Kai Yang, PhD

Assistant Professor

Locations

MEB M1404
Biostatistics

Contact Information

Education

PhD, Biostatistics, University of Florida, Gainesville, FL, 2021
MS, Biostatistics, University of Florida, Gainesville, FL, 2019
BS, Mathematics, Nanjing University, Nanjing, China, 2016

Biography

Dr. Kai Yang is an Assistant Professor in Biostatistics at the Medical College of Wisconsin. He joined the Division of Biostatistics in the fall of 2021. His major methodological research interests include spatial epidemiology, online monitoring of medical outcomes, and quality control and improvement. He is particularly interested in developing statistical methodologies and computational tools for nonparametric modeling and sequential monitoring of large-scale spatio-temporal data. His collaborative research interests are focused on infectious diseases, cancers and cardiovascular diseases. He has close collaborations with several research groups at MCW including the Department of Orthopaedic Surgery, Department of Physical Medicine and Rehabilitation and Department of Surgery.

Research Areas of Interest

Environmental Monitoring
Image Processing
Longitudinal Data Analysis
Spatial Epidemiology
Spatio-Temporal Modeling
Statistical Process Control

Research Interests

Dr. Yang’s research interests include spatio-temporal data analysis, statistical process control and image processing. He is particularly interested in developing statistical methodologies and computational tools for nonparametric modeling and sequential monitoring of spatio-temporal data. His collaborative research interests are focused on infectious diseases, cancers and cardiovascular diseases. He is a biostatistician for several research groups at MCW including the Department of Orthopaedic Surgery, Department of Physical Medicine and Rehabilitation and Division of Surgical Oncology.

Correlation of transverse rotation of the spine using surface topography and 3D reconstructive radiography in children with idiopathic scoliosis.

(Patel M, Liu XC, Tassone C, Escott B, Yang K, Thometz J.) Spine Deform. 2024 Feb 26 PMID: 38403800 SCOPUS ID: 2-s2.0-85185949083 02/26/2024
3D Back Contour Metrics in Predicting Idiopathic Scoliosis Progression: Retrospective Cohort Analysis, Case Series Report and Proof of Concept.

(Patel M, Liu XC, Yang K, Tassone C, Escott B, Thometz J.) Children (Basel). 2024 Jan 26;11(2) PMID: 38397270 PMCID: PMC10886742 SCOPUS ID: 2-s2.0-85185907340 02/24/2024
SpTe2M: An R package for nonparametric modeling and monitoring of spatiotemporal data

(Yang K, Qiu P.) Journal of Quality Technology. 2024;56(2):140-156 SCOPUS ID: 2-s2.0-85178180323 01/01/2024
Spatio-temporal process monitoring using exponentially weighted spatial LASSO

(Qiu P, Yang K.) Journal of Quality Technology. 2023;55(2):163-180 SCOPUS ID: 2-s2.0-85131423825 01/01/2023
Exploring the relationship between DNA methylation age measures and psychoneurological symptoms in women with early-stage breast cancer.

(Yang GS, Yang K, Weaver MT, Lynch Kelly D, Dorsey SG, Jackson-Cook CK, Lyon DE.) Support Care Cancer. 2022 Dec 20;31(1):65 PMID: 36538110 12/21/2022
Intergrader agreement of foveal cone topography measured using adaptive optics scanning light ophthalmoscopy.

(Wynne N, Cava JA, Gaffney M, Heitkotter H, Scheidt A, Reiniger JL, Grieshop J, Yang K, Harmening WM, Cooper RF, Carroll J.) Biomed Opt Express. 2022 Aug 01;13(8):4445-4454 PMID: 36032569 PMCID: PMC9408252 08/30/2022
A three-step local smoothing approach for estimating the mean and covariance functions of spatio-temporal Data

(Yang K, Qiu P.) Annals of the Institute of Statistical Mathematics. February 2022;74(1):49-68 SCOPUS ID: 2-s2.0-85103061571 02/01/2022
Design variable-sampling control charts using covariate information

(Yang K, Qiu P.) IISE Transactions. 2022;54(5):505-519 SCOPUS ID: 2-s2.0-85104748290 01/01/2022
Effective disease surveillance by using covariate information.

(Qiu P, Yang K.) Stat Med. 2021 Nov 20;40(26):5725-5745 PMID: 34636435 SCOPUS ID: 2-s2.0-85111484363 10/13/2021
Response by Allen et al to Letter Regarding Article, Diagnostic Performance of High-Sensitivity Cardiac Troponin T Strategies and Clinical Variables in a Multisite US Cohort.

(Allen BR, Christenson RH, Cohen SA, Weaver MT, Yang K, Mahler SA.) Circulation. 2021 Nov 09;144(19):e285-e286 PMID: 34748395 SCOPUS ID: 2-s2.0-85121597662 11/09/2021
Diagnostic Performance of High-Sensitivity Cardiac Troponin T Strategies and Clinical Variables in a Multisite US Cohort.

(Allen BR, Christenson RH, Cohen SA, Nowak R, Wilkerson RG, Mumma B, Madsen T, McCord J, Huis In't Veld M, Massoomi M, Stopyra JP, Montero C, Weaver MT, Yang K, Mahler SA.) Circulation. 2021 Apr 27;143(17):1659-1672 PMID: 33474976 SCOPUS ID: 2-s2.0-85104957737 01/22/2021
Adaptive Process Monitoring Using Covariate Information

(Yang K, Qiu P.) Technometrics. 2021;63(3):313-328 SCOPUS ID: 2-s2.0-85087775505 01/01/2021