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Updated: Jun 14, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Practical issues in building risk-predicting models for complex diseases
Jia Kang1, Judy Cho, Hongyu Zhao
1Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.
Abstract:
Recent genome-wide association studies have identified many genetic variants affecting complex human diseases. It is of great interest to build disease risk prediction models based on these data. In this article, we first discuss statistical challenges in using genome-wide association data for risk predictions, and then review the findings from the literature on this topic. We also demonstrate the performance of different methods through both simulation studies and application to real-world data.
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