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!
10.11.2025 08:35 β π 0 π 0 π¬ 0 π 0
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.
β> www.bmj.com/content/389/...
#openscience #transparency #medsky #statssky #episky
29.04.2025 05:59 β π 27 π 22 π¬ 1 π 1
Dags Yda Like Dags Mickey Oniel GIF
ALT: Dags Yda Like Dags Mickey Oniel GIF
New paper in @bmj.com. Ever been told βwhat does your DAG say?β or βshow me your DAGβ, or βok draw a DAGβ 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/...
26.03.2025 15:47 β π 56 π 26 π¬ 6 π 0
πWe 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.
π Bookmark the updated methodology: jbi-global-wiki.refined.site/space/MANUAL...
#JBImethodology
27.03.2025 02:17 β π 3 π 1 π¬ 0 π 0
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
24.03.2025 11:52 β π 28 π 11 π¬ 1 π 1
Bias written in wooden blocks
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/...
25.03.2025 18:24 β π 27 π 9 π¬ 0 π 0
: Taxonomy & Thesaurus for Health Research Methodology
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
13.03.2025 16:08 β π 1 π 0 π¬ 1 π 0
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 1/7Β
#MethodologyMonday #113
10.03.2025 07:27 β π 24 π 7 π¬ 3 π 0
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
18.02.2025 13:08 β π 47 π 12 π¬ 3 π 0
Defense Against Dishonest Charts
This is a guide to protect ourselves and to preserve what is good about turning data into visual things.
This excellent interactive tutorial on misleading data visualizations explores the idea of a "counter chart" β the graph you draw in response to refute a misleading claims
flowingdata.com/projects/dis...
15.02.2025 06:48 β π 1224 π 447 π¬ 53 π 51
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/...)
πThis new paper provides insight into uncertainty of risk estimate on decision making
www.bmj.com/content/388/...
13.02.2025 12:14 β π 8 π 8 π¬ 0 π 0
Powerful Myths: Common Misconceptions About Statistical Power
Lukas Lengersdorff and Claus Lamm discuss three misconceptions that stand in the way of an informed discussion.
Three Myths About Statistical Power
πΉοΈ Myth 1: Power is an objective feature
πΉοΈ Myth 2: With low power comes low credibility
πΉοΈ Myth 3: High power protects against questionable research practices
BSky author: @clauslamm.bsky.social
29.01.2025 19:09 β π 82 π 21 π¬ 5 π 2
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....
Hot off the press! π£π£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/...
27.01.2025 04:14 β π 151 π 64 π¬ 5 π 3
An issue that often comes up is how to set a βnon-inferiority marginβ in a non-inferiority trial and how to ensure it is appropriate 1/8
#MethodologyMonday #109
27.01.2025 07:32 β π 35 π 22 π¬ 2 π 3
Figure. Treatment Groups in an Example 2 x 2 Factorial Clinical Trial
JAMA Guide to Statistics and Methods: Factorial clinical trial designs allow for the simultaneous evaluation of multiple treatments and their interactions.
ja.ma/4gTWOB8
#MedSky
15.01.2025 20:03 β π 31 π 14 π¬ 1 π 0
"If you are going to write a scientific paper for publication, you are also going to have to write a response to reviewers". Advice on "How to write a response to reviewers" from a group of editors who've ready many, many thousands of such responses. www.europeanurology.com/article/S030...
09.01.2025 13:34 β π 17 π 10 π¬ 0 π 2
Illustrating the structures of bias from immortal time using directed acyclic graphs
AbstractBackground. Immortal time is a period of follow-up during which death or the study outcome cannot occur by design. Bias from immortal time has been
Our work on immortal time bias "Illustrating the structures of bias from immortal time using directed acyclic graphs" led by Emma Guoyi Yang @yanggy_hku is out at International Journal of Epidemiology: doi.org/10.1093/ije/.... Brief thread:
08.01.2025 08:50 β π 56 π 25 π¬ 5 π 1
Epidemiologist with an interest in causal inference methods at @universityofleeds.bsky.social.
Check out my Intro to Causal Inference Course: https://www.causal.training/
#Epidemiology, #EpiSky, #CausalInference, #CausalSky, #AcademicSky
Executive Director & Tier 1 Canada Research Chair, Li Ka Shing Knowledge Institute; Full Professor, University of Toronto; Co-Editor in Chief, Journal of Clinical Epidemiology
Professor of Medical Statistics @qmul.ac.uk. I study how to design evaluations of health technologies and health service interventions. Sometimes I just make patterns.
Editorial cartoonist at New York Daily News
Texas Medical Center (TMC) Pediatrics Professor-Vaccine Scientist-Author; Member, Philosophical Society of Texas, Texas Academy of Medicine Engineering Science Technology, National Academy of Medicine, American Academy of Arts and Sciences
In the Memory of Astronomer, Researcher, Educator, Communicator, Advocate and Activist who taught us importance of understanding Science.
Carl Sagan tribute account.
Le RΓ©seau FranΓ§ais de la Recherche Reproductible est une initiative nationale informelle rassemblant des scientifiques engagΓ©s dans lβΓ©tude des facteurs favorisant la reproductibilitΓ© de la recherche.
https://www.recherche-reproductible.fr/
Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
PhD | Epidemiology, Applied #CausalInference, #PublicHealth, Stroke research, improving quality, peer review, higher ed & research assessment reform
@ CharitΓ© in #Berlin
Likes: improving science & improv comedy
#EpiSky #Epidemiology #HigherEd #AcademicSky
memory, cognition, terminology, ontology, taxonomy
Thesaurus of human memory:
https://loterre.istex.fr/P66/en/
Blog:
https://blogdememovocab.fr
For information in French:
@memovocabfr.bsky.social
Professor, UW Biology / Santa Fe Institute
I study how information flows in biology, science, and society.
Book: *Calling Bullshit*, http://tinyurl.com/fdcuvd7b
LLM course: https://thebullshitmachines.com
Corvids: https://tinyurl.com/mr2n5ymk
he/him
Time expired epidemiologist
Open Science. Meta-Science. Editor-in-Chief at Meta-Psychology.
Professor (Research Policy and Culture) at University of Bristol. Meta- research, peer review, academic audit and knowledge systems. Epistemological boundary rider and curious pragmatist towards evidence for research culture change.
Master student in Psychology particularly interested in metascience, philosophy of science, methodology, psychometrics, rstats. In social media to find discussions about science.
Social science. Policy. Open science. Inequality. Meta science. Education.
https://sites.google.com/site/nbreznau/
https://crowdid.hypotheses.org
@diebonn.bsky.social
Prof in Philosophy and History of Science & Technology, Technical University of Munich | scientific director Ethical Data Initiative & Public Science Lab | http://opensciencestudies.eu | President ISHPSSB | loves almost all forms of life
Information science/information behaviour researcher | research partnerships | research project management | PhD candidate & A/Research Fellow @RMIT www.joannkcattlin.com
Full Prof. @UniGenova
Interested in social research history & methodology, social indicators, factual and political knowledge, fraud in science, circulation of knowledge.