Meta-research
Last updated on
Aug 31, 2020
Meta-research is an emerging discipline, whose goal is to evaluate and improve research practices. This research theme includes work on research methods, reproducibility, evaluation, and communicating science.
Daniel S. Quintana
Associate Professor
Investigating biological systems that link psychosocial factors to health, with a focus on neuroendocrine systems and the autonomic nervous system.
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Publications
Adjusting for Publication Bias in JASP & R — Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis
Meta-analyses are essential for cumulative science, but their validity can be compromised by publication bias. In order to mitigate the …
František Bartoš, Maximilian Maier, Daniel S. Quintana, Eric-Jan Wagenmakers
Unlocking sports medicine research data while maintaining participant privacy via synthetic datasets
There is an opportunity for sports medicine to progress research ideation using synthetic datasets, maintaining research momentum when …
John Warmenhoven, Andrew Harrison, Daniel S Quintana, Giles Hooker, Edward Gunning, Norma Bargary
How podcasts can benefit scientific communities
We describe how podcasts can benefit scientific communities by disseminating career-specific information that is often unwritten and hidden to those outside academic social knowledge networks. We also provide practical advice on how scientists can launch their own podcasts.
Daniel S Quintana, James Heathers
Registration, reporting, and replication in clinical trials: The case of anorexia nervosa
Objective: Treatment outcomes for anorexia nervosa (AN) remain modest, and recent research suggests that clinical trials may be of …
Stuart B. Murray, Emilio J. Compte, Daniel S. Quintana, Deborah Mitchison, Scott Griffiths, Jason M. Nagata
Meta-analysis misunderstood: a cautionary tale in interpreting meta-analytic findings
Stuart B. Murray, Daniel S. Quintana, Katharine L. Loeb, Scott Griffiths, Ross D. Crosby, Daniel Le Grange
Treatment outcomes for anorexia nervosa: a systematic review and meta-analysis of randomized controlled trials
Background: To determine the impact of specialized treatments, relative to comparator treatments, upon the weight and psychological …
Stuart B. Murray, Daniel S. Quintana, Katharine L. Loeb, Scott Griffiths, Daniel Le Grange
Talks
Reproducible meta-analysis
In this talk, discuss the benefits of pre-registering meta-analysis, and ways to increase the transparency of meta-analyses
Jan 26, 2022 12:00 PM
University of Glasgow
Applying open science practices to clinical research
I discuss the benefits of applying open science practices to clinical research, and how you can create openly available data sets that allow others to reproduce your results while maintaining participant privacy via synthetic datasets.
Jun 26, 2021 12:00 PM
Improving the credibility of meta-analysis
In this talk, I present two remedies for analytical flexibility in meta-analysis: pre-registration and multiverse analysis. Reducing analytical flexibility, in parallel with releasing raw data and analysis scripts, will improve the credibility of meta-analysis.
Jul 30, 2020 12:00 PM