Probability logic and probabilistic induction

被引:61
作者
Greenland, S [1 ]
机构
[1] Univ Calif Los Angeles, Sch Publ Hlth, Dept Epidemiol, Los Angeles, CA 90095 USA
关键词
Bayesian analysis; induction; inference; logic; probability; statistics;
D O I
10.1097/00001648-199805000-00018
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
This article reviews some philosophical aspects of probability; and describes how probability logic can give precise meanings to the concepts of inductive support, corroboration, reputation, and related notions, as well as provide a foundation for logically sound statistical inference. Probability logic also provides a basis for recognizing prior distributions as an integral component of statistical analysis, rather than the current misleading practice of pretending that statistics applied to observational data are objective. This basis is important, because the use of realistic priors in a statistical analysis can yield more stringent tests of hypotheses and more accurate estimates than conventional procedures.
引用
收藏
页码:322 / 332
页数:11
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