Meta-Analysis

[1]  Rolf A. Zwaan,et al.  The meaning of a claim is its reproducibility , 2017, Behavioral and Brain Sciences.

[2]  Donald R. Williams,et al.  Bayes Factors From Pooled Data Are No Substitute for Bayesian Meta-Analysis: Commentary on Scheibehenne, Jamil, and Wagenmakers (2016) , 2017, Psychological science.

[3]  Clemens Elster,et al.  Bayesian estimation in random effects meta‐analysis using a non‐informative prior , 2017, Statistics in medicine.

[4]  John P. A. Ioannidis,et al.  A manifesto for reproducible science , 2017, Nature Human Behaviour.

[5]  Buhm Han,et al.  Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores , 2016, Genomics & informatics.

[6]  U. Böckenholt,et al.  Adjusting for Publication Bias in Meta-Analysis , 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.

[7]  Jelte M. Wicherts,et al.  Conducting Meta-Analyses Based on p Values , 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.

[8]  Maxim Raginsky,et al.  Information-Theoretic Lower Bounds on Bayes Risk in Decentralized Estimation , 2016, IEEE Transactions on Information Theory.

[9]  M. Inzlicht,et al.  A Multilab Preregistered Replication of the Ego-Depletion Effect , 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.

[10]  Eric-Jan Wagenmakers,et al.  Bayesian Evidence Synthesis Can Reconcile Seemingly Inconsistent Results , 2016, Psychological science.

[11]  Ralf Bender,et al.  Methods to estimate the between‐study variance and its uncertainty in meta‐analysis† , 2015, Research synthesis methods.

[12]  Gene V. Glass,et al.  Meta‐analysis at middle age: a personal history , 2015, Research synthesis methods.

[13]  W. Shadish.  Introduction to the special issue on the origins of modern meta‐analysis , 2015, Research synthesis methods.

[14]  Josef A. Nossek,et al.  A Pessimistic Approximation for the Fisher Information Measure , 2015, IEEE Transactions on Signal Processing.

[15]  Evan C. Carter,et al.  A series of meta-analytic tests of the depletion effect: Self-control does not seem to rely on a limited resource. , 2015, Journal of experimental psychology. General.

[16]  Jin Peng,et al.  The Dilemma of Heterogeneity Tests in Meta-Analysis: A Challenge from a Simulation Study , 2015, PloS one.

[17]  Xiao-Hua Zhou,et al.  Statistical methods for dealing with publication bias in meta‐analysis , 2015, Statistics in medicine.

[18]  Emery N. Brown,et al.  Analysis of Neural Data , 2014 .

[19]  K. Markon,et al.  Toward a theory of distinct types of "impulsive" behaviors: A meta-analysis of self-report and behavioral measures. , 2014, Psychological bulletin.

[20]  John B. Copas,et al.  A likelihood‐based sensitivity analysis for publication bias in meta‐analysis , 2013 .

[21]  Erchin Serpedin,et al.  Gaussian Assumption: The Least Favorable but the Most Useful [Lecture Notes] , 2012, IEEE Signal Processing Magazine.

[22]  C. Huang-Pollock,et al.  Evaluating vigilance deficits in ADHD: a meta-analysis of CPT performance. , 2012, Journal of abnormal psychology.

[23]  Jennifer J. Richler,et al.  Effect size estimates: current use, calculations, and interpretation. , 2012, Journal of experimental psychology. General.

[24]  J. Sterne,et al.  The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials , 2011, BMJ : British Medical Journal.

[25]  M. Hagger,et al.  Ego depletion and the strength model of self-control: a meta-analysis. , 2010, Psychological bulletin.

[26]  D. Zeng,et al.  On the relative efficiency of using summary statistics versus individual-level data in meta-analysis. , 2010, Biometrika.

[27]  Michael S. Rosenberg,et al.  A Generalized Formula for Converting Chi-Square Tests to Effect Sizes for Meta-Analysis , 2010, PloS one.

[28]  W. Revelle,et al.  Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma , 2009 .

[29]  David J Spiegelhalter,et al.  A re-evaluation of random-effects meta-analysis , 2009, Journal of the Royal Statistical Society. Series A,.

[30]  John P A Ioannidis,et al.  Interpretation of tests of heterogeneity and bias in meta-analysis. , 2008, Journal of evaluation in clinical practice.

[31]  J. Ruscio,et al.  A probability-based measure of effect size: robustness to base rates and other factors. , 2008, Psychological methods.

[32]  R. Krueger,et al.  Reinterpreting comorbidity: a model-based approach to understanding and classifying psychopathology. , 2006, Annual review of clinical psychology.

[33]  H. Kraemer.  A simple effect size indicator for two-group comparisons? A comment on r equivalent. , 2005, Psychological methods.

[34]  S Natasha Beretvas,et al.  Meta-analytic methods of pooling correlation matrices for structural equation modeling under different patterns of missing data. , 2005, Psychological methods.

[35]  Bertrand Clarke,et al.  Decomposing posterior variance , 2004 .

[36]  D. Rubin,et al.  r equivalent: A simple effect size indicator. , 2003, Psychological methods.

[37]  T. Lumley.  Network meta‐analysis for indirect treatment comparisons , 2002, Statistics in medicine.

[38]  S Greenland,et al.  On the bias produced by quality scores in meta-analysis, and a hierarchical view of proposed solutions. , 2001, Biostatistics.

[39]  S Duval,et al.  Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis , 2000, Biometrics.

[40]  M. Egger,et al.  The hazards of scoring the quality of clinical trials for meta-analysis. , 1999, JAMA.

[41]  D O Stram,et al.  Meta-analysis of published data using a linear mixed-effects model. , 1996, Biometrics.

[42]  S G Thompson,et al.  A likelihood approach to meta-analysis with random effects. , 1996, Statistics in medicine.

[43]  D J Spiegelhalter,et al.  Bayesian approaches to random-effects meta-analysis: a comparative study. , 1995, Statistics in medicine.

[44]  D. Ones,et al.  Theory testing: Combining psychometric meta-analysis and structural equations modeling , 1995 .

[45]  C S Berkey,et al.  A random-effects regression model for meta-analysis. , 1995, Statistics in medicine.

[46]  H C Van Houwelingen,et al.  A bivariate approach to meta-analysis. , 1993, Statistics in medicine.

[47]  Fritz Drasgow,et al.  Bootstrap estimates of standard errors in validity generalization , 1992 .

[48]  Joel B. Greenhouse,et al.  Selection Models and the File Drawer Problem , 1988 .

[49]  Larry V. Hedges,et al.  Estimation of Effect Size under Nonrandom Sampling: The Effects of Censoring Studies Yielding Statistically Insignificant Mean Differences , 1984 .

[50]  Glen D Meeden,et al.  Unbiasedness as the Dual of Being Bayes , 1983 .

[51]  Helena C. Kraemer,et al.  A nonparametric technique for meta-analysis effect size calculation. , 1982 .

[52]  B. Everitt,et al.  Large sample standard errors of kappa and weighted kappa. , 1969 .

[53]  Peter J. Bickel,et al.  A NOTE ON BAYES ESTIMATES , 1967 .

[54]  W. G. Cochran.  The combination of estimates from different experiments. , 1954 .

[55]  J. Copas.  What works?: selectivity models and meta‐analysis , 1999 .

[56]  Bertrand S. Clarke,et al.  Asymptotic Normality of the Posterior in Relative Entropy , 1999, IEEE Trans. Inf. Theory.