Books about statistics
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ALL PRICES IN USD
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Featured titles
All graduate students and researchers should read Mostly Harmless
Econometrics: An Empiricist's Companion, by Joshua D. Angrist and
Jörn-Steffen Pischke. This instructive and irreverent romp through
microeconometrics is as much of a page turner as we are likely to see in a
book about statistical methods.
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Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data, 2nd Edition,
by William D. Dupont,
is ideal for a one-semester graduate course in biostatistics and epidemiology.
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Introduction to Meta-Analysis, by
Michael Borenstein, Larry V. Hedges, Julian P. T. Higgins, and Hannah R.
Rothstein, is both complete and current, and is ideal for researchers
wanting a conceptual treatment of the methodology.
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Fixed Effects Regression Models, by
Paul D. Allison, is a useful handbook that concentrates on the application
of fixed-effects methods for a variety of data situations, from linear
regression to survival analysis.
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Logistic Regression Models, by
Joseph M. Hilbe, arose from Hilbe’s course in logistic regression at
statistics.com. The examples in
the book use both official and user-written Stata commands and include
Stata output and graphs.
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