Zobrazeno 1 - 10
of 306
pro vyhledávání: '"Liu Hanzhong"'
Randomized clinical trials are the gold standard for analyzing treatment effects, but high costs and ethical concerns can limit recruitment, potentially leading to invalid inferences. Incorporating external trial data with similar characteristics int
Externí odkaz:
http://arxiv.org/abs/2409.04126
Randomized experiments are the gold standard for estimating treatment effects, yet network interference challenges the validity of traditional estimators by violating the stable unit treatment value assumption and introducing bias. While cluster rand
Externí odkaz:
http://arxiv.org/abs/2408.17205
Randomized experiments are the gold standard for investigating causal relationships, with comparisons of potential outcomes under different treatment groups used to estimate treatment effects. However, outcomes with heavy-tailed distributions pose si
Externí odkaz:
http://arxiv.org/abs/2407.05001
Covariate-adaptive randomization is widely employed to balance baseline covariates in interventional studies such as clinical trials and experiments in development economics. Recent years have witnessed substantial progress in inference under covaria
Externí odkaz:
http://arxiv.org/abs/2405.18856
Publikováno v:
Polish Journal of Pathology, Vol 69, Iss 3, Pp 226-233 (2018)
Two middle-aged females presented with a mass located in the lateral quadrant of the breast. Both patients received modified radical surgery for breast cancer, radiotherapy, and chemotherapy and have been living without evidence of disease for more t
Externí odkaz:
https://doaj.org/article/95ccbbfd623242c28d802c2e2b656a04
The design-based finite-population asymptotic theory provides a normal approximation for the sampling distribution of the average treatment effect estimator in stratified randomized experiments. The asymptotic variance could be estimated by a Neyman-
Externí odkaz:
http://arxiv.org/abs/2401.16667
Randomization, as a key technique in clinical trials, can eliminate sources of bias and produce comparable treatment groups. In randomized experiments, the treatment effect is a parameter of general interest. Researchers have explored the validity of
Externí odkaz:
http://arxiv.org/abs/2312.01266
Interpretability is a key concern in estimating heterogeneous treatment effects using machine learning methods, especially for healthcare applications where high-stake decisions are often made. Inspired by the Predictive, Descriptive, Relevant framew
Externí odkaz:
http://arxiv.org/abs/2310.06746
Autor:
Lu, Xin, Liu, Hanzhong
Regression adjustment is widely used for the analysis of randomized experiments to improve the estimation efficiency of the treatment effect. This paper reexamines a weighted regression adjustment method termed as tyranny-of-the-minority (ToM), where
Externí odkaz:
http://arxiv.org/abs/2210.00261
The split-plot design arises from agricultural sciences with experimental units, also known as subplots, nested within groups known as whole plots. It assigns the whole-plot intervention by a cluster randomization at the whole-plot level and assigns
Externí odkaz:
http://arxiv.org/abs/2209.12385