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Titlebook: Biostatistics; Advances in Statisca Ian B. MacNeill,Gary J. Umphrey,V. Krishna Jandhya Book 1987 D. Reidel Publishing Company, Dordrecht, H

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期刊全称Biostatistics
期刊简称Advances in Statisca
影响因子2023Ian B. MacNeill,Gary J. Umphrey,V. Krishna Jandhya
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学科分类The Western Ontario Series in Philosophy of Science
图书封面Titlebook: Biostatistics; Advances in Statisca Ian B. MacNeill,Gary J. Umphrey,V. Krishna Jandhya Book 1987 D. Reidel Publishing Company, Dordrecht, H
影响因子On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro­ fessor V. M. Joshi. These symposia were chosen to reflect Professor Joshi‘s research interests as well as areas of expertise in statistical science among faculty in the Departments ofStatistical and Actuarial Sciences, Economics, Epidemiology and Biostatistics, and Philosophy. From these symposia, the six volumes which comprise the "Joshi Festschrift" have arisen. The 117 articles in this work reflect the broad interests and high quality of research of those who attended our conference. We would like to thank all of the contributors for their superb cooperation in helping us to complete this project. Our deepest gratitude must go to the three people who have spent so much of their time in the past year typing these volumes: Jackie Bell, Lise Constant, and Sandy Tarnowski. This work has been printed from "camera ready" copy produced by our Vax 785 computer and QMS Lasergraphix printers, using the text processing software TEX. At the initiation of this project, we were neophytes inthe use ofthis system. Thank you, Jackie, Lise, and Sandy, for
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Recursive Partition: A Versatile Method for Exploratory-Data Analysis in Biostatistics, usual to build predictive models by means of stepwise logistic or Cox regression, a practice that tends to emphasize main effects and overlook possible interactions..An alternative approach is that of Recursive Partition (RP), a well known clustering method adapted by us to the case of response var
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Development of Formulas for the Bias and Mean Square Error of the Logit Estimator,d provide adequate approximations provided the parameters . and . of the binomial model are such that . is not small. Although the asymptotic expansions are algebraically complicated, they have been mathematically expressed in such a way that general coefficients can be isolated and calculated.
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