PRIME-TIME FOR BAYES

被引：37

作者：

KADANE, JB

机构：

[1] Department of Statistics, Carnegie Mellon University, Pittsburgh, PA

来源：

CONTROLLED CLINICAL TRIALS | 1995年 / 16卷 / 05期

关键词：

ELICITATION; LOSS FUNCTION; PRIOR DISTRIBUTION; POSTERIOR DISTRIBUTION; OBJECTIVITY; SUBJECTIVITY; UTILITY FUNCTION;

D O I：

10.1016/0197-2456(95)00072-0

中图分类号：

R-3 [医学研究方法]; R3 [基础医学];

学科分类号：

1001 ;

摘要：

This paper reviews what Bayesian statistics is and gives pointers to the literature. The need for a subjectively determined prior distribution, likelihood, and loss function is often taken to be the principal disadvantage of Bayesian statistics. This paper argues that the requirement that these be explicitly stated is a distinct Bayesian advantage. Advances in Bayesian technology make it ready now to be the main inferential tool for clinical trials.

引用

页码：313 / 318

页数：6

共 39 条

[1]

BARNETT V, 1982, COMP STATISTICAL INF

[2]

BERGER JO, 1994, TEST, P35

[3]

Bernardo J.M., 1994, BAYESIAN THEORY

[4]

BERRY DA, 1993, STAT MED, V21, P1377

[5]

BERRY DA, 1995, BAYESIAN BIOSTATISTI

[6]

BRESLOW N, 1990, STAT SCI, V5, P267

[7] EXPLAINING THE GIBBS SAMPLER [J].

CASELLA, G ;

GEORGE, EI .

AMERICAN STATISTICIAN, 1992, 46 (03) :167-174

[8] GRAPHICAL ELICITATION OF A PRIOR DISTRIBUTION FOR A CLINICAL-TRIAL [J].

CHALONER, K ;

CHURCH, T ;

LOUIS, TA ;

MATTS, JP .

STATISTICIAN, 1993, 42 (04) :341-353

[9]

CHALONER K, 1995, ELICITATION PRIOR DI

[10]

DUMOUCHEL W, 1989, STATISTICAL METHODOL, P509

← 1 2 3 4 →