Cox FR LRT: a Gene-based Association Method for Censored Traits Via Functional Regressions
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This document describes a R package to implement Cox FR LRT statistics proposed in Fan et al. (2015). The Cox FR LRT refers to Cox Functional Regression Likelihood Test, based on fixed effect Cox proportional hazard models using functional regression to perform gene-based association analysis of survival traits while adjusting for covariates. Section 2 briefly describes the installation of the program. Section 3 explains how to run the program using one example. Section 4 offers explanation of the results and warnings to use the programs. Section 5 provides some suggestions and parameter choices for real data analysis. The theoretical basis for this program is given in our research papers in References. Please refer to the reference if you use the program in any published work. In case of suggestions and questions and/or problems, you can contact us via e-mail (fanr@mail.nih.gov).
[1] D. Weeks,et al. Gene‐Based Association Analysis for Censored Traits Via Fixed Effect Functional Regressions , 2016, Genetic epidemiology.
[2] Alexander F. Wilson,et al. Generalized Functional Linear Models for Gene‐Based Case‐Control Association Studies , 2014, Genetic epidemiology.
[3] Momiao Xiong,et al. Functional Linear Models for Association Analysis of Quantitative Traits , 2013, Genetic epidemiology.