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In: Surrey conferences on sociological theory and method 4
In: Wiley series in probability and statistics
"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contingency tables, logistic regression, loglinear models, models for multinomial (nominal and ordinal) responses, and methods for repeated measurement and other forms of clustered, correlated response data. Chapter headings remain essentially with the exception of a new one on Bayesian inference for parametric models. Other major changes include an expansion of clustered data, new research on analysis of data sets with robust variables, extensive discussions of ordinal data, more on interpretation, and additional exercises throughout the book. R and SAS are now showcased as the software of choice. An author web site with solutions, commentaries, software programs, and data sets is available"--
In: European data protection law review: EdpL, Band 3, Heft 1, S. 13-15
ISSN: 2364-284X
In: Studies in Empirical Economics
A number of advances have taken place in panel data analysis during the pastthree decades and it continues to be one of the most active areas of research. This volume contains 13 significant contributions focusing on modelling strategies, data issues, theoretical analysis and applications. Applied econometrics papers on the economics of labor, health, telecommunications, finance and macroeconomics are provided as well as a survey of recent theoretical developments in panal data analysis. Contributors include both well known scholars and younger researchers from Australia, Canada, Europe and the United States of America
In: Wiley online library
In: Wiley Series in probability and statistics
Longitudinal data analysis for biomedical and behavioral sciencesThis innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data
In: Chapman and Hall/CRC handbooks of modern statistical methods
In: Understanding Research Methods; Public Administration and Public Policy, S. 185-217
In: Evaluation and Program Planning, Band 4, Heft 2, S. 195-196
In: Pocket guides to social work research methods
This pocket guide provides an in-depth introduction to 29 of the most widely used data sets in social work and the social sciences. Readers will find information about each data set, how to locate and use the data, what types of questions the data may answer, and the key variables in the data
In: Administrative science quarterly: ASQ ; dedicated to advancing the understanding of administration through empirical investigation and theoretical analysis, Band 25, Heft 4, S. 700-703
ISSN: 0001-8392
In: Sage benchmarks in social research methods
In: Qualitative Research 2,4
In: Sage University papers
In: Quantitative applications in the social sciences 16
In: Sage university papers
In: Cambridge atmospheric and space science series 2
In: Translating Statistics to Make Decisions, S. 47-74