Population and Observational Studies

Population and Observational Studies

In 2013, the Center for Biostatistics (CFB) at The Ohio State University established the Population and Observational Studies (population study) Division to meet the pressing needs for collaborative research. The population study group includes a diverse assembly of faculty and staff with a wealth of experience in collaborative research. It provides comprehensive biostatistics support for a variety of research projects on grant preparation, protocol development, data analysis and manuscript preparation, encompassing basic science, translational science, and population and observational studies. The primary task is to collaborate with research teams in the formulation of experiment designs, hypothesis generation and testing, the development of analytical strategies and the synthesis of research outcomes. Jeff Pan, PhD, serves as the current leader of the population group, wherein he manages and provides oversight for all activities and operations within this group.

Expertise

The population study group provides expertise in the following main areas:

 

· Statistical Methods

  • Mixed modeling for repeated measures
  • Clustering and classification
  • Predictive modeling on survival or response rate
  • Missing data
  • Propensity score matching
  • Spatial statistics

· Experimental Design

  • Sample size calculation
  • Power simulation
  • Development of analysis plans

· Data Type Competency

  • Clinical Trial data
  • Secondary clinical data
  • Observational studies
  • Large survey data

Population Study Members

The Population Study Division is comprised of a group of faculty and staff biostatisticians who provide support and develop collaborative relationships with various departments in the College of Medicine and other colleges. For a full list of members please see “Our People” on the CFB page. For more information, please email biostatistics@osumc.edu.

 

Collaboration Project Examples

 

· The NIH-funded grant, development of upper extremity behavioral assessment methods for reach-and-grasp and physical rehabilitation.

· The DOD-funded focused program grant, augmenting suicide prevention interventions for service members (ASPIS).

· The NIH-funded grant, successfully achieving and maintaining euglycemia during pregnancy for type 2 diabetes through technology and coaching.

· The NIH-funded grant, laying the groundwork for personalized medicine in aphasia therapy: genetic and cognitive predictors of restorative treatment response

· Grant from CDC, advancing Ethiopia’s capacity for laboratory, workforce, development, surveillance, and emergency to meet international health regulation requirements.

· The NIH-funded grant, comparing treatment approaches to promote inpatient rehabilitation effectiveness for traumatic brain injury (CARE 4 TBI)

· The NIH-funded grant, reducing infection susceptibility by immune function restoration in spinal cord injury

· Nat Inst Neurological Disorders & Stroke: charactering sleep disruption as a post-injury immune stressor

· The PCORI grant, comparative effectiveness of rehabilitation interventions for traumatic brain injury

· The NIH-funded grant, Reducing Cervical Cancer in Appalachian

· The DOD grant, consequences of brain injury on glia-neuron dynamics, neuropathology and neuropsychiatric illness

· Implementation of IMRisk Calculator within a high-risk OB-Gyn Clinic