Longitudinal data analysis (769 Ergebnisse)

Sprache: Englisch
Verlag: SAGE Publications, Inc, 1984
Serie: Buch 37 von 194 - Quantitative Applications in the Social Sciences
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Sprache: Englisch
Verlag: SAGE Publications, Inc (edition 1), 1984
Serie: Buch 37 von 194 - Quantitative Applications in the Social Sciences
- Softcover
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Sprache: Englisch
Verlag: SAGE Publications, Inc, 1984
Serie: Buch 37 von 194 - Quantitative Applications in the Social Sciences
- Softcover
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Sprache: Englisch
Verlag: SAGE Publications, Incorporated, 1984
Serie: Buch 37 von 194 - Quantitative Applications in the Social Sciences
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Sprache: Englisch
Verlag: SAGE Publications, Incorporated, 1984
Serie: Buch 37 von 194 - Quantitative Applications in the Social Sciences
- Softcover
Anbieter: Better World Books, Mishawaka, IN, USABetter World Books
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Hardback. Zustand: Good. This book describes statistical models and methods for the analysis of longitudinal data, with a strong emphasis on applications in the biological and health sciences. The technical level of the book is roughly that of a final year undergraduate or first year postgraduate course in statistics. The book divides naturally into three blocks. The first three chapters provide an introduction to the subject, and cover basic issues of design and exploratory analysis. Chapters 4, 5, 6, and 11 develop linear models and associated statistical methods for data sets in which the response variable is a continuous measurement. Chapters 7, 8, 9, and 10 are concerned with generalized linear models for discrete response variables. Appendix A gives a brief review of the statistical background assumed. This book is intended for statisticians - MSc students and researchers.…

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Sprache: Englisch
Verlag: Oxford University Press, 2002
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Sprache: Englisch
Verlag: SAGE Publications Inc, 1985
Serie: Buch 37 von 194 - Quantitative Applications in the Social Sciences
- Softcover
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Paperback. Zustand: Good. Drawing on recent ?event history? analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression-like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful.…

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Sprache: Englisch
Verlag: SAGE Publications, Inc, 1984
Serie: Buch 37 von 194 - Quantitative Applications in the Social Sciences
- Softcover
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Sprache: Englisch
Verlag: SAGE Publications, Inc, 1984
Serie: Buch 37 von 194 - Quantitative Applications in the Social Sciences
- Softcover
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Sprache: Englisch
Verlag: SAGE Publications, Inc, 1984
Serie: Buch 37 von 194 - Quantitative Applications in the Social Sciences
- Softcover
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Sprache: Englisch
Verlag: Oxford University Press, 2002
- Hardcover
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Hardback. Zustand: Fair. The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This new edition of Analysis for Longitudinal Data provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.…

Sprache: Englisch
Verlag: Oxford University Press, 2002
- Hardcover
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Hardback. Zustand: Good. The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This new edition of Analysis for Longitudinal Data provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.…

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Hardback. Zustand: Good. This book describes statistical models and methods for the analysis of longitudinal data, with a strong emphasis on applications in the biological and health sciences. The technical level of the book is roughly that of a final year undergraduate or first year postgraduate course in statistics. The book divides naturally into three blocks. The first three chapters provide an introduction to the subject, and cover basic issues of design and exploratory analysis. Chapters 4, 5, 6, and 11 develop linear models and associated statistical methods for data sets in which the response variable is a continuous measurement. Chapters 7, 8, 9, and 10 are concerned with generalized linear models for discrete response variables. Appendix A gives a brief review of the statistical background assumed. This book is intended for statisticians - MSc students and researchers.…

Sprache: Englisch
Verlag: Oxford University Press, 2002
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