Asymptotic Properties of Covariate-Adjusted Adaptive Designs

Details Asymptotic Properties of Covariate-Adjusted Adaptive Designs Asymptotic Properties of Covariate-Adjusted Adaptive Designs

2006-10-17

arxiv.org/abs/math/0610518v1

The Annals of Statistics, Vol. 35(2007):1166-1182

Mathematics

Statistics Theory

Scientific paper

10.1214/009053606000001424

Response-adaptive designs have been extensively studied and used in clinical trials. However, there is a lack of a comprehensive study of response-adaptive designs that include covariates, despite their importance in clinical experiments. Because the allocation scheme and the estimation of parameters are affected by both the responses and the covariates, covariate-adjusted response-adaptive (CARA) designs are very complex to formulate. In this paper, we overcome the technical hurdles and lay out a framework for general CARA designs for the allocation of subjects to $K (\geq 2)$ treatments. The asymptotic properties are studied under certain widely satisfied conditions. The proposed CARA designs can be applied to generalized linear models. Two important special cases, the linear model and the logistic regression model, are considered in detail.

Affiliated with

Also associated with

No associations

Rating

Asymptotic Properties of Covariate-Adjusted Adaptive Designs does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Asymptotic Properties of Covariate-Adjusted Adaptive Designs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Asymptotic Properties of Covariate-Adjusted Adaptive Designs will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-390938