• Publications
• Influence
Categorical Data Analysis.
• Computer Science
• 1991
• 4,703
• 759
An introduction to categorical data analysis
Two--Way Contingency Tables. Three--Way Contingency Tables. Generalized Linear Models. Logistic Regression. Loglinear Models for Contingency Tables. Building and Applying Logit and Loglinear Models.Expand
• 6,223
• 551
• PDF
Categorical Data Analysis
• Computer Science
• International Encyclopedia of Statistical Science
• 2011
We present an overview of many of the statistical methods commonly used for the analysis of categorical data, including log-linear models for count data, logistic regression models for binary outcomes, multinomial log models for nominal and ordinal outcomes, and Poisson regression for rates. Expand
• 3,227
• 318
• PDF
Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions
• Mathematics
• 1 May 1998
Abstract For interval estimation of a proportion, coverage probabilities tend to be too large for “exact” confidence intervals based on inverting the binomial test and too small for the intervalExpand
• 2,711
• 247
• PDF
Statistical Methods for the Social Sciences
• Mathematics
• 1979
1.Introduction 1.1 Introduction to statistical methodology 1.2 Descriptive statistics and inferential statistics 1.3 The role of computers in statistics 1.4 Chapter summary 2. Sampling andExpand
• 1,881
• 107
• PDF
A Survey of Exact Inference for Contingency Tables
The past decade has seen substantial research on exact infer- ence for contingency tables, both in terms of developing new analyses and developing efficient algorithms for computations. Coupled withExpand
• 1,060
• 77
• PDF
Categorical Data Analysis
• 6,363
• 62
Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures
• Mathematics
• 1 November 2000
Abstract The standard confidence intervals for proportions and their differences used in introductory statistics courses have poor performance, the actual coverage probability often being much lowerExpand
• 395
• 52
Simple capture-recapture models permitting unequal catchability and variable sampling effort.
• A. Agresti
• Mathematics, Medicine
• Biometrics
• 1 June 1994
We consider two capture-recapture models that imply that the logit of the probability of capture is an additive function of an animal catchability parameter and a parameter reflecting the samplingExpand
• 141
• 25
• PDF