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lightsdatabase.bsky.social
LIGHTS
@lightsdatabase.bsky.social
Library of Guidance for Health Scientists (www.lights.science). A searchable database of otherwise difficult-to-find methods guidance. Posts by @sschandelmaier.bsky.social
Dear @bmj.com,
Can you please fix the lack of abstracts in MEDLINE meta-data for your articles in "Methods and Reporting"?
We include many of them in the open-access @lightsdatabase.bsky.social but searchability isn't great without abstracts. Extracting abstracts from PDFs is not feasible. Thanks!
November 10, 2025 at 8:35 AM
Reposted by LIGHTS
Handling Missingness, Failures, and Non-Convergence in Simulation Studies: A Review of Current Practices and Recommendations. Samuel Pawel, František Bartoš, Björn S. Siepe, Anna Lohmann. The American Statistician. www.tandfonline.com/doi/full/10....
Handling Missingness, Failures, and Non-Convergence in Simulation Studies: A Review of Current Practices and Recommendations
Simulation studies are commonly used in methodological research for the empirical evaluation of data analysis methods. They generate artificial datasets under specified mechanisms and compare the p...
www.tandfonline.com
October 2, 2025 at 2:17 AM
Reposted by LIGHTS
NEW PAPER: Updated SPIRIT-2025 for reporting protocols of randomised trials is now available in the @BMJ.com, @JAMA.com, @thelancet.bsky.social, @PLoS.org, and @natmedicine.bsky.social.

—> www.bmj.com/content/389/...

#openscience #transparency #medsky #statssky #episky
April 29, 2025 at 5:59 AM
Reposted by LIGHTS
New paper in @bmj.com. Ever been told ‘what does your DAG say?” or “show me your DAG”, or “ok draw a DAG” and not sure what that means or how to get started? Well buckle up, because Fernando Hartwig, @neilmdavies.bsky.social and I wrote an RMR on just this topic. www.bmj.com/content/388/...
Dags Yda Like Dags Mickey Oniel GIF
ALT: Dags Yda Like Dags Mickey Oniel GIF
media.tenor.com
March 26, 2025 at 3:47 PM
Reposted by LIGHTS
🎉We are excited to announce the release of updated methodology for qualitative evidence synthesis! Updates include several new sections, such as equity qualitative evidence synthesis and reflexivity.

🔖 Bookmark the updated methodology: jbi-global-wiki.refined.site/space/MANUAL...

#JBImethodology
March 27, 2025 at 2:17 AM
Reposted by LIGHTS
NEW PAPER in the @bmj.com "PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or #artificialintelligence methods"

www.bmj.com/content/388/...

#StatsSky #MLSky #AI #MethodologyMatters
March 24, 2025 at 11:53 AM
Reposted by LIGHTS
Risk of bias assessment of randomised controlled trials has become an essential step in the systematic review process.

A new tool allows users to assess risk of bias of RCTs included in systematic reviews in a user friendly way
www.bmj.com/content/388/...
March 25, 2025 at 6:24 PM
Reposted by LIGHTS
New blog post! In which I explain the issue with mediation analysis and sketch out one way to deal with the underlying causal inference problem -- in just a bit over 1,000 words!

If you have never found the time to read up on this, now is your chance.

www.the100.ci/2025/03/20/r...
Reviewer notes: That’s a very nice mediation analysis you have there. It would be a shame if something happened to it.
Mediation analysis has gotten a lot of flak, including classic titles such as “Yes, but what’s the mechanism? (Don’t expect an easy answer)” (Bullock et al., 2010), “What mediation analysis can (not) ...
www.the100.ci
March 20, 2025 at 1:40 PM
Just published the Taxonomy & Thesaurus for Health Research Methodology (THEREMY), the emerging vocabulary underlying LIGHTS. It's still patchy but will grow and improve in tandem with LIGHTS.

Each term includes a link to LIGHTS. Suggestions are welcome!

loterre.istex.fr/Theremy/en/
#LOTERRE
: Taxonomy & Thesaurus for Health Research Methodology
loterre.istex.fr
March 13, 2025 at 4:08 PM
Reposted by LIGHTS
A common issue in trials is how to accommodate multiple important outcomes. Approaches include composite outcomes or using the win ratio method (I have posted on these before). A newer method is the #DOOR (Desirability of Outcome Ranking) approach 1/7 
#MethodologyMonday #113
March 10, 2025 at 7:27 AM
Reposted by LIGHTS
1/ When using observational data for #causalinference, emulating a target trial helps solve some problems... but not all problems.

In a new paper, we explain why and when the #TargetTrial framework is helpful.

www.acpjournals.org/doi/10.7326/...
Joint work with my colleagues @causalab.bsky.social
February 18, 2025 at 1:08 PM
Reposted by LIGHTS
This excellent interactive tutorial on misleading data visualizations explores the idea of a "counter chart" — the graph you draw in response to refute a misleading claims

flowingdata.com/projects/dis...
Defense Against Dishonest Charts
This is a guide to protect ourselves and to preserve what is good about turning data into visual things.
flowingdata.com
February 15, 2025 at 6:48 AM
Reposted by LIGHTS
TRIPOD+AI (Expanded E&E): "If uncertainty intervals for individual prediction model outputs have been presented then provide details on how this was done" (www.bmj.com/content/385/...)

👇This new paper provides insight into uncertainty of risk estimate on decision making

www.bmj.com/content/388/...
February 13, 2025 at 12:14 PM
Reposted by LIGHTS
This new paper explores the best way to implement reference-based multiple imputation for longitudinal binary data in #ClinicalTrials where data are missing after participants deviate from their assigned treatment.

Read now👇
https://buff.ly/4jJtGOW
@matteoq21.bsky.social @suziecro.bsky.social
Reference-Based Multiple Imputation for Longitudinal Binary Data
Reference-based multiple imputation provides a practical information anchored tool for inferences about the treatment effect for a treatment policy estimand with a longitudinal binary outcome. The latent multivariate normal model is the preferred implementation.
buff.ly
February 10, 2025 at 12:00 PM
Reposted by LIGHTS
Working on a factorial trial? The Explanation and Elaboration paper for the CONSORT and SPIRIT factorial extensions is now out in @bmj.com

It includes:
-examples of how to report factorial trials
-a methodology summary around the design/conduct/analysis of these trials

www.bmj.com/content/388/...
Guidance for protocol content and reporting of factorial randomised trials: explanation and elaboration of the CONSORT 2010 and SPIRIT 2013 extensions
This report presents the explanation and elaboration paper for the CONSORT (Consolidated Standards of Reporting Trials) 2010 and SPIRIT (Standard Protocol Items: Recommendations for Interventional Tri...
www.bmj.com
February 4, 2025 at 11:03 AM
Reposted by LIGHTS
Three Myths About Statistical Power

🔹️ Myth 1: Power is an objective feature

🔹️ Myth 2: With low power comes low credibility

🔹️ Myth 3: High power protects against questionable research practices

BSky author: @clauslamm.bsky.social
Powerful Myths: Common Misconceptions About Statistical Power
Lukas Lengersdorff and Claus Lamm discuss three misconceptions that stand in the way of an informed discussion.
www.psychologicalscience.org
January 29, 2025 at 7:09 PM
Reposted by LIGHTS
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/...
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....
onlinelibrary.wiley.com
January 27, 2025 at 4:14 AM
Reposted by LIGHTS
An issue that often comes up is how to set a “non-inferiority margin” in a non-inferiority trial and how to ensure it is appropriate 1/8
#MethodologyMonday #109
January 27, 2025 at 7:32 AM
Reposted by LIGHTS
Reposted by LIGHTS
When estimating a treatment effect with a cluster design, you need to include varying slopes, even if the fit gives warning messages.
statmodeling.stat.columbia.edu/2025/01/23/s...
When estimating a treatment effect with a cluster design, you need to include varying slopes, even if the fit gives warning messages. | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 23, 2025 at 2:54 PM