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＜電子ブック＞
The Use of Restricted Significance Tests in Clinical Trials / by David S. Salsburg
(Statistics for Biology and Health. ISSN:21975671)

版	1st ed. 1992.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	1992
本文言語	英語
大きさ	X, 174 p : online resource
著者標目	*Salsburg, David S author SpringerLink (Online service)
件　名	LCSH:Biomathematics LCSH:Biometry FREE:Mathematical and Computational Biology FREE:Biostatistics
一般注記	One Philosophical and Scientific Problems when Applying Statistical Methods to Clinical Data -- 1 The Randomized Controlled Clinical Trial -- 2 Probability Models and Clinical Medicine -- 3 Significance Tests Versus Hypothesis Tests -- 4 Neyman’s Insights -- 5 Reconciling Fisher and Neyman -- Two Techniques for Applying Restricted Tests to Data from Randomized Controlled Clinical Trials -- 6 Continuous Measures Taken over Time -- 7 Combining Data Across Measures -- 8 Counts of Events -- 9 Permutation Tests and Resampling Techniques -- 10 Neyman’s Restricted Chi Square Tests -- 11 Miscellaneous Methods for Increasing Power -- 12 Bayesian Estimation -- 13 An Example of the Type of Analysis Suggested in This Book -- References The reader will soon find that this is more than a "how-to-do-it" book. It describes a philosophical approach to the use of statistics in the analysis of clinical trials. I have come gradually to the position described here, but I have not come that way alone. This approach is heavily influenced by my reading the papers of R.A. Fisher, F.S. Anscombe, F. Mosteller, and J. Neyman. But the most important influences have been those of my medical colleagues, who had important real-life medical questions that needed to be answered. Statistical methods depend on abstract mathematical theorems and often complicated algorithms on the computer. But these are only a means to an end, because in the end the statistical techniques we apply to clinical studies have to provide useful answers. When I was studying martingales and symbolic logic in graduate school, my wife, Fran, had to be left out of the intellectual excitement. But, as she looked on, she kept asking me how is this knowledge useful. That question, what can you do with this? haunted my studies. When I began working in bio­ statistics, she continued asking me where it was all going, and I had to explain what I was doing in terms of the practical problems that were being ad­ dressed HTTP:URL=https://doi.org/10.1007/978-1-4612-4414-1

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