SAS/STAT 9.2: LOGISTIC PROCEDURE GUIDE

By ELIZABETH GONZALEZ

CONTENTS CHAPTER 1 INTRODUCTION WHAT THIS BOOK IS ABOUT WHAT THIS BOOK IS NOT ABOUT WHAT YOU NEED TO KNOW COMPUTING REFERENCES CHAPTER 2 BINARY LOGISTIC REGRESSION WITH PROC LOGISTIC: BASICS INTRODUCTION DICHOTOMOUS DEPENDENT VARIABLES: EXAMPLE PROBLEMS WITH ORDINARY LINEAR REGRESSION ODDS AND ODDS RATIOS THE LOGISTIC REGRESSION MODEL ESTIMATION OF THE LOGISTIC MODEL: GENERAL PRINCIPLES MAXIMUM LIKELIHOOD ESTIMATION WITH PROC LOGISTIC INTERPRETING COEFFICIENTS CLASS VARIABLES MULTIPLICATIVE TERMS IN THE MODEL STATEMENT CHAPTER 3 BINARY LOGISTIC REGRESSION: DETAILS AND OPTIONS CONFIDENCE INTERVALS DETAILS OF MAXIMUM LIKELIHOOD ESTIMATION CONVERGENCE PROBLEMS MULTICOLLINEARITY GOODNESS-OF-FIT STATISTICS STATISTICS MEASURING PREDICTIVE POWER ROC CURVES PREDICTED VALUES, RESIDUALS, AND INFLUENCE STATISTICS LATENT VARIABLES AND STANDARDIZED COEFFICIENTS PROBIT AND COMPLEMENTARY LOG-LOG MODELS UNOBSERVED HETEROGENEITY SAMPLING ON THE DEPENDENT VARIABLE PLOTTING EFFECTS OF PREDICTOR VARIABLES CHAPTER 4 LOGIT ANALYSIS OF CONTINGENCY TABLES A LOGIT MODEL FOR A 2 × 2 TABLE A THREE-WAY TABLE A FOUR-WAY TABLE A FOUR-WAY TABLE WITH ORDINAL EXPLANATORY VARIABLES OVERDISPERSION CHAPTER 5 MULTINOMIAL LOGIT ANALYSIS EXAMPLE A MODEL FOR THREE CATEGORIES ESTIMATION WITH PROC LOGISTIC ESTIMATION WITH A BINARY LOGIT PROCEDURE GENERAL FORM OF THE MODEL CONTINGENCY TABLE ANALYSIS PROBLEMS OF INTERPRETATION CHAPTER 6 LOGISTIC REGRESSION FOR ORDERED CATEGORIES CUMULATIVE LOGIT MODEL: EXAMPLE CUMULATIVE LOGIT MODEL: EXPLANATION CUMULATIVE LOGIT MODEL: PRACTICAL CONSIDERATIONS CUMULATIVE LOGIT MODEL: CONTINGENCY TABLES ADJACENT CATEGORIES MODEL CONTINUATION RATIO MODEL CHAPTER 7 DISCRETE CHOICE ANALYSIS CHOCOLATE EXAMPLE MODEL AND ESTIMATION TRAVEL EXAMPLE OTHER APPLICATIONS RANKED DATA MORE ADVANCED MODELS WITH PROC MDC CONTENTS CHAPTER 8 LOGIT ANALYSIS OF LONGITUDINAL AND OTHER CLUSTERED DATA LONGITUDINAL EXAMPLE ROBUST STANDARD ERRORS GEE ESTIMATION WITH PROC GENMOD MIXED MODELS WITH GLIMMIX FIXED-EFFECTS WITH CONDITIONAL LOGISTIC REGRESSION POSTDOCTORAL TRAINING EXAMPLE MATCHING COMPARISON OF METHODS A HYBRID METHOD CHAPTER 9 REGRESSION FOR COUNT DATA THE POISSON REGRESSION MODEL SCIENTIFIC PRODUCTIVITY EXAMPLE NEGATIVE BINOMIAL REGRESSION ADJUSTMENT FOR VARYING TIME SPANS ZERO-INFLATED MODELS CHAPTER 10 LOGLINEAR ANALYSIS OF CONTINGENCY TABLES A LOGLINEAR MODEL FOR A 2 × 2 TABLE LOGLINEAR MODELS FOR A FOUR-WAY TABLE FITTING THE ADJACENT CATEGORIES MODEL AS A LOGLINEAR MODEL LOGLINEAR MODELS FOR SQUARE, ORDERED TABLES MARGINAL TABLES THE PROBLEM OF ZEROS GENMOD VERSUS CATMOD SAS STAT 9 2 USER S GUIDE CHAPTER