We model the treatment effect as an unknown functional curve of a weighted linear combination of time-dependent covariates. This method enables us to investigate covariate-specific treatment effects and make personalised treatment selection in a flexible fashion. We develop a method that combines local...
We achieve the first goal through estimating a covariate-specific treatment effect (CSTE) curve modeled as an unknown function of a weighted linear combination of all baseline covariates. The weight or the coefficient for each covariate is estimated by fitting a sparse semi-parametric logistic single...
Although superiority for lenvatinib in terms of overall survival cannot be shown based on the primary efficacy analysis, there are a number of reasons why lenvatinib may be superior to the standard-of-care treatment, sorafenib. First, the superiority of lenvatinib based on secondary end points of ...
To deal with nonproportionality in the Cox regression model, investigators usually assume that the treatment effect has some functional form. However, to do so may create a model misspecification problem because it is generally difficult to justify the specific parametric form chosen for the treatment...
Specifically, we compare average covariate-adjusted SPK- and KTA-specific survival curves (and 10-year area under the curve; ie, restricted mean survival time) to emulate a randomized clinical trial. Mean restricted mean kidney graft ... RS Sung,M Zhang,DE Schaubel,... - 《Transplantation》...
Mean survival time can be used to quantify both the patient-specific and average effect of a time-dependent treatment. In the second project, we propose semiparametric methods for estimating the mean difference between treatment-free and post-treatment restricted mean lifetime. Treatment-free survival...
Monte Carlo methods are used to study the efficacy of multivariate matched sampling and regression adjustment for controlling bias due to specific matching... DB Rubin - 《Journal of the American Statistical Association》 被引量: 1417发表: 1979年 GENETIC MATCHING FOR ESTIMATING CAUSAL EFFECTS: A GE...
(1995) have developed a causal approach to the analysis of interdependent processes that also works in the case of interdependence, too. For example, if two interdependent processes,YtAandYtB, are given, a change inYtAat any (specific) point in timet′ may be modeled as being depend on ...
A 1991 study by Pinto and Priest demonstrated the effectiveness of advertisements employing moderate levels of guilt in inducing guilt responses in subjects. Because individuals' responses to guilt are often influenced by their specific personality characteristics, researchers have pointed to the potential ...
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