Faculty

Institution

Unit

Venue

Di Wang

Assistant Professor

Medical College of Wisconsin

Affiliations

Faculty Collaboration Database

Di Wang is currently serving as a Faculty Collaboration Database Assistant Professor at Medical College of Wisconsin.

Honors

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Experiences

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Education

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Di Wang

Medical College of Wisconsin

Assistant Professor

You can click a keyword to filter the displayed items

statistics public health model selection applied statistics diabetes statistical methodology diabetes care diabetes research prognostic evaluation prediction modelling medicine health sciences cardiology data integration health economics preventive healthcare health services research respiratory medicine computational statistics preventive medicine biomedical informatics machine learning research diabetes technology diabetes therapies cluster computing disaster medicine health systems reliability engineering statistical software quantitative management human exposure model comparison data validation data heterogeneity health care costs economic evaluation cost effectiveness prognosis biomedical data science kidney failure diabetic kidney disease renal function unsupervised machine learning rare event estimation reliability prediction failure prediction reliability modelling frailty lung function tobacco-exposed persons cross-validation statistical framework 2-year prospective study cox-nnet v2.0 large-scale emr data neural-network-based survival prediction type 2 time-varying predictors proportional hazards model fusion penalty healthcare center prediction models new time-to-event dataset neural network

Notable Scholarly Works

Notable Federal Grants

Collaborators

Health Care Provider Clustering Using Fusion Penalty in Quasi-Likelihood. Diabetes Care (2025)

health careclusteringunsupervised machine learninghealth systemsstatistics

Kullback-Leibler-Based Discrete Failure Time Models for Integration of Published Prediction Models With New Time-To-Event Dataset. Ann Appl Stat. (2025)

quantitative managementdata scienceapplied probabilityforecastingrare event estimationprediction modelsmodel selectionprediction modellingstatisticsstatistical methodologyapplied statisticsreliability engineeringstatistical modelspredictive analyticsreliability modellingnew time-to-event datasetstatistical softwarereliability predictionfailure predictionsurvival analysis

Neural Network for Correlated Survival Outcomes Using Frailty Model. J Data Sci. (2025)

biostatisticsprognostic evaluationneural networkfrailtydeath studiesneural network (machine learning)survival analysis

Development of Clinical Prediction Models for Renal and Cardiovascular Outcomes and Mortality in Patients With Type 2 Diabetes and Chronic Kidney Disease Using Time-Varying Predictors. Biometrics (2023)

diabetes carebiostatisticsrenal functionpredictive analyticskidney failurediabetic kidney diseasetype 2time-varying predictorsdiabetes technologydiabetes researchurologydiabeteschronic kidney diseasediabetes therapies

Healthcare Center Clustering for Cox's Proportional Hazards Model by Fusion Penalty. Stat Med (2023)

biostatisticshealth careclusteringsurvival analysisfusion penaltyproportional hazards modeldisaster medicinecluster computingemergency medicinehealthcare center

A Cross-Validation Statistical Framework for Asymmetric Data Integration. N Engl J Med (2022)

statistical methodologydata integrationmodel comparisondata heterogeneitycross-validation statistical frameworkdata validationcomputational statisticsmodel selectionapplied statisticsstatistics

Bronchodilators in Tobacco-Exposed Persons With Symptoms and Preserved Lung Function. New England Journal of Medicine (2022)

MeiLan K. HanWen YeDi WangEmily WhiteMehrdad ArjomandiIgor Z. BarjaktarevicStacey-Ann BrownRussell G. BuhrAlejandro P. ComellasChristopher B. CooperGerard J. CrinerMark T. DransfieldFrank DrescherRodney J. FolzNadia N. HanselRavi KalhanRobert J. KanerRichard E. KannerJerry A. KrishnanStephen C. LazarusVeeranna MaddipatiFernando J. MartinezAnne MathewsCatherine MeldrumCharlene McEvoyToru NyunoyaLinda RogersWilliam W. StringerChristine H. WendtRobert A. WiseStephen R. WisniewskiFrank C. SciurbaPrescott G. Woodruff

public healthcardiologylung functionhuman exposurerespiratory medicinemedicinehealth sciencestobacco-exposed persons

Cox-Nnet V2.0: Improved Neural-Network-Based Survival Prediction Extended to Large-Scale Emr Data. Bioinformatics (2022)

biostatisticspredictive analyticsbiomedical informaticsbiomedical data scienceprognostic evaluationprognosisneural-network-based survival predictionneural network (machine learning)machine learning researchcox-nnet v2.0data sciencelarge-scale emr dataprediction modellingsurvival analysismachine learning

Bioinformatics. Clinical & Translational Science Institute (2021)

Cost-Effectiveness of the National Diabetes Prevention Program: A Real-World, 2-Year Prospective Study. Diabetes Care

health policypublic healthhealth services researchdiabetes carecost effectivenesspreventive healthcarepreventive medicinediabetes researchoutcomes researchhealth economicshealth care costs2-year prospective studyeconomic evaluationdiabetes

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Di Wang

Assistant Professor

Medical College of Wisconsin

Affiliations

Faculty Collaboration Database

Di Wang is currently serving as a Faculty Collaboration Database Assistant Professor at Medical College of Wisconsin.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Di Wang

Medical College of Wisconsin

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Health Care Provider Clustering Using Fusion Penalty in Quasi-Likelihood. Diabetes Care (2025)

health careclusteringunsupervised machine learninghealth systemsstatistics

Kullback-Leibler-Based Discrete Failure Time Models for Integration of Published Prediction Models With New Time-To-Event Dataset. Ann Appl Stat. (2025)

Neural Network for Correlated Survival Outcomes Using Frailty Model. J Data Sci. (2025)

biostatisticsprognostic evaluationneural networkfrailtydeath studiesneural network (machine learning)survival analysis

Healthcare Center Clustering for Cox's Proportional Hazards Model by Fusion Penalty. Stat Med (2023)

biostatisticshealth careclusteringsurvival analysisfusion penaltyproportional hazards modeldisaster medicinecluster computingemergency medicinehealthcare center

A Cross-Validation Statistical Framework for Asymmetric Data Integration. N Engl J Med (2022)

statistical methodologydata integrationmodel comparisondata heterogeneitycross-validation statistical frameworkdata validationcomputational statisticsmodel selectionapplied statisticsstatistics

Bronchodilators in Tobacco-Exposed Persons With Symptoms and Preserved Lung Function. New England Journal of Medicine (2022)

public healthcardiologylung functionhuman exposurerespiratory medicinemedicinehealth sciencestobacco-exposed persons

Cox-Nnet V2.0: Improved Neural-Network-Based Survival Prediction Extended to Large-Scale Emr Data. Bioinformatics (2022)

Bioinformatics. Clinical & Translational Science Institute (2021)

Cost-Effectiveness of the National Diabetes Prevention Program: A Real-World, 2-Year Prospective Study. Diabetes Care

1
10 / page

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