By Alan Agresti

ISBN-10: 0471226181

ISBN-13: 9780471226185

**Praise for the 1st Edition**

"This is a wonderful textual content from which to coach specific info research, at quite a few degrees. . . [t]his ebook should be very hugely recommended."

—*Short e-book Reviews*

"Of nice curiosity to strength readers is the range of fields which are represented within the examples: overall healthiness care, monetary, govt, product advertising and marketing, and activities, to call a few."

—*Journal of caliber Technology*

"Alan Agresti has written one other really good account of the research of express data."

—The Statistician

The use of statistical equipment for specific info is ever expanding in today's international. *An advent to express information research, moment Edition* offers an utilized creation to an important tools for examining express facts. This re-creation summarizes tools that experience lengthy performed a widespread position in information research, similar to chi-squared assessments, and likewise areas specific emphasis on logistic regression and different modeling concepts for univariate and correlated multivariate specific responses.

This moment variation features:* new chapters at the equipment for clustered info, with an emphasis on generalized estimating equations (GEE) and random results types* A unified point of view in accordance with generalized linear versions* An emphasis on logistic regression modeling* An appendix that demonstrates using SAS(r) for all tools* An interesting historic standpoint at the improvement of the tools* really expert tools for ordinal information, small samples, multicategory info, and coupled pairs* greater than a hundred analyses of actual facts units and approximately three hundred exercises

Written in an utilized, nontechnical variety, the booklet illustrates equipment utilizing a large choice of genuine facts, together with clinical medical trials, drug use by way of youngsters, basketball capturing, horseshoe crab mating, environmental reviews, correlates of happiness, and lots more and plenty more.

*An creation to express facts research, moment Edition* is a useful instrument for social, behavioral, and biomedical scientists, in addition to researchers in public well-being, advertising, schooling, organic and agricultural sciences, and business quality controls.

**Read Online or Download An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) PDF**

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**Get An Introduction to Categorical Data Analysis (Wiley Series PDF**

Compliment for the 1st Edition

"This is a wonderful textual content from which to coach express facts research, at quite a few degrees. . . [t]his e-book could be very hugely urged. "

—Short booklet Reviews

"Of nice curiosity to capability readers is the range of fields which are represented within the examples: wellbeing and fitness care, monetary, executive, product advertising, and activities, to call a couple of. "

—Journal of caliber Technology

"Alan Agresti has written one other remarkable account of the research of express facts. "

—The Statistician

The use of statistical tools for express information is ever expanding in today's international. An advent to express info research, moment version presents an utilized advent to crucial equipment for interpreting specific information. This new version summarizes tools that experience lengthy performed a popular function in information research, resembling chi-squared assessments, and in addition areas specific emphasis on logistic regression and different modeling thoughts for univariate and correlated multivariate express responses.

This moment version features:* new chapters at the equipment for clustered info, with an emphasis on generalized estimating equations (GEE) and random results versions* A unified viewpoint in accordance with generalized linear types* An emphasis on logistic regression modeling* An appendix that demonstrates using SAS(r) for all tools* An wonderful historic point of view at the improvement of the tools* really expert tools for ordinal facts, small samples, multicategory information, and paired pairs* greater than a hundred analyses of actual info units and approximately three hundred exercises

Written in an utilized, nontechnical sort, the booklet illustrates tools utilizing a wide selection of genuine information, together with scientific scientific trials, drug use by way of childrens, basketball capturing, horseshoe crab mating, environmental critiques, correlates of happiness, and lots more and plenty more.

An advent to specific facts research, moment variation is a useful software for social, behavioral, and biomedical scientists, in addition to researchers in public future health, advertising and marketing, schooling, organic and agricultural sciences, and business quality controls.

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**Additional resources for An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)**

**Sample text**

0171. 0094. 0077. 011). Since this interval contains only positive values, we conclude that π1 − π2 > 0, that is, π1 > π2 . For males, taking aspirin appears to result in a diminished risk of heart attack. 3 Relative Risk A difference between two proportions of a certain ﬁxed size usually is more important when both proportions are near 0 or 1 than when they are near the middle of the range. Consider a comparison of two drugs on the proportion of subjects who had adverse reactions when using the drug.

0 times as high in row 2 as in row 1. When the order of the rows is reversed or the order of the columns is reversed, the new value of θ is the inverse of the original value. 25 for the odds ratio is merely a matter of how we label the rows and columns. The odds ratio does not change value when the table orientation reverses so that the rows become the columns and the columns become the rows. The same value occurs when we treat the columns as the response variable and the rows as the explanatory variable, or the rows as the response variable and the columns as the explanatory variable.

1 is a 2 × 2 table. 1 Joint, Marginal, and Conditional Probabilities Probabilities for contingency tables can be of three types – joint, marginal, or conditional. Suppose ﬁrst that a randomly chosen subject from the population of interest is classiﬁed on X and Y . Let πij = P (X = i, Y = j ) denote the probability that (X, Y ) falls in the cell in row i and column j . The probabilities {πij } form the joint distribution of X and Y . They satisfy i,j πij = 1. The marginal distributions are the row and column totals of the joint probabilities.

### An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Alan Agresti

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