In this paper we explore the possible reasons why medical papers reporting clinical trials sponsored by the pharmaceutical industry often analyse repeated measures data at certain key time-points instead of employing sophisticated models of repeated measures proposed by many statisticians. A survey
Planning group sizes in clinical trials with a continuous outcome and repeated measures
โ Scribed by Hubert J. A. Schouten
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 119 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0277-6715
No coin nor oath required. For personal study only.
โฆ Synopsis
Simple formulae have been derived for the accurate computation of sample sizes when the two-sample t-test is used. Required sample sizes may be reduced by taking repeated measures, especially if correlations are about equal. In a trial with two parallel groups, repeated measures may be summarized by a pre-treatment mean and a post-treatment mean. In a cross-over trial measures may be repeated within each treatment period. In case the difference between two independent groups increases in time, individual slopes may be used if the correlation between two measures hardly depends on distance in time between these measures. However, it may be more efficient to use only the first and last measure in the statistical test if correlations strongly depend on time distance.
๐ SIMILAR VOLUMES
Guenther derived a simple formula for the accurate computation of equal sample sizes when the two-sample t-test with pooled variance estimate is used. In the present paper, the Guenther formula is generalized to the case of unequal sample sizes. In addition, the case of unequal variances is consider
In many randomized clinical trials with repeated measures of a response variable one anticipates a linear divergence over time in the difference between treatments. This paper explores how to make an efficient choice of analysis based on individual patient summary statistics. With the objective of e
## Abstract In a randomized clinical trial (RCT), noncompliance with an assigned treatment can occur due to serious side effects, while missing outcomes on patients may happen due to patients' withdrawal or loss to follow up. To avoid the possible loss of power to detect a given risk difference (RD