J. McKean

发表

Robust Nonparametric Statistical Methods

T. Hettmansperger, J. McKean, 1998 .

Regression depth. Commentaries. Rejoinder

Regina Y. Liu, David J. Olive, D. Ruppert, 1999 .

Design Specification Issues in Time-Series Intervention Models

J. McKean, B. Huitema, 2000 .

The Geometry of Robust Procedures in Linear Models

J. McKean, R. Schrader, 1980 .

Multivariate L-estimation

Jean Meloche, Ricardo Fraiman, Alfonso Gordaliza, 1999 .

Traditional and Rank-Based Tests for Ordered Alternatives in a Cluster Correlated Model

J. McKean, B. Huitema, Yuanyuan Shao, 2020, Psychometrika.

A comparison of methods for studentizing the sample median

Joseph W. McKean, Ronald Schrader, J. McKean, 1984 .

A novel application of propensity score matching to estimate Alcoholics Anonymous' effect on drinking outcomes.

J Scott Tonigan, Joseph McKean, Stephen Magura, 2013, Drug and alcohol dependence.

Autocorrelation Effects on Least-Squares Intervention Analysis of Short Time Series

Joseph W. McKean, Bradley E. Huitema, J. McKean, 1999 .

Robust Nonparametric Methods

S. Sheather, T. Hettmansperger, J. McKean, 2000 .

Rank-based methods for multivariate linear models

Joseph W. McKean, J. McKean, James B. Davis, 1993 .

A Geometric Interpretation of Inferences Based on Ranks in the Linear Model

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 1983 .

Tests of hypotheses based on ranks in the general linear model

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 1976 .

GR-estimates for an autoregressive time series

Joseph W. McKean, Joshua D. Naranjo, J. McKean, 2001 .

7 Rank-based analyses of linear models

S. Sheather, T. Hettmansperger, J. McKean, 1997 .

Coefficients of determination for least absolute deviation analysis

Joseph W. McKean, J. McKean, G. L. Sievers, 1987 .

An Estimator of the Scale Parameter for the Rank Analysis of Linear Models under General Score Functions

Hira L. Koul, Joseph W. McKean, H. Koul, 1987 .

Variogram Fitting Based on the Wilcoxon Norm

J. McKean, Hazem Al-Mofleh, John Daniels, 2016 .

Review of Rank-Based Procedures for Multicenter Clinical Trials

J. McKean, John D. Kloke, M. Rashid, 2013, Journal of biopharmaceutical statistics.

Rank‐based estimate of four‐parameter logistic model

K. Crimin, J. McKean, T. Vidmar, 2012, Pharmaceutical statistics.

The Runs Test for Autocorrelated Errors: Unacceptable Properties

J. McKean, B. Huitema, Jinsheng Zhao, 1996 .

Rank regression with estimated scores

Joseph W. McKean, Joshua D. Naranjo, J. McKean, 1997 .

Time-Series Intervention Analysis Using ITSACORR: Fatal Flaws

J. McKean, Sean Laraway, B. Huitema, 2007 .

Tests of Hypotheses of Logistic Regression

J. McKean, M. Brunden, T. Vidmar, 2019, Drug Interaction and Lethality Analysis.

A Guide to the Application of Logistic Regression in Drug Combination Studies

J. McKean, M. Brunden, T. Vidmar, 2019, Drug Interaction and Lethality Analysis.

Small Sample Properties of the Spearman Autocorrelation Estimator

J. McKean, B. Huitema, 1993 .

Drug Interaction and Lethality Analysis

J. McKean, M. Brunden, T. Vidmar, 1988 .

Least Squares and Robust Rank-Based Double Bootstrap Analyses for Time-Series Intervention Designs.

J. McKean, B. Huitema, Shaofeng Zhang, 2022, Evaluation & the health professions.

Using sliced mean variance–covariance inverse regression for classification and dimension reduction

S. Sheather, J. McKean, C. Lindsey, 2013, Computational Statistics.

Partial Residual Plots Based on Robust Fits

Simon J. Sheather, Joseph W. McKean, S. Sheather, 2000, Technometrics.

Robust Diagnostics for Rank-Based Inference

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 1988 .

A robust analysis of the general linear model based on one step R-estimates

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 1978 .

A Robust Alternative Based on Ranks to Least Squares in Analyzing Linear Models

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 1977 .

Robust Analysis of Linear Models

Joseph W. McKean, J. McKean, 2004 .

Diagnostic procedures

S. Sheather, J. McKean, 2009 .

THE USE AND INTERPRETATION OF ROBUST ANALYSIS OF VARIANCE

Joseph W. McKean, Ronald Schrader, J. McKean, 1982 .

Statistical inference based on ranks

Thomas P. Hettmansperger, Albert D. Palachek, T. Hettmansperger, 1985 .

Robust and High-Breakdown Fits of Polynomial Models

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 1994 .

A Monte Carlo study of robust and least squares response surface methods

Joseph W. McKean, Thomas J. Vidmar, J. McKean, 1996 .

On testing for significant chance in cxc tables

T. Hettmansperger, J. McKean, 1973 .

Using sliced mean variance–covariance inverse regression for classification and dimension reduction

Charles Lindsey, Simon J. Sheather, Joseph W. McKean, 2014, Comput. Stat..

A comparison of confidence intervals from R-estimators in regression

W. R. Schucany, S. Sheather, J. McKean, 1995 .

The Use and Interpretation of Residuals Based on Robust Estimation

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 1993 .

Intimate Partner Violence Associated with Postpartum Depression, Regardless of Socioeconomic Status

Angela M. Moe, C. Kothari, J. Wiley, 2016, Maternal and Child Health Journal.

High-Breakdown Rank Regression

Simon J. Sheather, Joseph W. McKean, Joshua D. Naranjo, 1999 .

An efficient and high breakdown procedure for model criticism

Joshua D. Naranjo, S. Sheather, J. McKean, 1996 .

The use and interpretation of rank-based residuals

Joshua D. Naranjo, S. Sheather, T. Hettmansperger, 1994 .

Regression Diagnostics for Rank-Based Methods

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 1990 .

Rfit: Rank-based Estimation for Linear Models

Joseph W. McKean, John Kloke, J. McKean, 2012, R J..

R Estimates and Associated Inferences for Mixed Models With Covariates in a Multicenter Clinical Trial

Joseph W. McKean, John Kloke, J. McKean, 2012 .

Autocorrelation estimation and inference with small samples.

Joseph W. McKean, Bradley E. Huitema, J. McKean, 1991 .

On the Consistency of a Class of Nonlinear Regression Estimators

J. McKean, A. Abebe, H. Bindele, 2012 .

On theConsistencyof aClassofNonlinear Regression Estimators

J. McKean, A. Abebe, H. Bindele, 2012 .

Computational rank‐based statistics

Joseph W. McKean, John Kloke, J. McKean, 2009 .

A double bootstrap method to analyze linear models with autoregressive error terms.

J. McKean, B. Huitema, S. D. McKnight, 2000, Psychological methods.

Nonparametric Statistical Methods Using R

Joseph W. McKean, John Kloke, J. McKean, 2014 .

On Multivariate Rank and Generalized Rank Regression

J. McKean, Majeda Salman, 2013 .

Rank-Based Estimation and Associated Inferences for Linear Models With Cluster Correlated Errors

Joseph W. McKean, John Kloke, J. McKean, 2009 .

Robust Nonparametric Statistical Methods, Second Edition

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 2010 .

A Simple and Powerful Test for Autocorrelated Errors in OLS Intervention Models

J. McKean, B. Huitema, J W McKean, 2000, Psychological reports.

Irrelevant autocorrelation in least-squares intervention models.

Joseph W. McKean, Bradley E. Huitema, J. McKean, 1998 .

Testing symmetry of the errors of a linear model

S. Sheather, T. Hettmansperger, J. McKean, 2003 .

A Monte Carlo study of traditional and rank-based picked-points analyses

Kuanwong Watcharotone, Joseph W. McKean, Bradley E. Huitema, 2015, Commun. Stat. Simul. Comput..

Iterated reweighted rank-based estimates for GEE models

Joseph W. McKean, Asheber Abebe, John Kloke, 2016 .

Rank-Based Analysis of Linear Models and Beyond: A Review

T. Hettmansperger, J. McKean, 2016 .

Small Sample Properties of Robust Analyses of Linear Models Based on R-Estimates: A Survey

S. Sheather, J. McKean, 1991 .

A Comparison of Two Rank-Based Methods for the Analysis of Linear Models

J. McKean, T. Vidmar, 1994 .

Simple Robust Tests for Autocorrelated Errors in Time Series Design Intervention Models

J. McKean, O. Awosoga, B. Huitema, 2014 .

Identifying Autocorrelation Generated by Various Error Processes in Interrupted Time-Series Regression Designs

Joseph W. McKean, Bradley E. Huitema, J. McKean, 2007 .

Diagnostics to detect differences in Robust fits of linear models

Simon J. Sheather, Joseph W. McKean, Joshua D. Naranjo, 1996 .

Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”

Simon J. Sheather, Joseph W. McKean, S. Sheather, 2018, Stat. Methods Appl..

Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”

S. Sheather, J. McKean, 2018, Statistical Methods & Applications.

Weighted Wilcoxon Estimators in Nonlinear Regression

J. McKean, A. Abebe, 2013 .

Rank-Based Analysis of Linear Models Using R

Joseph W. McKean, Jeff Terpstra, J. McKean, 2005 .

Theory & Methods: Weighted Wilcoxon Estimates for Autoregression

Joseph W. McKean, Joshua D. Naranjo, J. McKean, 2001 .

ANOVA and ANCOVA

Joseph W. McKean, John Kloke, J. McKean, 2014, SAGE Research Methods Foundations.

Studentized Autoregressive Time Series Residuals

Joseph W. McKean, Kirk Anderson, Jeffrey T. Terpstra, 2003, Comput. Stat..

Lack of statistical rigor in composite materials experimentation and lessons learned from the science of medicine

John A. Kapenga, Peter A. Gustafson, Joseph W. McKean, 2014 .

ROBUST ESTIMATION OF REDUCED RANK MODELS TO LARGE SPATIAL DATASETS

J. McKean, C. Jelsema, 2020 .

Adjusting for Regression Effect in Uncontrolled Studies

Joshua D. Naranjo, J. McKean, 2001, Biometrics.

Influence functions for rank-based procedures in the linear model

Joshua D. Naranjo, L. D. Witt, J. McKean, 1995 .

Efficient and adaptive rank-based fits for linear models with skew-normal errors

J. McKean, John D. Kloke, 2014 .

Rank-Based Analysis of the Heteroscedastic Linear Model

Joseph W. McKean, J. McKean, S. Dixon, 1996 .

Robust measures of association in the correlation model

Joshua D. Naranjo, L. D. Witt, J. McKean, 1994 .

Robust procedures for drug combination problems with quantal responses

Thomas P. Hettmansperger, Joseph W. McKean, Thomas J. Vidmar, 1992 .

A comparison of testing and confidence interval methods for the median

Simon J. Sheather, Joseph W. McKean, S. Sheather, 1987 .

Rank-Based Procedures for Linear Models: Applications to Pharmaceutical Science Data

Joseph V. Haas, Asheber Abebe, Kimberly Crimin, 2001 .

An improved portmanteau test for autocorrelated errors in interrupted time-series regression models

J. McKean, B. Huitema, 2007, Behavior research methods.

Rank-Based Estimation for Arnold-Transformed Data

J. McKean, John D. Kloke, 2011 .

Getting Started with R

Joseph W. McKean, John Kloke, John Kloke, 2014 .

A Robust Method for the Analysis of Experiments with Ordered Treatment Levels

Joshua D. Naranjo, J. McKean, B. Huitema, 2001, Psychological reports.

Algorithm 516: An Algorithm for Obtaining Confidence Intervals and Point Estimates Based on Ranks in the Two-Sample Location Problem [G1]

T. A. Ryan, Thomas A. Ryan, J. W. McKean, 1977, TOMS.

Robust Nonparametric Statistical Methods

T. Hettmansperger, J. McKean, 1998 .

Sliced mean variance-covariance inverse regression

Simon J. Sheather, Joseph W. McKean, Kimberly Crimin, 2008, Comput. Stat. Data Anal..

On the robust rank analysis of linear models with nonsymmetric error distributions

Joseph W. McKean, J. McKean, Gerald L. Sievers, 1986 .