MCDTR: Methods and Measurement: Disease Modeling Software for Clinical Research


Model development and validation

  • Herman WH, Pan Q, Edelstein SL, Mather KJ, Perreault L, Barrett-Connor E, Dabelea DM, Horton E, Kahn SE, Knowler WC, Lorenzo C, Pi-Sunyer X, Venditti E, Ye W; Diabetes Prevention Program Research Group. Impact of Lifestyle and Metformin Interventions on the Risk of Progression to Diabetes and Regression to Normal Glucose Regulation in Overweight or Obese People With Impaired Glucose Regulation. Diabetes Care. 2017 Dec;40(12):1668-1677. doi: 10.2337/dc17-1116. Epub 2017 Oct 11. [PMID: 29021207] [pdf]
  • Zhou H, Isaman DJM, Messinger S, Brown MB, Klein R, Brandle M, Herman WH: A Computer Simulation Model of Diabetes Progression, Quality of Life, and Cost. Diabetes Care 28:2856-2863, 2005. [pdf]
  • Ye W, Brandle M, Brown MB, Herman WH, The Michigan Model for Coronary Heart Disease in Type 2 Diabetes: Development and Validation, DIABETES TECHNOLOGY & THERAPEUTICS, Volume 17, Number 11, 2015 [pdf] [supplementary data]
  • Brandle M, Zhou H, Smith BR, et al. The direct medical cost of type 2 diabetes. Diabetes Care 2003;26:2300-4. [pdf]
  • Coffey JT, Brandle M, Zhou H, Marriott D, Burke R, Tabaei BP, Engelgau MM, Kaplan RM, Herman WH: Valuing healthrelated quality of life in diabetes. Diabetes Care 25:2238–2243, 2002 [pdf]

Model application

  • Kuo S, Ye W, Duong J, Herman WH. Are the favorable cardiovascular outcomes of empagliflozin treatment explained by its effects on multiple cardiometabolic risk factors? A simulation of the results of the EMPA-REG OUTCOME trial. Diabetes Res Clin Pract. 2018 Jul;141:181-189. doi: 10.1016/j.diabres.2018.04.040. Epub 2018 May 4. [PMID: 29730388] [pdf]
  • Herman WH, Ye W, Griffin SJ, Simmons RK, Davies MJ, Khunti K, Rutten GE, Sandbaek A, Lauritzen T, Borch-Johnsen K, Brown MB, Wareham NJ. Early Detection and Treatment of Type 2 Diabetes Reduce Cardiovascular Morbidity and Mortality: A Simulation of the Results of the Anglo-Danish-Dutch Study of Intensive Treatment in People With Screen-Detected Diabetes in Primary Care (ADDITION-Europe). Diabetes Care. 2015 May 18. pii: dc142459. [Epub ahead of print] PubMed PMID: 25986661. [pdf][supplementary data]

Statistical methods

  • Isaman DJM, Herman WH Brown MB. A discrete-state and discrete-time model using indirect estimates. Statistics in Medicine 2006; 25: 1035-1049. DOI: 10.1002/sim.2241 [pdf]
  • Isaman DJM, Barhak J, Ye W (2009) Indirect Estimation of a Discrete-State Discrete-time model using Secondary Data Analysis of Regression Data. Statistics in Medicine 28(16):2095-115. [pdf]
  • Ye W, Isaman DJM, Barhak J (2012). Use of Secondary Data to Estimate Instantaneous Model Parameters of Diabetic Heart Disease: Lemonade Method. Information Fusion 13(2): 137-145 [pdf]

Model Software

  • Barhak J, Isaman DJM, Ye W, Donghee Lee (2010). Chronic Disease Modeling and Simulation Software. Journal of Biomedical Informatics 43 (5): 791-799. [PMCID: 20558320] [pdf]

Remember to cite the Michigan Center for Diabetes Translational Research (MCDTR) in publications as follows:
“The project described was supported by Grant Number P30DK092926 (MCDTR) from the National Institute of Diabetes and Digestive and Kidney Diseases”