v. 1. Continuous responses -- v. 2. Categorical responses, counts, and survival. "Multilevel and Longitudinal Modeling Using Stata, Third Edition, discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients nested in hospitals, or employees nested in firms. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent. Multilevel and longitudinal modeling can exploit the richness of such data and can disentangle processes operating at different levels. Assuming some knowledge of linear regression, this bestseller explains models and their assumptions, applies methods to real data using Stat, and shows how to interpret the results. Across volume, the 16 chapters and 144 exercises are based on the 110 datasets that span a wide range of disciplines, making the book suitable for courses in the medical, social, and behavioral sciences, and in applied statistics. Th[e] first volume is dedicated to models for continuous responses and is a prerequisite for the second volume on models for other response types. It contains two new chapters on longitudinal data, several new exercises and datasets, and has been thoroughly revised and updated for Stata 12. Following volume I on models for continuous responses, th[e] second volume covers models for all other important response types: binary, ordinal, and nominal (discrete choice) responses; counts; and discrete-time and continuous-time survival (durations). It contains three new chapters, several new exercises and datasets, and has been thoroughly revised and updated for Stata 12"--Covers.