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Potential flaws in the bootstrap approach are considered by Schenker
[1985], Wu [1986], Diciccio and Romano [1988], Efron [1988, 1992],
Knight [1989], and Gine and Zinn [1989]. Canty et al. [2000] provide a
set of diagnostics for detecting and dealing with potential error sources.
Berry and Stangl [1996] include a collection of case studies in Bayesian
biostatistics. Kass and Raftery [1995] discuss the problem of establishing
priors along with a set of practical examples. The Bayes factor can be used
as a test statistic; see Good [1992].
For more on the strengths and limitations of meta-analysis, see Egger
and Smith [1997], Egger, Smith, and Phillips [1997], Smith, Egger, and
Phillips [1997], Smith and Egger [1998], Gillett [2001], Gurevitch and
Hedges [1993], Horowitz [1995], and Smeeth, Haines, and Ebrahim
[1999]. To learn about the appropriate statistical procedures, see Adams,
Gurevitch, and Rosenberg [1997], Berlin et al. [1989], and Hedges and
Olkin [1985].
For practical, worked-through examples of hierarchical Bayesian analysis,
see Harley and Myers [2001] and Su, Adkison, and Van Alen [2001].
Theoretical development may be found in Mosteller and Chalmers [1992]
and in Carlin and Louis [1996].
The lack of access to the raw data underlying published studies is a
matter of ongoing concern. See Moher et al. [1999], Eysenbach and Sa
[2001], and Hutchon [2001].
Permutation methods and their applications are described in Good
[2001], Manley [1997], Mielke and Berry [2001], and Pesarin [2001].
For a description of some robust permutation tests, see Lambert [1985]
and Maritz [1996]. Berger [2000] reviews the pros and cons of permuta-
tion tests.
