“‘Meta-Analysis’ Tag”,2021-01-02

Bibliography for tag statistics/meta-analysis, most recent first: 1 related tag, 47 annotations, & 14 links (parent).

• See Also
• Gwern
  • “Creatine Cognition Meta-Analysis”, Gwern2013
  • “The Replication Crisis: Flaws in Mainstream Science”, Gwern2010
  • “Lithium in Ground-Water and Well-Being”, Gwern2010
  • “Catnip Immunity and Alternatives”, Gwern2015
  • “Dual n-Back Meta-Analysis”, Gwern2012
  • “Iodine and Adult IQ Meta-Analysis”, Gwern2012
  • “Conscientiousness & Online Education”, Gwern2012
• Links
  • “Reproducible Variability: Assessing Investigator Discordance across 9 Research Teams Attempting to Reproduce the Same Observational Study”, Ostropolets et al 2023
  • “A Spotlight on Bias in the Growth Mindset Intervention Literature: A Reply to Commentaries That Contextualize the Discussion (Oyserman2023; Yan & Schuetze2023) and Illustrate the Conclusion (Tipton Et Al 2023)”, Macnamara & Burgoyne2023
  • “With Great Power Comes Great Responsibility: Common Errors in Meta-Analyses and Meta-Regressions in Strength & Conditioning Research”, Kadlec et al 2022
  • “Are Most Published Criminological Research Findings Wrong? Taking Stock of Criminological Research Using a Bayesian Simulation Approach”, Niemeyer et al 2022
  • “Do Meta-Analyses Oversell the Longer-Term Effects of Programs? (Part 1): Detecting Follow-Up Selection Bias in Studies of Postsecondary Education Programs”, Bailey & Weiss2022
  • “Revisiting Meta-Analytic Estimates of Validity in Personnel Selection: Addressing Systematic Overcorrection for Restriction of Range”, Sackett et al 2021
  • “No Strong Evidence of Stereotype Threat in Females: A Reassessment of the Meta-Analysis”, Warne2021
  • “No Need to Choose: Robust Bayesian Meta-Analysis With Competing Publication Bias Adjustment Methods”, Bartoš et al 2021
  • “The Statistical Properties of RCTs and a Proposal for Shrinkage”, Zwet et al 2020
  • “Specification Curve Analysis”, Simonsohn et al 2020
  • “Estimating Population Mean Power Under Conditions of Heterogeneity and Selection for Significance”, Brunner & Schimmack2020
  • “Comparing Meta-Analyses and Preregistered Multiple-Laboratory Replication Projects”, Kvarven et al 2019
  • “Statistical Methods for Replicability Assessment”, Hung & Fithian2019
  • “What Can We Learn from Many Labs Replications? 3. Can Replication Studies Detect Fraud?”, Stroebe2019
  • “Estimation of Clinical Trial Success Rates and Related Parameters”, Wong et al 2019
  • “Improving Active Learning in Systematic Reviews”, Singh et al 2018
  • “The Heterogeneity Problem in Meta-Analytic Structural Equation Modeling (MASEM) Revisited: A Reply to Cheung”, Yu et al 2018
  • “Evaluation of Evidence of Statistical Support and Corroboration of Subgroup Claims in Randomized Clinical Trials”, Association2017
  • “Performance of Informative Priors Skeptical of Large Treatment Effects in Clinical Trials: A Simulation Study”, Pedroza et al 2015
  • “Assessment of Vibration of Effects due to Model Specification Can Demonstrate the Instability of Observational Associations”, Patel et al 2015
  • “Predictive Distributions for Between-Study Heterogeneity and Simple Methods for Their Application in Bayesian Meta-Analysis”, Turner et al 2014
  • “Meta-Analysis Using Effect Size Distributions of Only Statistically-Significant Studies”, Assen et al 2014
  • “Association Between Analytic Strategy and Estimates of Treatment Outcomes in Meta-Analyses”, Dechartres et al 2014
  • “p-Curve: A Key to the File-Drawer”, Simonsohn et al 2014
  • “When Mice Mislead: Tackling a Long-Standing Disconnect between Animal and Human Studies, Some Charge That Animal Researchers Need Stricter Safeguards and Better Statistics to Ensure Their Science Is Solid”, Couzin-Frankel2013
  • “PET-PEESE: Meta-Regression Approximations to Reduce Publication Selection Bias”, Stanley & Doucouliagos2013
  • “Methods for Second Order Meta-Analysis and Illustrative Applications”, Schmidt & Oh2013
  • “The Ironic Effect of Significant Results on the Credibility of Multiple-Study Articles”, Schimmack2012
  • “Statistically-Significant Meta-Analyses of Clinical Trials Have Modest Credibility and Inflated Effects”, Pereira & Ioannidis2011
  • “The Truth Wears Off: Is There Something Wrong With the Scientific Method?”, Lehrer2010
  • “CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomized Trials Free”, Schulz2010
  • “CONSORT 2010 Explanation and Elaboration: Updated Guidelines for Reporting Parallel Group Randomized Trials”, Moher2010
  • “CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomized Trials”, Schulz et al 2010
  • “Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement”, Moher et al 2009
  • “Overstating the Evidence: Double Counting in Meta-Analysis and Related Problems”, Senn2009
  • “Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration”, Vandenbroucke et al 2007
  • “An Exploratory Test for an Excess of Statistically-Significant Findings”, Ioannidis & Trikalinos2007
  • “Methods of Meta-Analysis: Correcting Error and Bias in Research Findings”, Hunter & Schmidt2004
  • “Improving the Reporting Quality of Nonrandomized Evaluations of Behavioral and Public Health Interventions: The TREND Statement”, Jarlais2004
  • “Measuring Inconsistency in Meta-Analyses”, Higgins2003
  • “Personal Reflections on Lessons Learned from Randomized Trials Involving Newborn Infants, 1951^–₁₆1967_57ya”, Silverman2003
  • “Psychological Testing and Psychological Assessment: A Review of Evidence and Issues”, Meyer et al 2001
  • “Trim and Fill: A Simple FunnelPlotBased Method of Testing and Adjusting for Publication Bias in MetaAnalysis”
  • “Bias in Meta-Analysis Detected by a Simple, Graphical Test”, Egger et al 1997
  • “The Effects of Corticosteroid Administration Before Preterm Delivery: an Overview of the Evidence from Controlled Trials”
  • “The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration”, Liberati et al 2024
  • “16.5.4 How to Include Multiple Groups from One Study”
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