MUST CLINICAL-TRIALS BE LARGE - THE INTERPRETATION OF P-VALUES AND THE COMBINATION OF TEST-RESULTS

被引：19

作者：

BARNARD, GA

机构：

[1] University of Essex, Wivenhoe Park, Colchester

来源：

STATISTICS IN MEDICINE | 1990年 / 9卷 / 06期

关键词：

D O I：

10.1002/sim.4780090606

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The notion that small, well planned clinical trials may not be worth undertaking is shown to arise from an overemphasis on just one way of interpreting P‐values. Alternative forms of P and other interpretations are put forward. Attention is drawn to some aspects of the theory of hypothesis testing which seem less well known than they should be. Copyright © 1990 John Wiley & Sons, Ltd.

引用

页码：601 / 614

页数：14

共 21 条

[1]

Peto R., Pike M.C., Armitage P., Breslow N.E., Cox D.R., Howard S.V., Mantel N., McPherson K., Peto J., Smith P.G., Design and analysis of randomised clinical trials requiring prolonged observation of each patient, British Journal of Cancer, 34, pp. 586-612

[2]

British Journal of Cancer, 35, (1977)

[3]

Yusuf S., Collins R., Peto R., Why do we need some large, simple randomised trials?, Statistics in Medicine, 3, pp. 409-420, (1984)

[4]

Bernoulli, (1985)

[5]

Galileo G.

[6]

Lancaster H.O., Statistical control of counting experiments, Biometrika, 39, pp. 419-422, (1949)

[7]

Fisher R.A., Statistical Methods and Scientific Inference, (1956)

[8]

Neyman J., Pearson E.S., On the problem of the most efficient tests of statistical hypotheses, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 231, pp. 289-337, (1933)

[9]

Pitman E.J.G., Some Remarks on Statistical Inference: Bernouilli, Bayes, Laplace, pp. 209-216, (1965)

[10]

Barnard G.A., A new approach to the Fisher‐Behrens problem, Utilitas Mathematica, 21 B, pp. 261-271, (1982)

← 1 2 3 →