Regression Models for Categorical and Count Data

Dr Peter Martin is Lecturer in Applied Statistics at University College London. He has taught statistics to students of sociology, psychology, epidemiology, and other disciplines since 2003. One of the joys of being a statistician is that it opens doors to research collaborations with many people in diverse fields. Dr Martin has been involved in investigations in life course research, survey methodology, and the analysis of racism. In recent years his research has focused on health inequalities, psychotherapy, and the evaluation of healthcare services. He has a particular interest in topics around mental health.

An accessible but rigorous introduction to data analysis that makes good use of real-world examples. The focus in this book on categorical and count data makes it particularly appropriate for social scientists who are often aiming to understand the predictors of social phenomena that cannot be measured numerically.

• IntroductionLogistic regressionOrdinal logistic regression: the generalised ordered logit modelMultinomial logistic regressionRegression models for count dataThe practice of modelling