When the merits of different treatments are being studied and subjects are allocated to the treatment groups at random, undesirably large initial differences between the groups sometimes occur. Incorrect conclusions may be drawn if these differences are ignored. In this paper the authors recommend the use of a statistical technique such as analysis of covariance or standardisation to adjust the results for pretreatment differences
Randomised controlled trials (RCT s) are gold standard in the evaluation of treatment efficacy in me...
The paper develops methods for the comparison of randomized rules of the biased coin type for the se...
Background: It has long been advised to account for baseline covariates in the analysis of confirmat...
WOS: 000264851900013Objective: In many clinical and experimental trials, researchers assess the effe...
In the ideal, the effects caused by treatments are investigated in experiments that randomly assign ...
Objective: In many clinical and experimental trials, researchers assess the effect of treatment by m...
Randomized trials balance all covariates on average and are the gold standard for estimating treatme...
Supplementary files for article When randomisation is not good enough: Matching groups in interventi...
Large randomized controlled clinical trials are the gold standard to evaluate and compare the effect...
International audienceA general method is presented for randomising a block design while preserving ...
Randomised assignment of individuals to treatment and controls groups is often considered the gold s...
Randomised assignment of individuals to treatment and controls groups is often considered the gold s...
BACKGROUND: It has long been advised to account for baseline covariates in the analysis of confirmat...
Clinical trial investigators often record a great deal of baseline data on each patient at randomiza...
Experimentalists desire precise estimates of treatment effects and nearly always care about how trea...
Randomised controlled trials (RCT s) are gold standard in the evaluation of treatment efficacy in me...
The paper develops methods for the comparison of randomized rules of the biased coin type for the se...
Background: It has long been advised to account for baseline covariates in the analysis of confirmat...
WOS: 000264851900013Objective: In many clinical and experimental trials, researchers assess the effe...
In the ideal, the effects caused by treatments are investigated in experiments that randomly assign ...
Objective: In many clinical and experimental trials, researchers assess the effect of treatment by m...
Randomized trials balance all covariates on average and are the gold standard for estimating treatme...
Supplementary files for article When randomisation is not good enough: Matching groups in interventi...
Large randomized controlled clinical trials are the gold standard to evaluate and compare the effect...
International audienceA general method is presented for randomising a block design while preserving ...
Randomised assignment of individuals to treatment and controls groups is often considered the gold s...
Randomised assignment of individuals to treatment and controls groups is often considered the gold s...
BACKGROUND: It has long been advised to account for baseline covariates in the analysis of confirmat...
Clinical trial investigators often record a great deal of baseline data on each patient at randomiza...
Experimentalists desire precise estimates of treatment effects and nearly always care about how trea...
Randomised controlled trials (RCT s) are gold standard in the evaluation of treatment efficacy in me...
The paper develops methods for the comparison of randomized rules of the biased coin type for the se...
Background: It has long been advised to account for baseline covariates in the analysis of confirmat...