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Modern Applied Regressions - Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan (Hardcover)
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Modern Applied Regressions - Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan (Hardcover)
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Expected to ship within 10 - 15 working days
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Modern Applied Regressions creates an intricate and colorful mural
with mosaics of categorical and limited response variable (CLRV)
models using both Bayesian and Frequentist approaches. Written for
graduate students, junior researchers, and quantitative analysts in
behavioral, health, and social sciences, this text provides details
for doing Bayesian and frequentist data analysis of CLRV models.
Each chapter can be read and studied separately with R coding
snippets and template interpretation for easy replication. Along
with the doing part, the text provides basic and accessible
statistical theories behind these models and uses a narrative style
to recount their origins and evolution. This book first scaffolds
both Bayesian and frequentist paradigms for regression analysis,
and then moves onto different types of categorical and limited
response variable models, including binary, ordered, multinomial,
count, and survival regression. Each of the middle four chapters
discusses a major type of CLRV regression that subsumes an array of
important variants and extensions. The discussion of all major
types usually begins with the history and evolution of the
prototypical model, followed by the formulation of basic
statistical properties and an elaboration on the doing part of the
model and its extension. The doing part typically includes R codes,
results, and their interpretation. The last chapter discusses
advanced modeling and predictive techniques-multilevel modeling,
causal inference and propensity score analysis, and machine
learning-that are largely built with the toolkits designed for the
CLRV models previously covered. The online resources for this book,
including R and Stan codes and supplementary notes, can be accessed
at
https://sites.google.com/site/socjunxu/home/statistics/modern-applied-regressions.
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