Researcher Profile

Researcher Profile

Ming Wang, MS, PhD

Ming Wang, MS, PhD

Associate Professor, Department of Public Health Sciences
Division of Biostatistics and Bioinformatics
Scientific Program:Cancer Control
muw22@psu.edu
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Research Interests

The research of Dr. Ming Wang focuses on the development of statistical methods for longitudinal data analysis, survival data analysis, spatial statistics, high-dimensional data, risk prediction and model diagnosis.

These statistical methods have been implemented into a range of biomedical problems, such as biomarker studies, outcome analysis, genetic expression data and environmental research.

By applying these methods for rigorous analysis, Dr. Wang's research team closely collaborate with clinicians/physicians to better understand the biomedical mechanisms that underlie various human diseases, including cancer, kidney, cardiovascular and neurodegenerative disease, among others. 

  • Pediatrics
  • Craniocerebral Trauma
  • Exercise
  • Peripheral Arterial Disease
  • Biomarkers
  • Transplants
  • Acute Myeloid Leukemia
  • Thrombosis
  • Parkinson Disease
  • Walking
  • T-Lymphocytes
  • Prostatic Neoplasms

Recent Publications

2019

Li, Z, Chinchilli, VM & Wang, M 2020, 'A time-varying Bayesian joint hierarchical copula model for analysing recurrent events and a terminal event: an application to the Cardiovascular Health Study', Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 69, no. 1, pp. 151-166. https://doi.org/10.1111/rssc.12382
Wang, M, Long, Q, Chen, C & Zhang, L 2020, 'Assessing predictive accuracy of survival regressions subject to nonindependent censoring', Statistics in Medicine, vol. 39, no. 4, pp. 469-480. https://doi.org/10.1002/sim.8420
Gaballa, D, Bezinover, D, Kadry, Z, Eyster, E, Wang, M, Northup, PG & Stine, JG 2019, 'Development of a Model to Predict Portal Vein Thrombosis in Liver Transplant Candidates: The Portal Vein Thrombosis Risk Index', Liver Transplantation, vol. 25, no. 12, pp. 1747-1755. https://doi.org/10.1002/lt.25630
Chen, C, Shen, B, Zhang, L, Xue, Y & Wang, M 2019, 'Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness', Biometrics, vol. 75, no. 3, pp. 950-965. https://doi.org/10.1111/biom.13060
Chen, C, Shen, B, Zhang, L, Xue, Y & Wang, M 2019, 'Empirical‐likelihood‐based criteria for model selection on marginal analysis of longitudinal data with dropout missingness', Biometrics, pp. 1-16. https://doi.org/10.1111/biom.13060
Jia, B, Zhao, C, Rakszawski, KL, Claxton, D, Ehmann, WC, Rybka, W, Mineishi, S, Wang, M, Shike, H, Bayerl, M, Sivik, JM, Schell, T, Drabick, J, Hohl, R & Zheng, H 2019, 'Eomes+T-betlow CD8+ T cells are functionally impaired and are associated with poor clinical outcome in patients with acute myeloid leukemia', Cancer Research, vol. 79, no. 7, pp. 1635-1645. https://doi.org/10.1158/0008-5472.CAN-18-3107
for the Pediatric Brain Injury Research Network (PediBIRN) Investigators 2019, 'Estimating the probability of abusive head trauma after abuse evaluation', Child Abuse and Neglect, vol. 88, pp. 266-274. https://doi.org/10.1016/j.chiabu.2018.11.015
Zhang, L, Chen, Y, Zhang, LJ, Wang, M, Chang, DL, Wan, WW, Zhang, BX, Zhang, WG & Chen, XP 2019, 'HBV induces different responses of the hepatocytes and oval cells during HBV-related hepatic cirrhosis', Cancer Letters, vol. 443, pp. 47-55. https://doi.org/10.1016/j.canlet.2018.11.020
Bezinover, D, Navabi, S, Wang, M, Li, Z, William, M & Stine, JG 2019, 'Hyponatremia Is Protective Against the Development of Portal Vein Thrombosis in Patients Undergoing Liver Transplant', Transplantation proceedings, vol. 51, no. 6, pp. 1880-1886. https://doi.org/10.1016/j.transproceed.2019.05.014
Zhao, C, Jia, B, Wang, M, Schell, TD, Claxton, DF, Ehmann, WC, Rybka, WB, Mineishi, S, Naik, S, Songdej, N, Sivik, JM, Hohl, RJ, Zeng, H & Zheng, H 2019, 'Multi-dimensional analysis identifies an immune signature predicting response to decitabine treatment in elderly patients with AML', British Journal of Haematology. https://doi.org/10.1111/bjh.16228
White, MC, Miller, AJ, Loloi, J, Bingaman, SS, Shen, B, Wang, M, Silberman, Y, Lindsey, SH & Arnold, AC 2019, 'Sex differences in metabolic effects of angiotensin-(1-7) treatment in obese mice', Biology of Sex Differences, vol. 10, no. 1, 36. https://doi.org/10.1186/s13293-019-0251-9
Wang, M, Chi, G, Bodovski, Y, Holder, SL, Lengerich, EJ, Wasserman, E & McDonald, AC 2020, 'Temporal and spatial trends and determinants of aggressive prostate cancer among Black and White men with prostate cancer', Cancer Causes and Control, vol. 31, no. 1, pp. 63-71. https://doi.org/10.1007/s10552-019-01249-0
Li, Y, Wang, M & Cheung, YK 2019, 'Treatment and dose prioritization in early phase platform trials of targeted cancer therapies', Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 68, no. 2, pp. 475-491. https://doi.org/10.1111/rssc.12324
Li, H, Mukherjee, D, Krishnamurthy, VB, Millett, C, Ryan, KA, Zhang, L, Saunders, EFH & Wang, M 2019, 'Use of ecological momentary assessment to detect variability in mood, sleep and stress in bipolar disorder', BMC Research Notes, vol. 12, no. 1, 791. https://doi.org/10.1186/s13104-019-4834-7
Gardner, A, Montgomery, PS, Wang, M, Chen, C, Kuroki, M & Kim, DJK 2019, 'Vascular Inflammation, Calf Muscle Oxygen Saturation, and Blood Glucose are Associated With Exercise Pressor Response in Symptomatic Peripheral Artery Disease', Angiology, vol. 70, no. 8, pp. 747-755. https://doi.org/10.1177/0003319719838399
Ye, M, Jiang, L, Chen, C, Zhu, X, Wang, M & Wu, R 2019, 'np2QTL: networking phenotypic plasticity quantitative trait loci across heterogeneous environments', the Plant Journal. https://doi.org/10.1111/tpj.14355

2018

Li, Z, Chinchilli, VM & Wang, M 2019, 'A Bayesian joint model of recurrent events and a terminal event', Biometrical Journal, vol. 61, no. 1, pp. 187-202. https://doi.org/10.1002/bimj.201700326
Xu, C, Li, Z, Xue, Y, Zhang, L & Wang, M 2019, 'An R package for model fitting, model selection and the simulation for longitudinal data with dropout missingness', Communications in Statistics: Simulation and Computation, vol. 48, no. 9, pp. 2812-2829. https://doi.org/10.1080/03610918.2018.1468457
Gardner, A, Montgomery, PS, Wang, M, Chen, C, Kuroki, M & Kim, DJK 2019, 'Greater Exercise Pressor Response Is Associated With Impaired Claudication Outcomes in Symptomatic Peripheral Artery Disease', Angiology, vol. 70, no. 3, pp. 220-228. https://doi.org/10.1177/0003319718790876
Xu, C, Chinchilli, VM & Wang, M 2018, 'Joint modeling of recurrent events and a terminal event adjusted for zero inflation and a matched design', Statistics in Medicine, vol. 37, no. 18, pp. 2771-2786. https://doi.org/10.1002/sim.7682
Gardner, AW, Montgomery, PS & Wang, M 2018, 'Minimal clinically important differences in treadmill, 6-minute walk, and patient-based outcomes following supervised and home-based exercise in peripheral artery disease', Vascular Medicine (United Kingdom), vol. 23, no. 4, pp. 349-357. https://doi.org/10.1177/1358863X18762599
Park, K, Trout, LC, Xu, C, Wang, M, Tamburro, RF & Halstead, ES 2018, 'No Requirement for Targeted Theophylline Levels for Diuretic Effect of Aminophylline in Critically Ill Children', Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies, vol. 19, no. 8, pp. e425-e432. https://doi.org/10.1097/PCC.0000000000001608
Lokhandwala, PM, Shike, H, Wang, M, Domen, RE & George, MR 2018, 'Optimizing donor scheduling before recruitment: An effective approach to increasing apheresis platelet collections', PloS one, vol. 13, no. 5, e0198062. https://doi.org/10.1371/journal.pone.0198062
Bezinover, D, Deacutis, MF, Dalal, P, Moore, RP, Stine, J, Wang, M, Reeder, E, Hollenbeak, CS, Saner, FH, Riley III, T & Janicki, P 2019, 'Perioperative thrombotic complications associated with pediatric liver transplantation: a UNOS database evaluation', HPB, vol. 21, no. 3, pp. 370-378. https://doi.org/10.1016/j.hpb.2018.08.014
Gardner, AW, Montgomery, PS, Wang, M & Xu, C 2018, 'Predictors of health-related quality of life in patients with symptomatic peripheral artery disease', Journal of Vascular Surgery, vol. 68, no. 4, pp. 1126-1134. https://doi.org/10.1016/j.jvs.2017.12.074
Pediatric Brain Injury Research Network (PediBIRN) Investigators 2018, 'Racial and Ethnic Disparities and Bias in the Evaluation and Reporting of Abusive Head Trauma', Journal of Pediatrics, vol. 198, pp. 137-143.e1. https://doi.org/10.1016/j.jpeds.2018.01.048

2017

Kurundu Hewage, EMK, Spear, D, Umstead, TM, Hu, S, Wang, M, Wong, PK, Chroneos, Z, Halstead, ES & Thomas, N 2017, 'An Electrochemical Biosensor for Rapid Detection of Pediatric Bloodstream Infections', SLAS Technology, vol. 22, no. 6, pp. 616-625. https://doi.org/10.1177/2472630317727704
Dias, MS, Rottmund, CM, Cappos, KM, Reed, ME, Wang, M, Stetter, C, Shaffer, ML, Hollenbeak, CS, Paul, IM, Christian, CW, Berger, RP & Klevens, J 2017, 'Association of a postnatal parent education program for abusive head trauma with subsequent pediatric abusive head trauma hospitalization rates', JAMA Pediatrics, vol. 171, no. 3, pp. 223-229. https://doi.org/10.1001/jamapediatrics.2016.4218
Zhu, L, Kong, Y, Zhang, J, Claxton, DF, Ehmann, WC, Rybka, WB, Palmisiano, ND, Wang, M, Jia, B, Bayerl, M, Schell, TD, Hohl, RJ, Zeng, H & Zheng, H 2017, 'Blimp-1 impairs T cell function via upregulation of TIGIT and PD-1 in patients with acute myeloid leukemia', Journal of Hematology and Oncology, vol. 10, no. 1, 124. https://doi.org/10.1186/s13045-017-0486-z
Zhang, L, Wang, X, Wang, M, Sterling, NW, Du, G, Lewis, MM, Yao, T, Mailman, RB, Li, R & Huang, X 2017, 'Circulating cholesterol levels may link to the factors influencing Parkinson's Risk', Frontiers in Neurology, vol. 8, no. SEP, 501. https://doi.org/10.3389/fneur.2017.00501
Hicks, SD, Wang, M, Fry, K, Doraiswamy, V & Wohlford, EM 2017, 'Neurodevelopmental delay diagnosis rates are increased in a region with aerial pesticide application', Frontiers in Pediatrics, vol. 5, 116. https://doi.org/10.3389/fped.2017.00116
Wang, M, Li, Z, Lee, EY, Lewis, MM, Zhang, L, Sterling, NW, Wagner, D, Eslinger, P, Du, G & Huang, X 2017, 'Predicting the multi-domain progression of Parkinson's disease: A Bayesian multivariate generalized linear mixed-effect model', BMC Medical Research Methodology, vol. 17, no. 1, 147. https://doi.org/10.1186/s12874-017-0415-4
Wang, M, Matthews, SA, Iskandarani, K, Li, Y, Li, Z, Chinchilli, VM & Zhang, L 2017, 'Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania cancer registry, 2000-2011', Geospatial Health, vol. 12, no. 2, 611, pp. 369-375. https://doi.org/10.4081/gh.2017.611
Chow, PKY, Leaver, LA, Wang, M & Lea, SEG 2017, 'Touch screen assays of behavioural flexibility and error characteristics in Eastern grey squirrels (Sciurus carolinensis)', Animal Cognition, vol. 20, no. 3, pp. 459-471. https://doi.org/10.1007/s10071-017-1072-z
Sciamanna, CN, Mowen, AJ, Kraschnewski, JL, Smyth, JM, Rovniak, LS, Conroy, DE, Kearcher, K, Redman, C, Silvis, M, Auer, BJ, Wang, M, Lehman, E & Messina, D 2017, 'Why just exercise if you can play? Interest in a modified sports program to enhance physical activity among primary care patients', Preventive Medicine Reports, vol. 8, pp. 273-278. https://doi.org/10.1016/j.pmedr.2017.10.009

2016

Peng, L, Manatunga, A, Wang, M, Guo, Y & Rahman, AKMF 2016, 'A general approach to categorizing a continuous scale according to an ordinal outcome', Journal of Statistical Planning and Inference, vol. 172, pp. 23-35. https://doi.org/10.1016/j.jspi.2015.12.006
Dalal, PG, Porath, J, Parekh, U, Dhar, P, Wang, M, Hulse, M, Mujsce, D & McQuillan, PM 2016, 'A quality improvement project to reduce hypothermia in infants undergoing MRI scanning', Pediatric Radiology, vol. 46, no. 8, pp. 1187-1198. https://doi.org/10.1007/s00247-016-3592-0
Wang, M & Long, Q 2016, 'Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic', Biometrics, vol. 72, no. 3, pp. 897-906. https://doi.org/10.1111/biom.12470
Lokhandwala, PM, Abendroth, CS, Wang, M, Mani, H, Williams, NC, Walls, M & Zander, DS 2016, 'Assessment of cytotechnologist-cytopathologist interpretative agreement using the Bethesda system for reporting thyroid cytopathology', Diagnostic Cytopathology, vol. 44, no. 2, pp. 113-118. https://doi.org/10.1002/dc.23413
Wang, M, Kong, L, Li, Z & Zhang, L 2016, 'Covariance estimators for Generalized Estimating Equations (GEE) in longitudinal analysis with small samples', Statistics in Medicine, vol. 35, no. 28, pp. 5318-5319. https://doi.org/10.1002/sim.7131
Wang, M, Kong, L, Li, Z & Zhang, L 2016, 'Covariance estimators for generalized estimating equations (GEE) in longitudinal analysis with small samples', Statistics in Medicine, vol. 35, no. 10, pp. 1706-1721. https://doi.org/10.1002/sim.6817
Naik, RJ, Patel, NR, Wang, M & Shah, NC 2016, 'Infective endocarditis prophylaxis: Current practice trend among paediatric cardiologists: Are we following the 2007 guidelines?', Cardiology in the Young, vol. 26, no. 6, pp. 1176-1182. https://doi.org/10.1017/S1047951115002176
Tandon, A, Wang, M, Roe, KC, Patel, S & Ghahramani, N 2016, 'Nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios', Clinical Kidney Journal, vol. 9, no. 4, pp. 611-615. https://doi.org/10.1093/ckj/sfw031
Wang, M, Li, Z & Reeves, B 2016, 'Re: "receiver Operating Characteristic Curve Inference from A Sample with A Limit of Detection"', American journal of epidemiology, vol. 184, no. 7, pp. 552-553. https://doi.org/10.1093/aje/kww090
Hymel, KP, Herman, BE, Narang, SK, Graf, JM, Frazier, TN, Stoiko, M, Christie, LM, Harper, NS, Carroll, CL, Boos, SC, Dias, M, Pullin, DA & Wang, M 2016, 'Reply', Journal of Pediatrics, vol. 171, pp. 321-322. https://doi.org/10.1016/j.jpeds.2016.01.025
Sterling, NW, Wang, M, Zhang, L, Lee, EY, Du, G, Lewis, MM, Styner, M & Huang, X 2016, 'Stage-dependent loss of cortical gyrification as Parkinson disease "unfolds"', Neurology, vol. 86, no. 12, pp. 1143-1151. https://doi.org/10.1212/WNL.0000000000002492
ASSESS-AKI Study Investigators 2016, 'Storage time and urine biomarker levels in the ASSESS-AKI study', PloS one, vol. 11, no. 10, e0164832. https://doi.org/10.1371/journal.pone.0164832

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