Spatially-Explicit Simulation Modeling of Ecological Response to Climate Change: Methodological Considerations in Predicting Shifting Population Dynamics of Infectious Disease Vectors. - Radhika Dhingra; Violeta Jimenez; Howard H. Chang; Manoj Gambhir; Joshua S. Fu; Yang Liu 037; Justin V. Remais (ISPRS Int. J. Geo Inf., 2013)

Multi-TGDR, a multi-class regularization method, identifies the metabolic profiles of hepatocellular carcinoma and cirrhosis infected with hepatitis B or hepatitis C virus. - Suyan Tian; Howard H. Chang; Chi Wang; Jing Jiang; Xiaomei Wang; Junqi Niu (BMC Bioinform., 2014)

A Bioequivalence Test by the Direct Comparison of Concentration-versus-Time Curves Using Local Polynomial Smoothers. - Suyan Tian; Howard H. Chang; Dana Orange; Jingkai Gu; Mayte Suárez-Fariñas (Comput. Math. Methods Medicine, 2016)

Dynamic communicability and epidemic spread: a case study on an empirical dynamic contact network. - Isabel Chen; Michele Benzi; Howard H. Chang; Vicki Stover Hertzberg (J. Complex Networks, 2017)

To select relevant features for longitudinal gene expression data by extending a pathway analysis method. - Suyan Tian; Chi Wang 003; Howard H. Chang (F1000Research, 2018)

A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time. - Suyan Tian; Chi Wang 003; Howard H. Chang (BMC Medical Informatics Decis. Mak., 2018)

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm. - Rui Duan 004; Mary Regina Boland; Zixuan Liu; Yue Liu; Howard H. Chang; Hua Xu 001; Haitao Chu; Christopher H. Schmid; Christopher B. Forrest; John H. Holmes; Martijn J. Schuemie; Jesse A. Berlin; et al. (J. Am. Medical Informatics Assoc., 2020)

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. - Rui Duan 004; Chongliang Luo; Martijn J. Schuemie; Jiayi Tong; C. Jason Liang; Howard H. Chang; Mary Regina Boland; Jiang Bian 001; Hua Xu 001; John H. Holmes; Christopher B. Forrest; Sally C. Morton; et al. (J. Am. Medical Informatics Assoc., 2020)

The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures. - Qu Cheng; Philip A. Collender; Alexandra K. Heaney; Xintong Li; Rohini Dasan; Charles Li; Joseph A. Lewnard; Jonathan L. Zelner; Song Liang; Howard H. Chang; Lance A. Waller; Benjamin A. Lopman; et al. (PLoS Comput. Biol., 2020)

Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM2.5 Prediction. - Behzad Kianian; Yang Liu 037; Howard H. Chang (Remote. Sens., 2021)

Optimizing laboratory-based surveillance networks for monitoring multi-genotype or multi-serotype infections. - Qu Cheng; Philip A. Collender; Alexandra K. Heaney; Aidan Mcloughlin; Yang Yang; Yuzi Zhang; Jennifer R. Head; Rohini Dasan; Song Liang; Qiang Lv; Yaqiong Liu; Changhong Yang; et al. (PLoS Comput. Biol., 2022)