Categorical Data Analysis Using SAS, Third Edition by Maura E. Stokes, Charles S. Davis, Gary G. Koch

By Maura E. Stokes, Charles S. Davis, Gary G. Koch

Statisticians and researchers will locate Categorical facts research utilizing SAS, 3rd Edition, via Maura Stokes, Charles Davis, and Gary Koch, to be an invaluable dialogue of express facts research concepts in addition to a useful reduction in using those tools with SAS. sensible examples from a vast variety of purposes illustrate using the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and CATMOD techniques in a number of analyses. subject matters mentioned contain assessing organization in contingency tables and units of tables, logistic regression and conditional logistic regression, weighted least squares modeling, repeated measurements analyses, loglinear versions, generalized estimating equations, and bioassay research.

The 3rd variation updates using SAS/STAT software program to SAS/STAT 12.1 and comprises ODS pics. Many extra SAS statements and ideas are hired, and graphs equivalent to impact plots, odds ratio plots, regression diagnostic plots, and contract plots are mentioned. the cloth has additionally been revised and reorganized to mirror the evolution of express information research recommendations. extra suggestions comprise such issues as certain Poisson regression, partial proportional odds versions, Newcombe self belief durations, occurrence density ratios, and so on.

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Cary, North Carolina, USA. ALL RIGHTS RESERVED. com/bookstore. Chapter 2: The 2 42 2 Table cannot be addressed with the chi-square tests of association of previous sections, since the relevant counts are marginal totals rather than cell counts. The question is whether p1 D n1C n p2 D nC1 n and are the same. n12 ; n21 / to address this situation, and so only the off-diagonal elements are important in determining the test statistic. n12 C n21 / and is approximately chi-square with one degree of freedom.

For this reason, QMH is often called an average partial association statistic. QMH may fail to detect association when the differences are in opposite directions and are of similar magnitude. QMH as formulated here is directed at the nh11 cell; however, it is invariant to whatever cell is chosen. For an overview of Mantel-Haenszel methods, see to Landis et al. (1998). nhC1 ; nh1C /. The criterion specifies that the across-strata sum of expected values for a particular cell has a difference of at least 5 from both the minimum possible sum and the maximum possible sum of the observed values.

Com/bookstore. 1 Introduction . . . . . . . . . . . . Mantel-Haenszel Test . . . . . . . . . 1 Respiratory Data Example . . . . . . 2 Health Policy Data . . . . . . . . 3 Soft Drink Example . . . . . . . . Measures of Association . . . . . . . . . 1 Homogeneity of Odds Ratios . . . . . 2 Coronary Artery Disease Data Example . . Exact Confidence Intervals for the Common Odds Ratio . . . . . . . . . . . . . . . . . . . . . .

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