A historical overview of textbook presentations of statistical science von Agresti, Alan

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An introduction to categorical data analysis von Agresti, Alan

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Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures von Agresti, Alan, Caffo, Brian

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Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions von Agresti, Alan, Coull, Brent A.

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A Survey of Exact Inference for Contingency Tables von Agresti, Alan

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Frequentist Performance of Bayesian Confidence Intervals for Comparing Proportions in 2 × 2 Contingency Tables von Agresti, Alan, Min, Yongyi

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Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures von Agresti, Alan, Caffo, Brian

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Approximate is Better than "Exact" for Interval Estimation of Binomial Proportions von Agresti, Alan, Coull, Brent A.

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Summarizing the predictive power of a generalized linear model von Zheng, Beiyao, Agresti, Alan

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Modeling and inference for an ordinal effect size measure von Ryu, Euijung, Agresti, Alan

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Simultaneous Confidence Intervals for Comparing Binomial Parameters von Agresti, Alan, Bini, Matilde, Bertaccini, Bruno, Ryu, Euijung

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Ordinal Probability Effect Measures for Group Comparisons in Multinomial Cumulative Link Models von Agresti, Alan, Kateri, Maria

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Simple ways to interpret effects in modeling ordinal categorical data von Agresti, Alan, Tarantola, Claudia

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The analysis of ordered categorical data: An overview and a survey of recent developments von Liu, Ivy, Agresti, Alan

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Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies von Agresti, Alan, Caffo, Brian, Ohman-Strickland, Pamela

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Bayesian inference for categorical data analysis von Agresti, Alan, Hitchcock, David B.

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GEE for Multinomial Responses Using a Local Odds Ratios Parameterization von Touloumis, Anestis, Agresti, Alan, Kateri, Maria

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The class of CUB models: statistical foundations, inferential issues and empirical evidence von Agresti, Alan, Kateri, Maria

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Quasi-Symmetric Graphical Log-Linear Models von GOTTARD, ANNA, MARCHETTI, GIOVANNI MARIA, AGRESTI, ALAN

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Categorical regularization: Discussion of article by Tutz and Gertheiss von Agresti, Alan

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