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Designed to assist those working in health research, An Introduction to Stata for Health Researchers explains how to maximize the versatile Stata program for data management, statistical analysis, and graphics for research. The first nine chapters are devoted to becoming familiar with Stata and the essentials of effective data management. The text is also a valuable companion reference for more advanced users. It covers a host of useful applications for health researchers including the analysis of stratified data via epitab and regression models; linear, logistic, and Poisson regression; survival analysis including Cox regression, standardized rates, and correlation/ROC analysis of measurements.
This textbook looks specifically at Stata’s treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables.
For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications. Uses excerpts from the scholarly literature in these fields to introduce new concepts. Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation. Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis. Offers guidance about planning projects and organizing code for reproducibility Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics. New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition) includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.
A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.
This is the Using Stata text for Principles of Econometrics, 4th Edition. Principles of Econometrics is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields. The 4th Edition provides students with an understanding of why econometrics is necessary and a working knowledge of basic econometric tools. This text emphasizes motivation, understanding and implementation by introducing very simple economic models and asking economic questions that students can answer.
This handbook provides broad coverage of the languages indigenous to North America, with special focus on typologically interesting features and areal characteristics, surveys of current work, and topics of particular importance to communities. The volume is divided into two major parts: subfields of linguistics and family sketches. The subfields include those that are customarily addressed in discussions of North American languages (sounds and sound structure, words, sentences), as well as many that have received somewhat less attention until recently (tone, prosody, sociolinguistic variation, directives, information structure, discourse, meaning, language over space and time, conversation structure, evidentiality, pragmatics, verbal art, first and second language acquisition, archives, evolving notions of fieldwork). Family sketches cover major language families and isolates and highlight topics of special value to communities engaged in work on language maintenance, documentation, and revitalization.
Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: •interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. •thorough integration of teaching statistical theory with teaching data processing and analysis. •teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.
This volume is a collection of seventeen papers, on languages of all three indigenous Caucasian families as well as other languages spoken in the territory of the former Soviet Union. Several papers are concerned with diachronic questions, either within individual families, or at deeper time depths. Some authors utilize their field data to address problems of general linguistic interest, such as reflexivization. A number of papers look at the evidence for contact-induced change in multilingual areas. Some of the most exciting contributions to the collection represent significant advances in the reconstruction of the prehistory of such understudied language families as Northeast Caucasian, Tu...