David Vock, PhD

Assistant Professor, Division of Biostatistics

David Vock

Contact Info

vock@umn.edu

Office Phone 612-625-1266

Office Address:
Mayo A452

Mailing Address:
420 Delaware St SE
MMC 303 Mayo
Minneapolis, MN 55455

Assistant Professor, Division of Biostatistics


PhD, Statistics, North Carolina State University, 2012

MStat, Statistics, North Carolina State University, 2009

BA, Mathematics and Chemistry, St. Olaf College, 2007

Summary

My research focuses on two major areas. The first is statistical methods development for electronic health data with a particular focus on development of machine learning techniques to handle censored data. Second, I work on novel methods for causal inference and estimation of dynamic treatment regimes (DTRs). This includes methods for novel clinical trials (e.g., SMART designs) used to test DTRs. I also collaborate on projects related to transplantation, smoking cessation, cardiovascular disease, and infectious disease. 

Expertise

Chronic diseases, methods, causal inference, clinical trials, adaptive interventions, dynamic treatment regimes, semiparametric theory, machine learning, electronic health data, transplantation

Awards & Recognition

  • Member, Delta Omega Honorary Society in Public Health

Research

Research Summary/Interests

Projects that I have worked on or are ongoing include

  • Prediction of cardiovascular risk using the data from electronic medical record from a regional HMO
  • Determining the optimal treatment strategy for patients with multiple commodities (e.g., hyperglycemia, hyperglycemia, hypertension) to reduce cardiovascular risk
  • Understanding the effect community-wide prevention strategies on heart disease biomarkers
  • Determining the survival benefit conferred by lung transplantation and recipient and donor characteristics which moderate this effect
  • Analysis the effect of lung transplant on quality of life throughout the first year post-transplant
  • Assessing the effect of acute changes in the lung allocation score on post-transplantation survival
  • Predictive modeling of sustained virologic response for patients with hepatitis C undergoing standard therapy
  • Understanding the effect of IL28B on achieving sustained virologic response for patients with hepatitis C
  • Genomewide association study of steatosis and LDL cholesterol levels in hepatitis C patients and the effect of those predictors on treatment success
  • Analysis of the effect of hepatitis C virus on the metabolomics pathway of cholesterol
  • Using hemodynamic measurements (baseline and change after contrast agents are administered) to predict adverse events in heart failure patients
  • Analysis of the damage sustained to stents during deployment
  • Assessing the time sites spend processing and reviewing severe adverse event reports for early phase clinical trials
  • Predicting stopping time in large clinical trials that are event driven
  • Chapter on the use of observational data in book on clinical research

Research Funding Grants

  • 4/16-3/18, NIH National Institute on Drug Abuse, "Innovative Statistical Methods for Detecting and Accounting for Non-Compliance in Randomized Trials of Very Low Nicotine Content Cigarettes," Principal Investigator
  • 9/15-9/20, NIH National Cancer Institute, "Randomized controlled trial of adaptive interventions to promote smoking cessation as part of a lung cancer screening program ," Co-Investigator
  • 10/13-9/18 Leidos, NCI/NIAID, NIH, "Anti-Influenza Hyperimmune Intravenous Immunoglobulin (FLU - IVIG)," Co-Investigator
  • 4/16-1/21 NIH National Institute of Mental Health "Participatory Trial of a Health Promoting School Approach to Positive Youth Development and Wellness" co-Investigator
  • 5/16-4/19, NIH National Institute on Aging, "Aerobic Exercise in Alzheimer's Disease: Cognition and Hippocampal Volume Effects," Co-Investigator

Publications

See a full list of publications on PubMed

Recent Publications

  • Vock DM, Durheim MT, Tsuang WM, Finlen Copeland CA, Tsiatis AA, Davidian M, Lederer DJ, Neely M, Palmer SM. (2016) “The survival benefit of lung transplantation in the modern era of lung allocation.” Annals of the American Thoracic Society (In Press). DOI: 10.1513/AnnalsATS.201606-507OC PMID: 27779905
  • Vock DM, Wolfson J, Bandyopadhyay S, Adomavicius G, Vazquez-Benitez G, O'Connor PJ, Johnson PE. (2016) “Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting.” Journal of Biomedical Informatics 61:119-131. doi: 10.1016/j.jbi.2016.03.009 PMID: 26992568 PMCID: PMC4893987
  • Wey A, Vock DM, Connett J, Rudser K. (2016) “Estimating restricted mean treatment effects with stacked survival models.” Statistics in Medicine 35(19): 3319-3332. doi: 10.1002/sim.6929 PMID: 26934835 PMCID: PMC4938776
  • Bandyopadhyay S, Wolfson J, Vock DM, Vazquez-Benitez G, Adomavicius G, Elidrisi M, Johnson PE, O'Connor PJ. (2015) “Data mining for censored time-to-event data: A Bayesian network model for predicting cardiovascular risk from electronic health record data.” Data Mining and Knowledge Discovery 29(4):1033-1069 doi: 10.1007/s10618-014-0386-6
  • Vock DM•, Tsiatis AA, Davidian M, Laber EB, Tsuang WM, Finlen Copeland CA, Palmer SM. (2013) “Assessing the causal effect of organ transplantation on the distribution of residual lifetime.” Biometrics 69(4): 820-809. doi: 10.1111/biom.12084 PMID: 24128090 PMCID: PMC3865173

Teaching

Academic Interests and Focus

My core goal across my classroom teaching and advising is to transform our students from consumers of information to producers of new knowledge.

Teaching Areas

My teaching and advising has been extremely versatile. I have taught both theoretical and applied statistics courses, courses for non-Bisotatistics graduate students, Masters and PhD required courses in the Biostatistics graduate program, and a PhD-elective course. I have advised and mentored students across the Division, School of Public Health, and University.

Courses

  • PubH 7401, Fundamentals of Biostatstical Inference 
  • PubH 7406, Advanced Regression and Design
  • PubH 8412, Advanced Statistical Inference
  • PubH 8462, Advanced Survival Analysis 

Media

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