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TAS Highlights
Books Reviewed
May Issue Begins
Bayesian Computation with R
Jim Albert
with Question:
Fundamentals of Clinical Research: Bridging
Medicine, Statistics, and Operations
What Is Statistics?
Antonella Bacchieri and Giovanni Della Cioppa
Handbook of Regression an d Modeling:
Applications for the Clinical and Pharma-
John Stufken, TAS Editor
ceutical Industries
Daryl S. Paulson
How to Display Data
Jenny V. Freeman, Stephen J. Walters, and
In the Statistical Practice
Michael J. Campbell
section, John Emerson, Miki
Introduction to Statistics for Biology (3rd ed.)
Seltzer, and David Lin provide
Robin H. McCleery, Trudy A. Watt, and
a framework for studying judging
Tom Hart
bias in sports scoring in an article
titled “Assessing Judging Bias: An
Introduction to Structural Equation Modeling
Example from the 2000 Olympic
Using SPSS and AMOS
Games.” Taking advantage of
Niels Blunch
the availability of complete scor-
Introductory Applied Biostatistics
ing sheets from the diving com-
Ralph D’Agostino Sr., Lisa M. Sullivan, and
petition at the 2000 Summer
Alexa S. Beiser
Olympics, they use a linear model
to analyze the data and discover
Lattice: Multivariate Data Visualization with R
A
t the start of my first TAS
strong evidence of nationalistic
Deepayan Sarkar
article for Amstat News, I
would like to thank past
favoritism in the judging. Multilevel Analysis for Applied Research: It’s Just
TAS editor Peter Westfall for his
Along with a review of litera- Regression!
outstanding leadership and pro-
ture on confidence intervals for Robert Bickel
motion of the journal over the
a binomial proportion under
Numerical Methods for Special Functions
past three years. His help and
single, double, and multistage
Amparo Gil, Javier Segura, and Nico M. Temme
advice during my time as editor-
sampling, Kenneth Ryan pro-
elect are also highly appreciated.
poses and studies a new meth-
Probability and Statistics with R
What Is Statistics? This intrigu-
od in his article, “Approximate
María Dolores Ugarte, Ana F. Militino, and
ing question allows for a variety of
Confidence Intervals for p When
Alan T. Arnholt
answers and thoughts, but is also
Double Sampling.”
Testing 1 - 2 - 3: Experimental Design with
the title of the lead TAS article by
Finally, Jack Gambino’s
Applications in Marketing and Service Operations
Emery Brown and Robert Kass.
“Design Effect Caveats” consid-
Johannes Ledolter and Arthur Swersey
The authors argue that for statis-
ers use of the so-called design
tics to overcome the challenges
effect in complex survey sampling
Analysis of Correlated Data with SAS
it faces and remain vibrant, it is
designs and discusses potential
and R (3rd ed.)
essential that statisticians adopt a
pitfalls that may be encountered
Mohamed M. Shoukri and Mohammad
broader and more inclusive view
in practice when a design effect
A. Chaudhary
of what constitutes statistical
is computed incorrectly or the
Basic Statistics Using SAS Enterprise Guide:
training. Their recommendations
wrong design effect is used. A Primer
to achieve this goal prominently
The General section opens Geoff Der and Brian S. Everitt
feature statistical thinking, flex-
with the article “Easy Multiplicity
ibility in requirements, and cross-
Control in Equivalence Testing
Carpenter’s Complete Guide to the SAS
disciplinary activities. The article
Using Two One-Sided Tests,”
REPORT Procedure
is followed by comments from
by Carolyn Lauzon and Brian
Art Carpenter
others and a rejoinder by the
Caffo. The authors propose and
JMP Start Statistics: A Guide to Statistics and
authors. It is hoped that the arti-
study a simple procedure for con-
Data Analysis Using JMP (4th ed.)
cle will lead to further discussion,
trolling the familywise error rate
John Sall, Lee Creighton, and Ann Lehman
and I would be happy to consider
for all pairwise comparisons when
Statistical Methods for the Social Sciences (4th ed.)
additional interesting comments
the two one-sided tests procedure
Alan Agresti and Barbara Finlay
or contributions.
is used for equivalence testing.
JULY 2009 AMSTAT NEWS 23
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