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Introduction to Categorical Data Analysis

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356 SUBJECT INDEX<br />

Residuals<br />

binomial GLM, 148<br />

deviance, 87<br />

GLM, 86–87<br />

independence, 38–39, 261<br />

Pearson, 86–87, 148<br />

standardized, 38–39, 148, 213–214,<br />

257, 261<br />

Response variable, 2<br />

Retrospective study, 33, 105<br />

ROC curve, 143–144<br />

Sample size determination, 160–162<br />

Sampling zero, 154<br />

SAS, 332–342<br />

CATMOD, 338<br />

FREQ, 333–334, 338<br />

GENMOD, 334–341<br />

LOGISTIC, 335–337<br />

NLMIXED, 341–342<br />

Saturated model<br />

generalized linear model, 85<br />

logistic regression, 145–146, 157, 167<br />

loglinear model, 206–208<br />

Scores, choice of, 43–45, 119, 195<br />

Score confidence interval, 10, 12, 19, 20<br />

Score test, 12, 19, 36, 89, 115, 284<br />

Sensitivity, 23–24, 55, 142<br />

Significance, statistical versus practical,<br />

61, 140, 218–219<br />

Simpson’s paradox, 51–53, 63, 150, 235, 326<br />

Small-area estimation, 302–304<br />

Small samples:<br />

binomial inference, 13–16<br />

conservative inference, 14, 47–48, 160<br />

exact inference, 45–48, 63, 157–160<br />

infinite parameter estimates, 89,<br />

152–156, 160<br />

X 2 and G 2 , 40, 156–157<br />

zero counts, 154, 159<br />

Smoothing, 78–79, 101–102<br />

Sparse tables, 152–160<br />

Spearman’s rho, 44<br />

Specificity, 23–24, 55, 142<br />

SPlus (software), see<br />

www.stat.ufl.edu/∼aa/cda/<br />

software.html<br />

SPSS, see<br />

http://www.stat.ufl.edu/∼aa/cda/<br />

software.html<br />

Square tables, 252–264<br />

Standardized coefficients, 121<br />

Standardized residuals, 38, 87, 148,<br />

213–214, 336<br />

binomial GLMs, 148<br />

GLMs, 87<br />

for independence, 38–39, 261<br />

and Pearson statistic, 214<br />

for Poisson GLMs, 213–214<br />

for symmetry, 257<br />

Stata (software), see<br />

http://www.stat.ufl.edu/∼aa/cda/<br />

software.html<br />

StatXact, 48, 157, 159, 160, 328, 332<br />

Stepwise model-building, 139–142, 226<br />

Subject-specific effect, 249, 279<br />

Symmetry, 256–258, 274<br />

Systematic component (GLM), 66<br />

Three-fac<strong>to</strong>r interaction, 215, 218<br />

Three-way tables, 49–54, 110–115, 208–215<br />

Tolerance distribution, 73<br />

Transitional model, 288–290<br />

Trend test, 41–45, 195<br />

Uniform association model, 230<br />

Variance component, 298, 309, 313, 317–318<br />

Wald confidence interval, 12, 19, 26<br />

Wald test, 11–13, 19, 84, 89, 107, 284<br />

Weighted least squares, 88<br />

Wilcoxon test, 45<br />

Working correlation, 281<br />

X 2 statistic, 35, 145. See also Pearson<br />

chi-squared statistic<br />

Yule, G. Udny, 325–326<br />

Zero cell count, 31, 152–156, 159

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