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A Note on Design when Response has an Exponential Family Distribution
D. R. Cox
Vol. 75, No. 1 (Mar., 1988), pp. 161-164
Stable URL: http://www.jstor.org/stable/2336449
Page Count: 4
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Some simple design problems are considered when responses have an exponential family distribution with the difference between `treatment' groups in the canonical parameter being the objective of study. It is shown that normal theory conclusions apply to a possibly surprising extent. The loss from randomizing followed by subsequent stratification is the equivalent of one observation per stratum. For binary data heterogeneity has to be quite large before failure to stratify induces serious loss, whereas unnecessary use of a matched pair design is fully efficient asymptotically.
Biometrika © 1988 Biometrika Trust