A scalable multi ‐resolution spatio‐temporal model for brain activation and connectivity in fMRI data
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - January 22, 2018 Category: Biotechnology Source Type: research
Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - January 22, 2018 Category: Biotechnology Source Type: research
A utility ‐based design for randomized comparative trials with ordinal outcomes and prognostic subgroups
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - January 22, 2018 Category: Biotechnology Source Type: research
Subtype classification and heterogeneous prognosis model construction in precision medicine
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - January 22, 2018 Category: Biotechnology Source Type: research
A multi ‐source adaptive platform design for testing sequential combinatorial therapeutic strategies
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - January 22, 2018 Category: Biotechnology Source Type: research
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Biometrics, Ahead of Print. (Source: Biometrics)
Source: Biometrics - January 22, 2018 Category: Biotechnology Source Type: research
A multi ‐source adaptive platform design for testing sequential combinatorial therapeutic strategies
This article describes adaptive design methodology aimed at boosting statistical power through Bayesian modeling and adaptive randomization. Specifically, the design uses multi‐source exchangeability models to combine data from multiple segments and adaptive randomization to achieve information balance within a segment. When compared to the PREVAIL II design, we demonstrate that our proposed adaptive platform design improves power by as much as 51% with limited type‐I error inflation. Further, the adaptive platform effectuates more balance with respect to the distribution of acquired information among study arms, with ...
Source: Biometrics - January 22, 2018 Category: Biotechnology Authors: Alexander M. Kaizer, Brian P. Hobbs, Joseph S. Koopmeiners Tags: ORIGINAL ARTICLE Source Type: research
Subtype classification and heterogeneous prognosis model construction in precision medicine
Summary
Common diseases including cancer are heterogeneous. It is important to discover disease subtypes and identify both shared and unique risk factors for different disease subtypes. The advent of high‐throughput technologies enriches the data to achieve this goal, if necessary statistical methods are developed. Existing methods can accommodate both heterogeneity identification and variable selection under parametric models, but for survival analysis, the commonly used Cox model is semiparametric. Although finite‐mixture Cox model has been proposed to address heterogeneity in survival analysis, variable selection ha...
Source: Biometrics - January 22, 2018 Category: Biotechnology Authors: Na You, Shun He, Xueqin Wang, Junxian Zhu, Heping Zhang Tags: ORIGINAL ARTICLE Source Type: research
A utility ‐based design for randomized comparative trials with ordinal outcomes and prognostic subgroups
Summary
A design is proposed for randomized comparative trials with ordinal outcomes and prognostic subgroups. The design accounts for patient heterogeneity by allowing possibly different comparative conclusions within subgroups. The comparative testing criterion is based on utilities for the levels of the ordinal outcome and a Bayesian probability model. Designs based on two alternative models that include treatment‐subgroup interactions are considered, the proportional odds model and a non‐proportional odds model with a hierarchical prior that shrinks toward the proportional odds model. A third design that assumes ho...
Source: Biometrics - January 22, 2018 Category: Biotechnology Authors: Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo, Wayne L. Hofstetter Tags: ORIGINAL ARTICLE Source Type: research
Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach
Summary
We consider estimating the effect that discontinuing a beneficial treatment will have on the distribution of a time to event clinical outcome, and in particular assessing whether there is a period of time over which the beneficial effect may continue after discontinuation. There are two major challenges. The first is to make a distinction between mandatory discontinuation, where by necessity treatment has to be terminated and optional discontinuation which is decided by the preference of the patient or physician. The innovation in this article is to cast the intervention in the form of a dynamic regime “terminate...
Source: Biometrics - January 22, 2018 Category: Biotechnology Authors: Shu Yang, Anastasios A. Tsiatis, Michael Blazing Tags: ORIGINAL ARTICLE Source Type: research
Regression analysis for secondary response variable in a case ‐cohort study
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - December 29, 2017 Category: Biotechnology Source Type: research
