03048-6
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reposted by
Martin Posch
Ben Goldacre
10 months ago
"Why doesn't the NHS use its GP data?". Because of privacy... Because it's hard... But we solved it. We developed new privacy protections... We built
docs.OpenSAFELY.org
! 181 projects! 31 organisations! Now, they come together, for the first time, in 3D!
www.bennett.ox.ac.uk/blog/2024/10...
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OpenSAFELY Symposium 2024: there's still time to sign up | Bennett Institute for Applied Data Science
Itās not too late to register for our 2nd Annual OpenSAFELY Symposium, which is happening in London on 25/26 November.
https://www.bennett.ox.ac.uk/blog/2024/10/opensafely-symposium-2024-theres-still-time-to-sign-up/
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reposted by
Martin Posch
Ruth Keogh
10 months 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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reposted by
Martin Posch
Stephen Senn
10 months ago
Senior Moment. I was just thinking "its abut time I posted something about regression dilution" when I discovered I did so over 2.5 years ago. Here is is
www.linkedin.com/pulse/traged...
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A Tragedy of Errors
Observing the Truth? If you wish to estimate the change in an outcome Y that accompanies a change in a predictor X and it is the relationship between the expected value of Y and the true value of X th...
https://www.linkedin.com/pulse/tragedy-errors-stephen-senn/
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reposted by
Martin Posch
Munya Dimairo
10 months ago
Our part 2 series paper in peer review... Confidence intervals for adaptive trial designs II: Case study and practical guidance
arxiv.org/abs/2411.08771
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Confidence intervals for adaptive trial designs II: Case study and practical guidance
In adaptive clinical trials, the conventional confidence interval (CI) for a treatment effect is prone to undesirable properties such as undercoverage and potential inconsistency with the final hypoth...
https://arxiv.org/abs/2411.08771
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reposted by
Martin Posch
Munya Dimairo
10 months ago
Our part 1 series paper in peer review ... Confidence intervals for adaptive trial designs I: A methodological review
arxiv.org/abs/2411.08495
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Confidence intervals for adaptive trial designs I: A methodological review
Regulatory guidance notes the need for caution in the interpretation of confidence intervals (CIs) constructed during and after an adaptive clinical trial. Conventional CIs of the treatment effects ar...
https://arxiv.org/abs/2411.08495
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