Modeling Binary Correlated Responses Modeling Binary Correlated Responses
ICSA Book Series in Statistics

Modeling Binary Correlated Responses

Using SAS, SPSS, R and STATA

Jeffrey R. Wilson والمزيد
    • ‏119٫99 US$
    • ‏119٫99 US$

وصف الناشر

This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages, as well as showcase both traditional and new methods for application to health-related research. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Short tutorials are in the appendix, for readers interested in learning more about the languages.

Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, SPSS and STATA, allows for easy implementation by readers. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.

النوع
علم وطبيعة
تاريخ النشر
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١٤ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Shakespeare and Game of Thrones Shakespeare and Game of Thrones
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Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
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Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases
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Modeling Binary Correlated Responses using SAS, SPSS and R Modeling Binary Correlated Responses using SAS, SPSS and R
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Sampling Theory and Practice Sampling Theory and Practice
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Statistical Causal Inferences and Their Applications in Public Health Research Statistical Causal Inferences and Their Applications in Public Health Research
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Dose Finding and Beyond in Biopharmaceutical Development Dose Finding and Beyond in Biopharmaceutical Development
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Statistics in Precision Health Statistics in Precision Health
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Statistical Inference Under Mixture Models Statistical Inference Under Mixture Models
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Emerging Topics in Modeling Interval-Censored Survival Data Emerging Topics in Modeling Interval-Censored Survival Data
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