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Implementing optimal allocation in sequential binary response experiments

Tymofyeyev, Yevgen; Rosenberger, William F.; Hu, Feifang - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 224-234

Persistent link: https://www.econbiz.de/10003431117

Implementing Optimal Allocation in Sequential Binary Response Experiments

Tymofyeyev, Yevgen; Rosenberger, William F.; Hu, Feifang - In: Journal of the American Statistical Association 102 (2007) March, pp. 224-234

Persistent link: https://www.econbiz.de/10005532836

Optimality, variability, power : evaluating response-adaptive randomization procedures for treatment comparisons

Hu, Feifang; Rosenberger, William F. - In: Journal of the American Statistical Association : JASA 98 (2003) 463, pp. 671-678

Persistent link: https://www.econbiz.de/10001828690

Theory and Methods - Optimality, Variability, Power: Evaluating Response-Adaptive Randomization Procedures for Treatment Comparisons

Hu, Feifang; Rosenberger, William F. - In: Journal of the American Statistical Association : JASA 98 (2003) 463, pp. 671-678

Persistent link: https://www.econbiz.de/10006612037

Optimality, Variability, Power: Evaluating Response-Adaptive Randomization Procedures for Treatment Comparisons

Hu, Feifang; Rosenberger, William F. - In: Journal of the American Statistical Association 98 (2003) 1, pp. 671-678

Persistent link: https://www.econbiz.de/10005532593

Out-of-sample equity premium prediction : A scenario analysis approach

Tang, Xiaoxiao; Hu, Feifang; Wang, Peiming - In: Journal of Forecasting 37 (2018) 5, pp. 604-626

Persistent link: https://www.econbiz.de/10012081988

Theory and Methods - Markov Chain Marginal Bootstrap

He, Xuming; Hu, Feifang - In: Journal of the American Statistical Association : JASA 97 (2002) 459, pp. 783-795

Persistent link: https://www.econbiz.de/10006615682

Theory and Methods - Comment - Implementation of Estimating Function-Based Inference Procedures With Markov Chain Monte Carlo Samplers

He, Xuming; Hu, Feifang - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 889

Persistent link: https://www.econbiz.de/10007861943

An Adaptive Design for Multi-Arm Clinical Trials

Bai, Z. D.; Hu, Feifang; Shen, Liang - In: Journal of Multivariate Analysis 81 (2002) 1, pp. 1-18

The randomized play-the-winner (RPW) rule is very useful in clinical trials for patient allocation with two treatments. L. J. Wei (1979, Ann. Statist.7, 291-296) introduces the generalized Friedman's urn (GFU) model to clinical trials of K treatments (as an extension of the RPW). In this paper,...

Persistent link: https://www.econbiz.de/10005006592

Efficiency and Robustness of a Resampling M-Estimator in the Linear Model

Hu, Feifang - In: Journal of Multivariate Analysis 78 (2001) 2, pp. 252-271

In the literature, there are basically two kinds of resampling methods for least squares estimation in linear models; the E-type (the efficient ones like the classical bootstrap), which is more efficient when error variables are homogeneous, and the R-type (the robust ones like the jackknife),...

Persistent link: https://www.econbiz.de/10005093847