A MARKOVIAN MODEL FOR COMPARING INCIDENCES OF SIDE-EFFECTS

被引：9

作者：

BRISTOL, DR

PATEL, HI

机构：

[1] Ciba-Geigy Corporation, Summit, New Jersey

[2] Berlex Laboratories Inc., Wayne, New Jersey

来源：

STATISTICS IN MEDICINE | 1990年 / 9卷 / 07期

关键词：

D O I：

10.1002/sim.4780090709

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

For clinical trials that entail observations at successive visits for the occurrence of a side effect, this paper considers a likelihood‐based method to compare side effect incidence rates. The method, which employs the assumption of a Markov chain of order one for the vectors of binary responses, handles missing data due to premature withdrawals. An actual numerical example and a simulated example illustrate the technique. Copyright © 1990 John Wiley & Sons, Ltd.

引用

页码：803 / 809

页数：7

共 6 条

[1]

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[2]

Patel H.I., pp. 84-92, (1979)

[3]

Crepeau H., Koziol J., Reid N., Yuh Y.S., Analysis of incomplete multivariate data from repeated measurement experiments, Biometrics, 41, pp. 505-514, (1985)

[4]

Patel H.I., Khatri C.G., Analysis of incomplete data in experiments with repeated measurements in clinical trials using a stochastic model, Communications in Statistics‐Theory and Methods, 10 A, 22, pp. 2259-2277, (1981)

[5]

Gould A.L., A new approach to the analysis of clinical drug trials with withdrawals, Biometrics, 36, pp. 721-727, (1980)

[6]

Anderson T.W., Goodman L.A., Statistical inference about Markov chains, The Annals of Mathematical Statistics, 28, pp. 89-110, (1957)

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