论文信息 - Statistical proof in inconclusive 'negative' trials.

Statistical proof in inconclusive 'negative' trials.

Three hundred thirty-five published articles from six medical journals that contained "negative" results were examined to determine the probability of detecting "small," "medium," and "large" therapeutic improvements. The mean probability of detecting a small effect size was.138; for a medium effect size, the probability was.387; and for a large effect size, it was.614. ( Arch Intern Med 1981;141-1307-1310)

J. Reed | J F Reed | W Slaichert | W. Slaichert

[1] L. J. Chase,et al. Communication disorders: a power analytic assessment of recent research. , 1975, Journal of communication disorders.

[2] T. J. Sheehan,et al. The medical literature. Let the reader beware. , 1980, Archives of internal medicine.

[3] Jacob Cohen. Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[4] S M Gore,et al. Misuse of statistical methods: critical assessment of articles in BMJ from January to March 1976. , 1977, British medical journal.

[5] James K. Brewer,et al. On the Power of Statistical Tests in the American Educational Research Journal 1 , 1972 .

[6] L. J. Chase,et al. A power‐analytic examination of contemporary communication research , 1975 .

[7] S. Schor,et al. Statistical evaluation of medical journal manuscripts. , 1966, JAMA.

[8] Jacob Cohen,et al. Approximate Power and Sample Size Determination for Common one-Sample and two-Sample Hypothesis Tests , 1970 .