By C. R. Rao, S. Ghosh
Hardbound. the aim of this quantity of the instruction manual of facts is to supply the reader with the cutting-edge of statistical layout and techniques of research which are to be had, in addition to the frontiers of analysis actions in constructing new and higher tools for acting such projects. clinical experiments in drugs, undefined, agriculture, desktop and lots of different disciplines are lined. Statistical equipment like parametric, semiparametric, nonparametric, adaptive, univariate, multivariate, frequentist and Bayesian, are mentioned. Block, row-column, nested, factorial, reaction floor, spatial, powerful, optimal, seek, singlestage, multistage, distinctive and approximate designs are provided. The chapters are written in expository type and should be of price to scholars, researchers, experts and practitioners in universities in addition to industries.
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L. S. Freedman and M. K. B. Parmar (1993). Applying Bayesian thinking in drug development and clinical trials. Statist. Med. 12, 1501-1511. Spiegelhalter, D. , L. S. Freedman and M. K. B. Parmar (1994). Bayesian approaches to randomized trials (with discussion), J. Roy. Statist. Soc. Ser. A 157, 357-416. Statistical Methods in Medical Research (1994). Editorial and five review articles on Crossover Designs. 3, 301-429. Stephen, K. , I. G. Chestnutt, A. P. M. Jacobson, D. R. McCall, R. K. Chesters, E.
1: The relationship between clinical trials and clinical practice: The risks of underestimating its complexity. Statist. Med. 13, 1485-1491. Machin, D. and M, J. Campbell (1987). for the Design of Clinical Trials. Blackwell, Oxford. Matthews, J. N. S. (1988). Recent developments in crossover designs, lnternat. Statist. Rev. 56, 117-127. Matthews, J. N. S. (1994a). Modelling and optimality in the design of crossover studies for medical applications. J. Statist. Plann. Inference 42, 89-108. Matthews, J.
Chapman and Hall, London. Jones, D. R. (1995). Meta-analysis: Weighing the evidence. Statist. Med. 14, 137-149. Kim, K. and D. L. DeMets (1992). Sample size determination for group sequential clinical trials with immediate response. Statist. Med. 11, 1391-1399. Lan, K. K. G. and D. L. DeMets (1983). Discrete sequential boundaries for clinical trials. Biometrika 70, 659-663. Lan, K. K. , R. Simon and M. Halperin (1982). Stochastically curtailed tests in long-term clinical trials. Comm. Statist. C 1, 207-219.
