Books about statistics
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Multiple Imputation and its Application, by James R. Carpenter and Michael
G. Kenward, provides an excellent review of multiple imputation (MI) from
basic to advanced concepts. This book describes the rationale for MI and
its underlying assumptions in a broad range of statistical settings, and
demonstrates the use of this procedure for handling missing data in complex
data structures.
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Aplicaciones en Economía y Ciencias Sociales con Stata, edited by
Alfonso Mendoza Velázquez, is the first publication in Spanish
produced by Stata Press. The content is the result of a selection of
individual works by a diverse group of authors in different areas of
knowledge who illustrate the use of a variety of tools available in Stata.
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Introduction to Time Series Using Stata, by Sean Becketti, provides a
practical guide to working with time-series data using Stata and will appeal
to a broad range of users. The many examples, concise explanations that
focus on intuition, and useful ti ps based on the author’s decades of
experience using time-series methods make the book insightful not just for
academic users but also for practitioners in industry and government.
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Generalized Estimating Equations, Second Edition, by James W. Hardin
and Joseph M. Hilbe, is heavy in mathematical and computational detail, but
the mathematics is balanced by an array of real-world datasets and
analyses. Thus the text should appeal to a wide audience, from the
mathematical statistician wishing to glean the current state o f the GEE
literature to the professional researcher needing to fit a GEE model to
solve a particular problem.
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