| # | Title | Journal | Year | Citations |
|---|
| 1 | The ASA Statement on p-Values: Context, Process, and Purpose | American Statistician | 2016 | 4,176 |
| 2 | Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score | American Statistician | 1985 | 2,951 |
| 3 | Understanding the Metropolis-Hastings Algorithm | American Statistician | 1995 | 2,226 |
| 4 | An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression | American Statistician | 1992 | 2,180 |
| 5 | Rank Transformations as a Bridge Between Parametric and Nonparametric Statistics | American Statistician | 1981 | 2,044 |
| 6 | Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions | American Statistician | 1998 | 1,992 |
| 7 | Moving to a World Beyond “p < 0.05” | American Statistician | 2019 | 1,817 |
| 8 | Thirteen Ways to Look at the Correlation Coefficient | American Statistician | 1988 | 1,800 |
| 9 | A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation | American Statistician | 1983 | 1,794 |
| 10 | An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression | American Statistician | 1992 | 1,787 |
| 11 | Thirteen Ways to Look at the Correlation Coefficient | American Statistician | 1988 | 1,746 |
| 12 | Rank Transformations as a Bridge between Parametric and Nonparametric Statistics | American Statistician | 1981 | 1,622 |
| 13 | Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions | American Statistician | 1998 | 1,532 |
| 14 | The Abuse of Power | American Statistician | 2001 | 1,481 |
| 15 | Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score | American Statistician | 1985 | 1,455 |
| 16 | A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation | American Statistician | 1983 | 1,422 |
| 17 | Variations of Box Plots | American Statistician | 1978 | 1,415 |
| 18 | A Tutorial on MM Algorithms | American Statistician | 2004 | 1,257 |
| 19 | Explaining the Gibbs Sampler | American Statistician | 1992 | 1,190 |
| 20 | Explaining the Gibbs Sampler | American Statistician | 1992 | 1,154 |
| 21 | Forecasting at Scale | American Statistician | 2018 | 1,084 |
| 22 | A Suggestion for Using Powerful and Informative Tests of Normality | American Statistician | 1990 | 960 |
| 23 | Understanding the Metropolis-Hastings Algorithm | American Statistician | 1995 | 921 |
| 24 | LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Regression | American Statistician | 1981 | 882 |
| 25 | On Judging the Significance of Differences by Examining the Overlap Between Confidence Intervals | American Statistician | 2001 | 881 |
| 26 | Cautionary Note aboutR2 | American Statistician | 1985 | 865 |
| 27 | The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant | American Statistician | 2006 | 813 |
| 28 | Population Marginal Means in the Linear Model: An Alternative to Least Squares Means | American Statistician | 1980 | 773 |
| 29 | Some Practical Guidelines for Effective Sample Size Determination | American Statistician | 2001 | 751 |
| 30 | Hierarchical Partitioning | American Statistician | 1991 | 732 |
| 31 | Violin Plots: A Box Plot-Density Trace Synergism | American Statistician | 1998 | 712 |
| 32 | Variable Importance Assessment in Regression: Linear Regression versus Random Forest | American Statistician | 2009 | 711 |
| 33 | A Note on the Delta Method | American Statistician | 1992 | 708 |
| 34 | Graphs in Statistical Analysis | American Statistician | 1973 | 688 |
| 35 | A Lego System for Conditional Inference | American Statistician | 2006 | 644 |
| 36 | Calibration ofρValues for Testing Precise Null Hypotheses | American Statistician | 2001 | 639 |
| 37 | Variations of Box Plots | American Statistician | 1978 | 612 |
| 38 | Violin Plots: A Box Plot-Density Trace Synergism | American Statistician | 1998 | 608 |
| 39 | Much Ado About Nothing | American Statistician | 2007 | 606 |
| 40 | Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination | American Statistician | 2009 | 602 |
| 41 | The History of the Cluster Heat Map | American Statistician | 2009 | 594 |
| 42 | Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model | American Statistician | 2000 | 571 |
| 43 | Bayesian Statistics without Tears: A Sampling–Resampling Perspective | American Statistician | 1992 | 560 |
| 44 | Abandon Statistical Significance | American Statistician | 2019 | 555 |
| 45 | Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model | American Statistician | 2000 | 511 |
| 46 | Multiple Imputation in Practice | American Statistician | 2001 | 485 |
| 47 | Corrgrams | American Statistician | 2002 | 485 |
| 48 | Bootstrap Methods for Developing Predictive Models | American Statistician | 2004 | 481 |
| 49 | Ridge Regression in Practice | American Statistician | 1975 | 465 |
| 50 | Heterogeneity's Ruses: Some Surprising Effects of Selection on Population Dynamics | American Statistician | 1985 | 465 |
