Matthew B. Jané

@MatthewBJane
428 Followers
175 Following
71 Posts
PhD Student interested in meta-analysis and psychometric methods at the University of Connecticut. Methodological reviewer at Psychological Bulletin.
Matthew B. JanéMar 19, 2024
Physalia-coursesMar 19, 2024

🚀Join us to dive into the world of #MetaAnalysis with @MatthewBJane in this 4-day course!

📚This course provides a thorough introduction to meta-analysis in R using the metafor, psychmeta, and @easystats4u
packages

Don't miss out –https://www.physalia-courses.org/courses-workshops/metain-r/

Meta-analysis in R

10-14 February 2025 To foster international participation, this course will be held online

physalia-courses
Matthew B. JanéJan 6, 2024
Matthew B. JanéJan 3, 2024

Big 2024 announcement! The “Guide to Effect Sizes and Confidence Intervals” had a pretty substantial update and is slowly becoming the most comprehensive resource on effect sizes and confidence intervals.

https://matthewbjane.quarto.pub/guide-to-effect-sizes-and-confidence-intervals/

Guide to Effect Sizes and Confidence Intervals

Show threadMatthew B. JanéJan 3, 2024
- A bolstered section on ANOVA including examples with real data.
- Organizing tables for quick references and descriptions for each chapter that includes effect sizes
- more visualizations for the chapters on ANOVA, mean differences, and regression
Show threadMatthew B. JanéJan 3, 2024

Here are some of the new additions:

- We have a new way to contribute to the book. We have now incorporated Hypothesis.is directly to the quarto book. Click the little arrow on the top right of the website page and suggest edits and make comments with text, code, and/or latex
- A whole chapter on dedicated to differences in variability
- A section within the “Mean Differences” chapter for Pre-post-control
- Response ratios
- A chapter on regression

Matthew B. JanéJan 3, 2024

Big 2024 announcement! The “Guide to Effect Sizes and Confidence Intervals” had a pretty substantial update and is slowly becoming the most comprehensive resource on effect sizes and confidence intervals.

https://matthewbjane.quarto.pub/guide-to-effect-sizes-and-confidence-intervals/

Guide to Effect Sizes and Confidence Intervals

Show threadMatthew B. JanéOct 31, 2023

To contribute, you can suggest edits in the following google doc: https://mgto.org/effectsizeguide

@giladfeldman @qinyu_xiao

Matthew B. JanéOct 31, 2023
The effect size and confidence interval guide has now been reformatted into a Quarto book. This guide contains all the equations and code you will need to compute effect sizes and their confidence intervals. It will be constantly updated and maintained! https://matthewbjane.quarto.pub/effect-size-and-confidence-intervals-guide/
Guide to Effect Sizes and Confidence Intervals

Matthew B. JanéOct 28, 2023
Ken Koon WongOct 28, 2023
Here, we have demonstrated three different methods for calculating NNT with meta-analysis data. I learned a lot from this experience, and I hope you find it enjoyable and informative. Thank you, @wwrighID, for initiating the discussion, @DrToddLee for contributing a brilliant method of pooling a single proportion from the control group. Special thanks to @MatthewBJane meta-analysis maestro, for guiding me toward the correct equation to calculate event proportions, 🙏 https://www.kenkoonwong.com/blog/metannt/
Approaches to Calculating Number Needed to Treat (NNT) with Meta-Analysis | Everyday Is A School Day

Here, we have demonstrated three different methods for calculating NNT with meta-analysis data. I learned a lot from this experience, and I hope you find it enjoyable and informative as well. Thank you, @wwrighID, for initiating the discussion and providing a pivotal example by using the highest weight control event proportion to back-calculate ARR and, eventually, NNT. I also want to express my gratitude to @DrToddLee for contributing a brilliant method of pooling a single proportion from the control group for further estimation. Special thanks to @MatthewBJane, the meta-analysis maestro, for guiding me toward the correct equation to calculate event proportions, with weight estimated by the random effect model. 🙏

Everyday Is A School Day
Matthew B. JanéOct 18, 2023
Physalia-coursesOct 18, 2023

Registrations are now open for the new edition of the #MetaAnalysis in #Rstats with @MatthewBJane in May!

Check it out:https://www.physalia-courses.org/courses-workshops/metain-r/

Meta-analysis in R

10-14 February 2025 To foster international participation, this course will be held online

physalia-courses
Matthew B. JanéOct 4, 2023
I made a little diagram for illustrating the difference between common effect and random effects meta-analyses. #metaanalysis