Yuanjia Wang, PhD

  • Professor, Biostatistics (In Psychiatry)
Profile Headshot

Overview

Dr. Wang works on developing data-driven approaches to uncover complex relationships between biomarkers, clinical markers, environmental variables and health outcomes to assist studies of disease etiology, diagnostic capabilities and optimal treatments. Her methodological interests include machine learning, analytics for precision medicine, network analysis, and novel design and analysis of clinical trials and electronic health records. Her substantive applied research area includes psychiatric disorders and neurological disorders.

Academic Appointments

  • Professor, Biostatistics (In Psychiatry)

Gender

  • Female

Credentials & Experience

Education & Training

  • BA, 2001 Department of Statistics, Columbia University
  • PhD, 2005 Department of Statistics, Columbia University

Committees, Societies, Councils

Fellow, American Statistical Association

Honors & Awards

Calderone Research Prize for Junior Faculty, 2006Diversity Fellowship, 2009Tow Leadership Scholar, 2015

Research

Research Interests

  • Biostatistical Methods

Selected Publications

Wang Y, Ottman R, and Rabinowitz D A Method for Estimating Penetrance from Families Sampled for Linkage Analysis. Biometrics 62 1081-1088 2006

Yip N, Kawut SM, Lederer DJ, Wilt JS, Wang Y, Sternberg D, D'Ovidio

F, Sonett JR, Arcasoy SM Immunoglobulin G Levels Before and
After Lung Transplantation. Am J Respir Crit Care Med 173(8) 917-921 2006

Clark LN, Afridi S, Karlins E, Wang Y, Mejia-Santana H, Harris J,

Louis ED, Cote LJ, Andrews H, Fahn S, Waters C, Ford B, Frucht S,
Ottman R, and Marder K Case-Control Study of the Parkin Gene in Early Onset PD. Archives of Neurology 63(4) 548-552 2006

Clark LN, Wang Y, Karlins E, Saito L, Mejia-Santana H, Harris J,

Louis ED, Cote LJ, Andrews H, Fahn S, Waters C, Ford B, Frucht S,
Ottman R, and Marder K Frequency of LRRK2 Mutations in Early- and Late-onset Parkinson disease. Neurology 67(10) 1786-1791 2006

Yuanjia Wang, Yixin Fang, and Man Jin A Ridge Penalized

Principal-Components Approach Based on Heritability for
High-dimensional Data. Human Heredity To appear

Wang Y, Clark LN, Marder K, and Rabinowitz D Non-parametric

Estimation of Genotype-specific Age-at-onset Distributions From Censored Kin-cohort Data. Biometrika To appear