Assessing effects of disease genes and gene‐environment interactions: the case‐spouse design and the counterfactual‐control analysis

由 Lee, Wen‐Chung
出版 2006

Assessing Causal Mechanistic Interactions: A Peril Ratio Index of Synergy Based on Multiplicativity

由 Lee, Wen-Chung
出版 2013

Detecting and correcting the bias of unmeasured factors using perturbation analysis: a data-mining approach

由 Lee, Wen-Chung
出版 2014

Estimation of a Common Effect Parameter from Follow-Up Data When There Is No Mechanistic Interaction

由 Lee, Wen-Chung
出版 2014

Excess Relative Risk as an Effect Measure in Case-Control Studies of Rare Diseases

由 Lee, Wen-Chung
發表在 PLoS One (2015)

Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases

由 Lee, Wen-Chung
發表在 Sci Rep (2016)

Sharp bounds on sufficient-cause interactions under the assumption of no redundancy

由 Lee, Wen-Chung
發表在 BMC Med Res Methodol (2017)

Health outcome prediction using multiple perturbations

由 Lee, Wen-Chung
發表在 Medicine (Baltimore) (2020)

Attributing diseases to multiple pathways: a causal-pie modeling approach

由 Chen, Christine, Lee, Wen-Chung
發表在 Clin Epidemiol (2018)

Incorporating prior knowledge to facilitate discoveries in a genome-wide association study on age-related macular degeneration

由 Lin, Wan-Yu, Lee, Wen-Chung
出版 2010

Discovering joint associations between disease and gene pairs with a novel similarity test

由 Lin, Wan-Yu, Lee, Wen-Chung
出版 2010

Two-Way Minimization: A Novel Treatment Allocation Method for Small Trials

由 Chen, Lan-Hsin, Lee, Wen-Chung
出版 2011

Presenting the Uncertainties of Odds Ratios Using Empirical-Bayes Prediction Intervals

由 Lin, Wan-Yu, Lee, Wen-Chung
出版 2012

Improving Power of Genome-Wide Association Studies with Weighted False Discovery Rate Control and Prioritized Subset Analysis

由 Lin, Wan-Yu, Lee, Wen-Chung
出版 2012

Alternative Performance Measures for Prediction Models

由 Wu, Yun-Chun, Lee, Wen-Chung
出版 2014

Detecting a Weak Association by Testing its Multiple Perturbations: a Data Mining Approach

由 Lo, Min-Tzu, Lee, Wen-Chung
出版 2014

A Permutation Method to Assess Heterogeneity in External Validation for Risk Prediction Models

由 Wang, Ling-Yi, Lee, Wen-Chung
發表在 PLoS One (2015)

Testing for Mechanistic Interactions in Long-Term Follow-Up Studies

由 Lin, Jui-Hsiang, Lee, Wen-Chung
發表在 PLoS One (2015)

One-step extrapolation of the prediction performance of a gene signature derived from a small study

由 Wang, Ling-Yi, Lee, Wen-Chung
發表在 BMJ Open (2015)

Importance of presenting the variability of the false discovery rate control

由 Lin, Yi-Ting, Lee, Wen-Chung
發表在 BMC Genet (2015)