Timothy Shin Heng Mak

Polygenic scores via penalized regression on summary statistics

Pak Chung Sham, Timothy Shin Heng Mak, Robert Milan Porsch, 2016, bioRxiv.

Understanding and quantifying uncertainty due to multiple biases in meta-analyses of observational studies

Timothy Shin Heng Mak, T. Mak, 2013 .

LFMD: a new likelihood-based method to detect low-frequency mutations without molecular tags

Xiao Liu, Xun Xu, Timothy Shin Heng Mak, 2019 .

Polygenic scores for UK Biobank scale data

Timothy Shin Heng Mak, Shing Wan Choi, Pak C. Sham, 2018 .

A powerful conditional gene‐based association approach implicated functionally important genes for schizophrenia

Tao Li, Pak Chung Sham, Henry C. M. Leung, 2018, Bioinform..

Polygenic scores via penalized regression on summary statistics

Timothy Shin Heng Mak, Shing Wan Choi, Xueya Zhou, 2017 .

LFMD: detecting low-frequency mutations in high-depth genome sequencing data without molecular tags

Xun Xu, Xiuqing Zhang, Rui Ye, 2019, bioRxiv.

Local True Discovery Rate Weighted Polygenic Scores Using GWAS Summary Data

Pak Chung Sham, Timothy Shin Heng Mak, P. Sham, 2016, Behavior genetics.

Robust Bayesian Sensitivity Analysis for Case–Control Studies with Uncertain Exposure Misclassification Probabilities

Lesley Rushton, Nicky Best, Timothy Shin Heng Mak, 2015, The international journal of biostatistics.