Most cited papers in Statistical Methods and Inference
What are the most cited papers in Statistical Methods and Inference?
The most cited paper in Statistical Methods and Inference is "Regression Shrinkage and Selection Via the Lasso" (Robert John Tibshirani, 1996), with 53,131 citations. Next come "Maximum Likelihood from Incomplete Data Via the EM Algorithm" (50,034) and "Nonparametric Estimation from Incomplete Observations" (45,535).
Showing 50 of 96 papers. Every paper with more than 3,358 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Regression Shrinkage and Selection Via the Lasso Robert John Tibshirani · Journal of the Royal Statistical Society Series B (Statistical Methodology) | 1996 | 53,131 |
| 2 | Maximum Likelihood from Incomplete Data Via the EM Algorithm A. P. Dempster, N. M. Laird, Donald B. Rubin · Journal of the Royal Statistical Society Series B (Statistical Methodology) | Sep 1977 | 50,034 |
| 3 | Nonparametric Estimation from Incomplete Observations Edward L. Kaplan, Paul Meier · Springer series in statistics | 1992 | 45,535 |
| 4 | The central role of the propensity score in observational studies for causal effects Paul R. Rosenbaum, Donald B. Rubin · Biometrika | 1983 | 31,609 |
| 5 | Pattern Recognition and Machine Learning Nasser M. Nasrabadi · Journal of Electronic Imaging | 2007 | 22,033 |
| 6 | Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics Yoshinobu Kanda · Bone Marrow Transplantation | 3 Dec 2012 | 19,316 |
| 7 | Longitudinal data analysis using generalized linear models Kung‐Yee Liang, Scott L. Zeger · Biometrika | 1986 | 18,362 |
| 8 | Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images Stuart Geman, Donald Geman · IEEE Transactions on Pattern Analysis and Machine Intelligence | Nov 1984 | 18,093 |
| 9 | Bootstrap Methods: Another Look at the Jackknife B. Efron · The Annals of Statistics | 1979 | 17,826 |
| 10 | Nearest neighbor pattern classification Thomas M. Cover, Peter E. Hart · IEEE Transactions on Information Theory | 1967 | 16,834 |
| 11 | Regularization Paths for Generalized Linear Models via Coordinate Descent. Jerome H. Friedman, Trevor Hastie, Rob Tibshirani · PubMed | 2010 | 14,024 |
| 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 | 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 |
| 17 | Missing data: Our view of the state of the art. Joseph L. Schafer, J. A. Graham · Psychological Methods | 2002 | 11,073 |
| 18 | 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 |
| 19 | Inference and missing data Donald B. Rubin · Biometrika | 1976 | 9,875 |
| 20 | A Modified Poisson Regression Approach to Prospective Studies with Binary Data Guangyong Zou · American Journal of Epidemiology | 19 Mar 2004 | 9,806 |
| 21 | Least angle regression Bradley Efron, Trevor Hastie, Iain M. Johnstone et al. · The Annals of Statistics | Apr 2004 | 9,594 |
| 22 | Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties Jianqing Fan, Runze Li · Journal of the American Statistical Association | Dec 2001 | 9,322 |
| 23 | 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 |
| 24 | 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 |
| 25 | Difference-in-differences with variation in treatment timing Andrew Goodman-Bacon · Journal of Econometrics | 12 Jun 2021 | 7,977 |
| 26 | Ideal spatial adaptation by wavelet shrinkage David L. Donoho, Iain M. Johnstone · Biometrika | Sep 1994 | 7,913 |
| 27 | 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 |
| 28 | Model Selection and Estimation in Regression with Grouped Variables Ming Yuan, Yi Lin · Journal of the Royal Statistical Society Series B (Statistical Methodology) | 21 Dec 2005 | 7,568 |
| 29 | 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 |
| 30 | Robust Estimation of a Location Parameter Peter J. Huber · The Annals of Mathematical Statistics | Mar 1964 | 7,272 |
| 31 | Stochastic gradient boosting Jerome H. Friedman · Computational Statistics & Data Analysis | Feb 2002 | 7,206 |
| 32 | Bayesian Model Selection in Social Research Adrian E. Raftery · Sociological Methodology | 1995 | 6,994 |
| 33 | Sparse inverse covariance estimation with the graphical lasso Jerome H. Friedman, Trevor Hastie, Robert Tibshirani · Biostatistics | 12 Dec 2007 | 6,735 |
| 34 | Regression and time series model selection in small samples Clifford M. Hurvich, Chih‐Ling Tsai · Biometrika | 1989 | 6,492 |
| 35 | 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 |
| 36 | MissForest—non-parametric missing value imputation for mixed-type data Daniel Johannes Stekhoven, Peter Bühlmann · Bioinformatics | 28 Oct 2011 | 6,389 |
| 37 | SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING Marco Caliendo, Sabine Kopeinig · Journal of Economic Surveys | 31 Jan 2008 | 6,303 |
| 38 | 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 |
| 39 | Missing Data Analysis: Making It Work in the Real World J. A. Graham · Annual Review of Psychology | 24 Jul 2008 | 6,220 |
| 40 | Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses Quang Vuong · Econometrica | Mar 1989 | 6,074 |
| 41 | Reversible jump Markov chain Monte Carlo computation and Bayesian model determination Peter J. Green · Biometrika | 1995 | 5,963 |
| 42 | 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 |
| 43 | A Direct Approach to False Discovery Rates John D. Storey · Journal of the Royal Statistical Society Series B (Statistical Methodology) | Aug 2002 | 5,849 |
| 44 | Proportional hazards tests and diagnostics based on weighted residuals Patricia M. Grambsch, Terry M. Therneau · Biometrika | 1994 | 5,781 |
| 45 | Marginal Structural Models and Causal Inference in Epidemiology James M. Robins, Miguel Ángel Hernán, Babette Brumback · Epidemiology | Sep 2000 | 5,692 |
| 46 | Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari, Andrew Gelman, Jonah Gabry · Statistics and Computing | 30 Aug 2016 | 5,670 |
| 47 | Matching Methods for Causal Inference: A Review and a Look Forward Elizabeth A. Stuart · Statistical Science | Feb 2010 | 5,522 |
| 48 | Estimating dynamic treatment effects in event studies with heterogeneous treatment effects Liyang P. Sun, Sarah Abraham · Journal of Econometrics | 16 Dec 2020 | 5,500 |
| 49 | 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 |
| 50 | Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group Ralph B. D’Agostino · Statistics in Medicine | 15 Oct 1998 | 5,398 |
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.