Results 291 to 300 of about 1,516,776 (324)
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Subgroup Analysis in Censored Linear Regression
Statistica Sinica, 2021Summary: In the presence of treatment heterogeneity due to unknown grouping information, standard methods that assume homogeneous treatment effects cannot capture the subgroup structure in the population. To accommodate such heterogeneity, we propose a concave fusion approach to identifying the subgroup structures and estimating the treatment effects ...
Yan, X, Yin, G, Zhao, X
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SSRN Electronic Journal, 2008
The FDA largely approves or disapproves drugs based on average treatment effects. Given widespread heterogeneity in treatment response, this approach can result in the approval of drugs with significant negative effects for identifiable subgroups (false positives) and in the non-approval of drugs with significant positive effects for identifiable ...
Anup Malani +2 more
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The FDA largely approves or disapproves drugs based on average treatment effects. Given widespread heterogeneity in treatment response, this approach can result in the approval of drugs with significant negative effects for identifiable subgroups (false positives) and in the non-approval of drugs with significant positive effects for identifiable ...
Anup Malani +2 more
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Chest, 2014
I am surprised by the published conclusions of Hung et al 1 in a recent issue of CHEST (August 2013). The authors’ stated meth ods are not adequate to support their conclusion that hyperimmune IV immunoglobulin (H-IVIG) ben efi ts mortality if given within 5 days to patients with severe 2009 infl uenza A(H1N1) infection. The primary outcome analysis of
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I am surprised by the published conclusions of Hung et al 1 in a recent issue of CHEST (August 2013). The authors’ stated meth ods are not adequate to support their conclusion that hyperimmune IV immunoglobulin (H-IVIG) ben efi ts mortality if given within 5 days to patients with severe 2009 infl uenza A(H1N1) infection. The primary outcome analysis of
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Causal mediation analysis with latent subgroups
Statistics in Medicine, 2021In biomedical studies, the causal mediation effect might be heterogeneous across individuals in the study population due to each study subject's unique characteristics. While individuals' mediation effects may differ from each other, it is often reasonable and more interpretable to assume that individuals belong to several distinct latent subgroups ...
WenWu Wang +4 more
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A Bayesian approach for subgroup analysis
Biometrical Journal, 2023AbstractSeveral penalization approaches have been developed to identify homogeneous subgroups based on a regression model with subject‐specific intercepts in subgroup analysis. These methods often apply concave penalty functions to pairwise comparisons of the intercepts, such that the subjects with similar intercept values are assigned to the same ...
Nan Li, Wensheng Zhu
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Subgroup analysis in MS trials
Multiple Sclerosis Journal, 2016Subgroup analysis is often conducted as a post-hoc evaluation of clinical trials. The aim of a subgroup analysis is the evaluation of the treatment effect that was tested in the trial, in a specific subgroups of patients. It can be run both on positive trials (to provide information about patients receiving the highest benefit from the treatment) and ...
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Hierarchical Bayes approach for subgroup analysis
Statistical Methods in Medical Research, 2017In clinical data analysis, both treatment effect estimation and consistency assessment are important for a better understanding of the drug efficacy for the benefit of subjects in individual subgroups. The linear mixed-effects model has been used for subgroup analysis to describe treatment differences among subgroups with great flexibility.
Yu-Yi, Hsu +2 more
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Multiplicity issues in exploratory subgroup analysis
Journal of Biopharmaceutical Statistics, 2017The general topic of subgroup identification has attracted much attention in the clinical trial literature due to its important role in the development of tailored therapies and personalized medicine. Subgroup search methods are commonly used in late-phase clinical trials to identify subsets of the trial population with certain desirable ...
Ilya, Lipkovich +3 more
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Prasugrel STEMI subgroup analysis
The Lancet, 2009Asit Baran, Shil, Maureen P, Strohm
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1990
There are three main reasons for sorting a data set. You may simply want to produce a printed list in sorted order (as in the exhibits of the previous chapter). Certain “data set operations” such as merging and updating data sets, not discussed in this book, require sorted data sets.
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There are three main reasons for sorting a data set. You may simply want to produce a printed list in sorted order (as in the exhibits of the previous chapter). Certain “data set operations” such as merging and updating data sets, not discussed in this book, require sorted data sets.
openaire +1 more source