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2. Coping with family structure in genome-wide association studies: a comparative evaluation
3. Scoring Model Predictions using Cross-Validation
4. R codes for "Sparse Vector Autoregressive Modeling" by Davis, Zang and Zheng (2016)
5. GLMLE: graph-limit enabled fast computation for fitting exponential random graph models to large social networks
6. A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traits
7. A partition-based approach to identify gene-environment interactions in genome wide association studies
8. Considering interactive effects in the identification of influential regions with extremely rare variants via fixed bin approach
9. Correction: A dual clustering framework for association screening with whole genome sequencing data and longitudinal traits
10. Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statistics
11. Fit GFuseTLP penalized conditional logistic regression model for high-dimensional one-to- one matched case-control data
12. Source codes for GLMLE algorithm
13. A Practical Guide to Measuring Social Structure Using Indirectly Observed Network Data
14. Bayesian hierarchical graph-structured model for pathway analysis using gene expression data
15. Latent demographic profile estimation in hard-to-reach groups
16. Surveying Hard-to-Reach Groups Through Sampled Respondents in a Social Network
17. Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approach
18. Identifying influential regions in extremely rare variants using a fixed-bin approach
19. Identifying rare disease variants in the Genetic Analysis Workshop 17 simulated data: a comparison of several statistical approaches
20. New insights into old methods for identifying causal rare variants
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