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Some of My Favorite Statistical Books...
Here are some books I referred to frequently that may be useful to readers
of Statistical Rules of Thumb. Not included are more theoretical books
used for derivation of some of the rules. All the books listed should be
accessible. Another criterion for selection is that the books should be
fairly recent. The one exception is the book by R.A. Fisher. This is a list
of favorites, hence, the glowing comments are a biased sampling of the
universe of comments.
This review ignores key papers that frequently summarize and update a
field. For example, the area of
missing data is growing so rapidly that some of the older standard texts are
becoming less useful for references.
If you have favorites that should be added to this list
let me know.
[Epidemiology]
[General_Biostatistics] [Environmental_Studies] [Design_of_Experiments] [Words,_Tables,_and_Graphs]
[Covariation] [General_Statistics]
Epidemiology
Breslow, N.E. and Day, N.E. (1987). Statistical
Methods in Cancer Research. Volume I and II. International Agency for
Research on Cancer Scientific Publications No. 82, Lyon. The
standard for many years. Always worthwhile. Clayton, D. and Hills, M. (1993).
Statistical
Models in Epidemiology. Oxford University Press, Oxford. A
tour de force. An outstanding example of how to present theoretical
results in an understandable way. A novel tree-diagram approach to modeling
epidemiological studies. Newman, S.C. (2001). Biostatistical
Methods in Epidemiology. John Wiley and Sons, New York. An
excellent statistical treatment of epidemiology. Can be trusted. The
mathematical level is higher than Clayton and Hills (1993) but still
accessible. I recommend it highly. Excellent chapter on sample size
calculations. [Top of Page]
General Biostatistics
Armitage, P. and Colton, T. (editors) (1998). Encyclopedia
of Biostatistics. John Wiley and Sons, Chicester, UK. This
is THE reference for biostatistical topics. Most of the biostatistical topics
in Statistical Rules of Thumb find a counterpart in this encyclopedia. The
price is such that it will only be found in large libraries.
Fisher, L.D. and van Belle, G. (1993). Biostatistics:
A Methodology for the Health Sciences. John Wiley and Sons, New York.
An encyclopedic approach to biostatistics for researchers and students.
Good reference. Revised edition is planned. Lachin,
J.M. (2000). Biostatistical
Methods. John Wiley and Sons, New York. Excellent text by
one of the leaders in the field; it's fairly mathematical. Very useful links
to epidemiology-could be used as a epidemiology text as well. Has a unified approach
to sample size calculations. [Top of Page]
Environmental Studies
Barnett, V. and O'Hagan, A. (1997). Setting
Environmental Standards: The Statistical Approach to Handling Uncertainty and
Variation. Chapman & Hall, London. An excellent
resource for statistical aspects of setting standards. The international
context provides a good perspective. Millard, S.P. and
Neerchal, N.K. (2001). Environmental
Statistics. CRC Press, Boca Raton, FL. An encyclopedic,
illustrated, review of statistical methods used in environmental studies.
Deserves a prize. If you want to know what procedure to use and how to use
it, consult this text. Ott, W.R. (1995a). Environmental
Statistics and Data Analysis. Lewis Publishers, Boca Raton, FL. An
excellent book on environmental statistics. Chapters on the lognormal
distribution are worth the price of the book. Written by a leader in the
field of exposure assessment. [Top of Page]
Design of Experiments
Cox, D.R. and Reid, N. (2000). The
Theory of the Design of Experiments. Chapman & Hall/CRC, London.
A classic of the design of experiments in modern dress. Great resource.
Fisher, R.A. (1935). The
Design of Experiments. Oliver and Boyd, Edinburgh. THE
classic in the design of experiments. All the basic ideas about design are
here. My mentor (D.B. DeLury) said this book should be read once a year for
ten years. Still very readable although there is more mathematics than meets
the eye. Yandell, B.S. (1997). Practical
Data Analysis for Designed Experiments. Chapman and Hall,
London. Thorough reference for the design of experiments. Great
website for associated data. [Top of Page]
Words, Tables, Graphs
Cleveland, W.S. (1993). Visualizing
Data. Hobart, Summit, NJ. A very thorough discussion of
graphical techniques. Tufte, E.R. (1983). The
Visual Display of Quantitative Information. Graphics Press,
Cheshire, CT. Any book by Tufte is worth owning. This first one is
still my favorite. Subsequent volumes display increasing artistry. A Tufte
continuing education course on graphics is an intellectual feast. Wainer,
H. (1997). Visual
Revelations:
Graphical Tales of Fate and Deception from Napoleon Bonaparte to Ross Perot.
Springer-Verlag, New York. Wainer's columns in the journal
(magazine?) Chance are evidence of his insights into display of data.
In this book he takes us on a historical tour. Wilkinson,
L. (1999). The
Grammar of Graphics. Springer, New York. An ambitious book
aiming to develop rules for the graphical display of numerical information.
[Top of Page]
Covariation
Agresti, A.(1990). Categorical
Data Analysis. John Wiley & Sons, New York. Agresti
has written several books on covaration associated with categorical data.
This book provides a good introduction and reference. Diggle,
P.J., Liang, K-Y., and Zeger, S.L. (1994). Analysis
of Longitudinal Data. Oxford Science
Publications, Oxford.
Excellent resource for starting to think about longitudinal data
analysis. Is being updated at this time.
McDonald, R.P. (1999). Test
Theory: A Unified Approach. Lawrence Erlbaum Associates, Mahwah, NJ.
An outstanding reference for
psychometrics associated with the development and evaluation of tests.
McDonald's perspective is broad and integrative. Start here for factor
analysis, item response.
theory, and classical test
theory.
[Top of Page]
General Statistics
Hollander, M. and Wolfe, D.A. (1999). Nonparametric
Statistical Methods, second edition. John Wiley and Sons, New York.
The best book on nonparametric statistics. The authors, experts in the
field, are aware of the latest trends and give nice examples throughout.
Kleinbaum, D.G., Kupper, L.J., Muller, K.E. and Nizam, A. (1998). Applied
Regression Analysis and Multivariable Methods. Third edition.
Brooks/Cole, Pacific Grove, CA. A standard regression
reference that keeps getting updated. Raftery, A.E., Tanner, M.A.
and Wells, M.T. (editors). Statistics
in the 21st Century. Chapman & Hall/CRC, Boca Raton, FL. What
will statistics be like in the 21st century? A series of vignettes
by leaders in the field. Well-written and a great resource for recent
references. [Top of Page]
© Gerald van Belle
November
11, 2003
[Epidemiology] [General_Biostatistics] [Environmental_Studies] [Design_of_Experiments] [Words,_Tables,_and_Graphs]
[Covariation] [General_Statistics]
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