Rare-variant association testing for sequencing data with the sequence kernel association test.
On the C‐statistics for evaluating overall adequacy of risk prediction procedures with censored survival data
A simple C-statistic is presented which consistently estimates a conventional concordance measure which is free of censoring and results from numerical studies suggest that the new procedure performs well in finite sample.
Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models
Suppose that we are interested in establishing simple but reliable rules for predicting future t-year survivors through censored regression models. In this article we present inference procedures for…
Joint Effects of Common Genetic Variants on the Risk for Type 2 Diabetes in U.S. Men and Women of European Ancestry
A genetic risk score for type 2 diabetes was developed that combined data on 10 polymorphisms and the score improved risk prediction modestly when considered in addition to conventional risk factors.
Initial evaluation of coronary images from 320-detector row computed tomography
Initial 320-detector row coronary CT images have consistently excellent quality and iodinated contrast opacification and future work will focus on lowering contrast and radiation dose while maintaining image quality.
A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data
A class of measures for evaluating the incremental values of new markers, which includes the preceding two as special cases are considered, and a unified procedure for making inferences about measures in the class with censored event time data is presented.
Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve
Simulation studies suggest that AUC-based classification scores have performance comparable with logistic likelihood-based scores when the logistic regression model holds, and model fitting by maximizing the AUC should be considered when the goal is to derive a marker combination score for classification or prediction.
Analysis of randomized comparative clinical trial data for personalized treatment selections.
This article proposes a systematic, 2-stage estimation procedure for the subject-level treatment differences for future patient's disease management and treatment selections using a parametric or semiparametric method and a nonparametric function estimation method.
Semiparametric regression analysis for doubly censored data
We analyse doubly censored data using semiparametric transformation models. We provide inference procedures for the regression parameters and derive the asymptotic distributions of the proposed…
Rare Variant Association Testing for Sequencing Data Using the Sequence Kernel Association Test ( SKAT )
*These authors contributed equally to this work. 1 Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA 2 Department of Biostatistics, Harvard…