All the details and registration at www.srmasig.org/seminar/upco...

Individual Participant Data Meta‐Analysis Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic review Recognise the scope, resources and challenges of IPD meta-analysis projects Appreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators Understand how to obtain, check, manage and harmonise IPD from multiple studies Examine risk of bias (quality) of IPD and minimise potential biases throughout the project Understand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them Clearly report and disseminate IPD meta-analyses to inform policy, practice and future research Critically appraise existing IPD meta-analysis projects Address specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout.

Not kidding about Dr. Riley being a leading expert. This man literally wrote (...err, edited...) The Book on IPD meta-analysis. onlinelibrary.wiley.com/doi/book/10....

...prognostic factors and risk prediction models. He will also highlight some of their challenges and pitfalls. Intended for a broad audience, the talk will help those considering, undertaking or appraising IPD meta-analysis projects.

In this talk, Dr. Riley will provide an introduction to Individual Participant Data (IPD) meta-analysis projects. He will explain their rationale, advantages and key steps, and discuss various examples including the examination of treatment effects, treatment-covariate interactions, test accuracy...

AERA Systematic Review and Meta-Analysis SIG Online Seminar Series Friday, May 16, 2025 8 am PDT / 9 am MDT / 10 am CDT / 11 am EDT / 15.00 UTC **note the earlier time** Individual Participant Data Meta-Analysis Projects: Rationale, Concepts and Pitfalls Dr. Richard Riley, University of Birmingham More details and registration at https://www.srmasig.org/seminar/upcoming-seminars/

Please join us next week Friday for our final seminar of the 2025 season! We are thrilled to be joined by Dr. Richard Riley (@richarddriley.bsky.social), a leading expert in individual participant data meta-analysis, to discuss the rationale, concepts, and pitfalls in conducting IPD syntheses.

Coming up in 15 minutes!

All the details and registration at www.srmasig.org/seminar/upco...

AERA Systematic Review and Meta-Analysis SIG Online Seminar Series Friday, April 18, 2025 9 am PST / 10 am MST / 11 am CST / 12 noon EST / 16.00 UTC Synthesizing Qualitative Evidence in Education: Opportunities and Challenges of Meta-Aggregation Dr. Yukiko Maeda, Purdue University College of Education More information at https://www.srmasig.org/seminar/upcoming-seminars/

The next meeting of our online seminar series will be next Friday, April 18th. We're delighted to be joined by Dr. Yukiko Maeda to talk about approaches to qualitative evidence synthesis and the challenges of applying these methods in education research.

All the details and registration at www.srmasig.org/seminar/upco...

AERA Systematic Review and Meta-Analysis SIG Online Seminar Series Friday, March 14, 2025 9 am PST / 10 am MST / 11 am CST / 12 noon EST / 16.00 UTC Launching a Living Systematic Review of SEL in a Politically Charged Climate: From Evidence Synthesis to Practical Significance Dr. Christina Cipriano, Yale School of Medicine More information at https://www.srmasig.org/seminar/upcoming-seminars/

The next meeting off our online seminar series is coming up in a little over a week, on Friday March 14. We are thrilled to host Dr. Chris Cipriano (@drchriscip.bsky.social) from the Yale School of Medicine to share her work developing a living systematic review on social emotional learning.

All the details and registration at www.srmasig.org/seminar/upco...

AERA Systematic Review and Meta-Analysis SIG Online Seminar Series Friday, February 14, 2025 9 am PST / 10 am MST / 11 am CST / 12 noon EST / 16.00 UTC Adapting Methods for Correcting Selective Reporting Bias in Meta-Analysis of Dependent Effect Sizes Dr. Man Chen, University of Texas at Austin More details and registration at https://www.srmasig.org/seminar/upcoming-seminars/

Our online seminar series will be continuing this semester with four great speakers. The first is coming up on Friday, February 14th. Dr. Man Chen from UT Austin will be presenting her work on Adapting Methods for Correcting Selective Reporting Bias in Meta-Analysis of Dependent Effect Sizes.

All the details and registration at www.srmasig.org/seminar/upco...

AERA Systematic Review and Meta-Analysis SIG Online Seminar Series Friday, December 13, 2024 9 am PST / 10 am MST / 11 am CST / 12 noon EST / 16.00 UTC Friday the 13th & Single Case Experimental Designs: Allegedly Unlucky Encounters for Meta-Analysts Dr. John Ferron, University of South Florida Dr. Megan Kirby, Language Dynamics Group More details and registration at https://www.srmasig.org/seminar/upcoming-seminars/

Please join us this Friday (12/13) for the next installment of our online seminar series. This month, Drs. John Ferron and Megan Kirby will be sharing recent work on how to approach effect sizes and meta-analysis of single-case designs.

Interested in trying out AI for abstract screening? Check out the recording of the November @srma-sig.bsky.social seminar where @mbye.bsky.social present the AIscreenR R package. Looks very promising.

www.srmasig.org/seminar/2024...

Details and registration info on our website here: www.srmasig.org

P.S. We have deleted our account on the Bad Old Place so would appreciate any help in spreading the word!

AERA Systematic Review and Meta-Analysis SIG Online Seminar Series Friday, November 15, 2024 9 am PST / 10 am MST / 11 am CST / 12 noon EST / 16.00 UTC Using GPT API Models as Second Screeners of Titles and Abstracts in High-Quality Systematic Reviews Dr. Mikkel Vembye Danish Center for Social Science Research More details: https://www.srmasig.org/seminar/upcoming-seminars/ Registration: https://us06web.zoom.us/meeting/register/tZIldOuorzwiGNAnEoedUXskxj2maT3GbmBH#/registration

Hey folks, our seminar series is still rolling along, and we've got a great talk coming up on Friday. Dr. Mikkel Vembye will be sharing his research work on using large language models as second screeners in systematic reviews.

Campbell Standards: Modernizing Campbell's Methodologic Expectations for Campbell Collaboration Intervention Reviews (MECCIR) Introduction The authors formed a small working group to modernize the Methodological Expectations for Campbell Collaboration Intervention Reviews (MECCIR). We reviewed comments and feedback from ed...

Important new guidance on methodology for Campbell Collaboration systematic reviews, from Ariel Aloe and colleagues
onlinelibrary.wiley.com/doi/10.1002/...

Our online seminar line-up for Fall 2024

Hey look, people are talking about me!