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Statistical Regression Modeling with R - Longitudinal and Multi-level Modeling (Hardcover, 1st ed. 2021)
Loot Price: R3,285
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Statistical Regression Modeling with R - Longitudinal and Multi-level Modeling (Hardcover, 1st ed. 2021)
Series: Emerging Topics in Statistics and Biostatistics
Expected to ship within 10 - 15 working days
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This book provides a concise point of reference for the most
commonly used regression methods. It begins with linear and
nonlinear regression for normally distributed data, logistic
regression for binomially distributed data, and Poisson regression
and negative-binomial regression for count data. It then progresses
to these regression models that work with longitudinal and
multi-level data structures. The volume is designed to guide the
transition from classical to more advanced regression modeling, as
well as to contribute to the rapid development of statistics and
data science. With data and computing programs available to
facilitate readers' learning experience, Statistical Regression
Modeling promotes the applications of R in linear, nonlinear,
longitudinal and multi-level regression. All included datasets, as
well as the associated R program in packages nlme and lme4 for
multi-level regression, are detailed in Appendix A. This book will
be valuable in graduate courses on applied regression, as well as
for practitioners and researchers in the fields of data science,
statistical analytics, public health, and related fields.
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