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Lance Ford

Assistant Professor of Research

Lance Ford, Ph.D.

Contact Information

Phone: (405) 271-2229 x48194

Office: Hudson College of Public Health

801 Northeast 13th Street, Room 392

Oklahoma City, Oklahoma 73104

Email: Lance-Ford@ouhsc.edu 

Biography

Dr. Lance Ford has worked as an Assistant Professor of Research in Biostatistics in the Department of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences Center (OUHSC) since 2022. Dr. Ford graduated in 2016 with a Bachelor of Science in Mathematics at the University of Central Oklahoma. In 2018, he completed a Master of Science in Biostatistics at OUHSC’s Hudson College of Public Health with a focus on stepped-wedge design trials. Dr. Ford continued at OUHSC to complete his doctorate by developing novel high-dimensional statistical methodology for use in extreme phenotype sampling. He was also a Hudson Fellow in Public Health for three years.

Dr. Ford continues his work in the development of high-dimensional regression methods under extreme phenotype sampling. He is applying these methods to mRNA expression data to better understand the connection between genetic factors and neurological health outcomes among patients with carotid stenosis. Previously, Dr. Ford has worked on projects related to neurological health outcomes after subarachnoid hemorrhage, 6-minute walk distance among heart failure patients, lung cancer screening and prevention, and incidence of cancer-associated venous thromboembolism. 

Education

Education:

  • PhD, Biostatistics, University of Oklahoma Health Sciences Center, 2022 
  • MS, Biostatistics, University of Oklahoma Health Sciences Center, 2018  
  • BS, Mathematics, University of Central Oklahoma, 2016

Appointments

Appointments:

  • Assistant Professor of Research in Biostatistics, Department of Biostatistics and Epidemiology, Hudson College of Public Health, OUHSC, 2022–present 

Teaching:

  • BSE 5013 Application of Microcomputers to Data Analysis 

Research

Research Interests:

  • High-dimensional regression
  • Extreme phenotype sampling
  • Statistical genetics
  • Machine learning techniques
  • Stepped-wedge design trials
  • Neurological health outcomes
  • Cancer prevention and control
  • Health disparities

Publications

Link to Dr. Ford's current publications

Select Publications:​​​​​​

  1. Akhtar, Khawaja H., Sarah Johnston, Yan Daniel Zhao, Faris Amil, Lance Ford, JoAnn Lindenfeld, and Tarun W. Dasari. "Meta-analysis Analyzing the Effect of Therapies on 6-Minute Walk Distance in Heart Failure With Reduced Ejection Fraction." The American Journal of Cardiology (2022).
  1. Sedani, Ami E., Lance A. Ford, Shirley A. James, and Laura A. Beebe. "Factors associated with low-dose CT lung cancer screening participation in a high burden state: Results from the 2017-2018 BRFSS." Journal of Cancer Policy 28 (2021): 100284.
  1. Santucci, Joshua A., Stephen R. Ross, John C. Greenert, Faranak Aghaei, Lance Ford, Kimberly M. Hollabaugh, Benjamin O. Cornwell et al. "Radiological estimation of intracranial blood volume and occurrence of hydrocephalus determines stress-induced hyperglycemia after aneurysmal subarachnoid hemorrhage." Translational stroke research 10, no. 3 (2019): 327-337.
  1. Ray, Bappaditya, Lane Tinsley, Lance Ford, David M. Thompson, Evgeny V. Sidorov, and Bradley N. Bohnstedt. "Trends of platelet volume index predicts delayed cerebral ischemia after subarachnoid hemorrhage." World Neurosurgery 111 (2018): e624-e631. 
  1. Ray, Bappaditya, Stephen R. Ross, Gopichand Danala, Faranak Aghaei, Claire Delpirou Nouh, Lance Ford, Kimberly M. Hollabaugh et al. "Systemic response of coated-platelet and peripheral blood inflammatory cell indices after aneurysmal subarachnoid hemorrhage and long-term clinical outcome." Journal of critical care 52 (2019): 1-9.
  2. Ray, Bappaditya, Vijay M. Pandav, Eleanor A. Mathews, David M. Thompson, Lance Ford, Lori K. Yearout, Bradley N. Bohnstedt, Shuchi Chaudhary, George L. Dale, and Calin I. Prodan. "Coated-platelet trends predict short-term clinical outcomeafter subarachnoid hemorrhage." Translational stroke research 9, no. 5 (2018): 459-470.