Most cited papers in Statistical Methods and Bayesian Inference
What are the most cited papers in Statistical Methods and Bayesian Inference?
The most cited paper in Statistical Methods and Bayesian Inference is "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing" (Yoav Benjamini, Yosef Hochberg, 1995), with 112,351 citations. Next come "Fitting Linear Mixed-Effects Models Using lme4" (89,183) and "Bias in meta-analysis detected by a simple, graphical test" (57,774).
Showing 50 of 96 papers. Every paper with more than 3,203 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing Yoav Benjamini, Yosef Hochberg · Journal of the Royal Statistical Society Series B (Statistical Methodology) | 1995 | 112,351 |
| 2 | Fitting Linear Mixed-Effects Models Using lme4 Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software | 2015 | 89,183 |
| 3 | Bias in meta-analysis detected by a simple, graphical test Matthias Egger, George Davey Smith, Martin Schneider et al. · BMJ | 13 Sep 1997 | 57,774 |
| 4 | Nonparametric Estimation from Incomplete Observations Edward L. Kaplan, Paul Meier · Springer series in statistics | 1992 | 45,535 |
| 5 | Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses Franz Faul, Edgar Erdfelder, Axel Buchner et al. · Behavior Research Methods | Nov 2009 | 37,775 |
| 6 | The central role of the propensity score in observational studies for causal effects Paul R. Rosenbaum, Donald B. Rubin · Biometrika | 1983 | 31,609 |
| 7 | Alternative Ways of Assessing Model Fit Michael W. Browne, Robert A. Cudeck · Sociological Methods & Research | Nov 1992 | 25,414 |
| 8 | lmerTest Package: Tests in Linear Mixed Effects Models Alexandra Kuznetsova, Per B. Brockhoff, Rune Haubo Bojesen Christensen · Journal of Statistical Software | 2017 | 24,675 |
| 9 | Comparative fit indexes in structural models. Peter M. Bentler · Psychological Bulletin | 1990 | 24,151 |
| 10 | Longitudinal data analysis using generalized linear models Kung‐Yee Liang, Scott L. Zeger · Biometrika | 1986 | 18,362 |
| 11 | Hierarchical Linear Models: Applications and Data Analysis Methods Marie Davidian · Journal of the American Statistical Association | Sep 2003 | 13,916 |
| 12 | glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling Mollie,E. Brooks, Kasper Kristensen, Koen,J.,van Benthem et al. · The R Journal | 2017 | 13,419 |
| 13 | Discussion on the paper by Spiegelhalter, Best, Carlin and van der Linde Gelfand, A. E., Trevisani, M. · ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) | 2002 | 12,900 |
| 14 | Bayes Factors Robert E. Kass, Adrian E. Raftery · Journal of the American Statistical Association | Jun 1995 | 12,591 |
| 15 | An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies Peter C. Austin · Multivariate Behavioral Research | 31 May 2011 | 12,403 |
| 16 | Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range Xiang Wan, Wenqian Wang, Jiming Liu et al. · BMC Medical Research Methodology | Dec 2014 | 11,974 |
| 17 | Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Li‐tze Hu, Peter M. Bentler · Psychological Methods | Dec 1998 | 11,619 |
| 18 | Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study Karen Nylund‐Gibson, Tihomir Asparouhov, Bengt Muthén · Structural Equation Modeling A Multidisciplinary Journal | 23 Oct 2007 | 11,377 |
| 19 | Missing data: Our view of the state of the art. Joseph L. Schafer, J. A. Graham · Psychological Methods | 2002 | 11,073 |
| 20 | Multiple imputation using chained equations: Issues and guidance for practice Ian R. White, Patrick J Royston, ANGELA M. WOOD · Statistics in Medicine | 30 Nov 2010 | 10,013 |
| 21 | MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS Frank E. Harrell, Kerry L. Lee, Daniel B. Mark · Statistics in Medicine | 29 Feb 1996 | 10,006 |
| 22 | brms : An R Package for Bayesian Multilevel Models Using Stan Paul‐Christian Bürkner · Journal of Statistical Software | 2017 | 9,892 |
| 23 | Inference and missing data Donald B. Rubin · Biometrika | 1976 | 9,875 |
| 24 | A Modified Poisson Regression Approach to Prospective Studies with Binary Data Guangyong Zou · American Journal of Epidemiology | 19 Mar 2004 | 9,806 |
| 25 | Estimating causal effects of treatments in randomized and nonrandomized studies. Donald B. Rubin · Journal of Educational Psychology | Oct 1974 | 9,635 |
| 26 | A simulation study of the number of events per variable in logistic regression analysis Peter N. Peduzzi, John Concato, Elizabeth Kemper et al. · Journal of Clinical Epidemiology | Dec 1996 | 9,562 |
| 27 | Estimating the mean and variance from the median, range, and the size of a sample Stela Pudar Hozo, Benjamin Djulbegović, Iztok Hozo · BMC Medical Research Methodology | 20 Apr 2005 | 9,308 |
| 28 | The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics Trevor Breusch, Adrian Rodney Pagan · The Review of Economic Studies | 1980 | 9,003 |
| 29 | A Test of Missing Completely at Random for Multivariate Data with Missing Values Roderick J. A. Little · Journal of the American Statistical Association | Dec 1988 | 8,570 |
| 30 | Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models Simon N. Wood · Journal of the Royal Statistical Society Series B (Statistical Methodology) | 14 Sep 2010 | 7,832 |
| 31 | Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods David P. MacKinnon, Chondra M. Lockwood, Jason G. Williams · Multivariate Behavioral Research | 2004 | 7,804 |
| 32 | Stan : A Probabilistic Programming Language Bob Carpenter, Andrew Gelman, Matthew D. Hoffman et al. · Journal of Statistical Software | 2017 | 7,589 |
| 33 | Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls Jonathan A C Sterne, Ian R. White, John B. Carlin et al. · BMJ | 29 Jun 2009 | 7,402 |
| 34 | Generalized Linear Models John Ashworth Nelder, R. W. M. Wedderburn · Journal of the Royal Statistical Society Series A (General) | 1972 | 7,300 |
| 35 | A basic introduction to fixed-effect and random-effects models for meta-analysis Michael R. Borenstein, Larry Vernon Hedges, Julian P. T. Higgins et al. · Research Synthesis Methods | Apr 2010 | 6,963 |
| 36 | Applied Missing Data Analysis Craig K. Enders | 23 Apr 2010 | 6,889 |
| 37 | Sampling-Based Approaches to Calculating Marginal Densities Alan E. Gelfand, A. F. M. Smith · Journal of the American Statistical Association | Jun 1990 | 6,716 |
| 38 | Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature Tianfeng Chai, Roland R. Draxler · Geoscientific model development | 30 Jun 2014 | 6,448 |
| 39 | MissForest—non-parametric missing value imputation for mixed-type data Daniel Johannes Stekhoven, Peter Bühlmann · Bioinformatics | 28 Oct 2011 | 6,389 |
| 40 | Sensitivity Analysis in Observational Research: Introducing the E-Value Tyler J. VanderWeele, Peng Ding · Annals of Internal Medicine | 10 Jul 2017 | 6,298 |
| 41 | Permutation tests for joinpoint regression with applications to cancer rates Hyune-Ju Kim, Michael P. Fay, Eric J. Feuer et al. · Statistics in Medicine | 15 Feb 2000 | 6,278 |
| 42 | Missing Data Analysis: Making It Work in the Real World J. A. Graham · Annual Review of Psychology | 24 Jul 2008 | 6,220 |
| 43 | Spatial Interaction and the Statistical Analysis of Lattice Systems Julian E. Besag · Journal of the Royal Statistical Society Series B (Statistical Methodology) | 1974 | 6,216 |
| 44 | General Methods for Monitoring Convergence of Iterative Simulations Stephen P. Brooks, Andrew Gelman · Journal of Computational and Graphical Statistics | Dec 1998 | 6,193 |
| 45 | Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies Jens Hainmueller · Political Analysis | 16 Oct 2011 | 5,916 |
| 46 | Marginal Structural Models and Causal Inference in Epidemiology James M. Robins, Miguel Ángel Hernán, Babette Brumback · Epidemiology | Sep 2000 | 5,692 |
| 47 | Matching Methods for Causal Inference: A Review and a Look Forward Elizabeth A. Stuart · Statistical Science | Feb 2010 | 5,522 |
| 48 | Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations Håvard Rue, Sara Martino, Nicolas Chopin · Journal of the Royal Statistical Society Series B (Statistical Methodology) | Apr 2009 | 5,508 |
| 49 | Estimating dynamic treatment effects in event studies with heterogeneous treatment effects Liyang P. Sun, Sarah Abraham · Journal of Econometrics | 16 Dec 2020 | 5,500 |
| 50 | WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility David J. Lunn, Andrew C. Thomas, Nicky Best et al. · Statistics and Computing | Oct 2000 | 5,419 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.