Dr. Frank Appiah
Dept Chair Associate Professor, Science, Technology, Engineering, and Math
Education
- Ph.D. in Epidemiology and Biostatistics
- University of Kentucky
- M.S. in Statistics
- University of Kentucky
- M.S. in Mathematics
- Youngstown State University
Research Interests
Mixture modeling with applications and data science
Intellectual Contributions
A comparison of methods for predicting future cognitive status
Frank Appiah
January (1st Quarter/Winter) 1, 2022
PUBMED, Alzheimer Disease & Associated Disorders
Impact of Intravenous Access Site on Attenuation for Thoracic Computed Tomographic Angiography: A Time-Matched, Nested, Case-Control Study. JVA, in press.
Frank Appiah
September 23, 2021
Journal of Vascular Access
The Use of Intraosseous Needles for Injection of Contrast Media for Computed Tomographic Angiography of the Thoracic Aorta
Frank Appiah
January (1st Quarter/Winter) 2017
Journal of Radiology
Elucidating Risk Factors and Cognitive Profiles of Brain Arteriolosclerosis in ’Younger’ and ’Older’ Elderly Individuals
Frank Appiah
January (1st Quarter/Winter) 2016
Journal of Cerebral Blood Flow and Metabolism
Presentations
A comparison of methods for predicting future cognitive status
Colorado - Wyoming ASA Chapter
April 28, 2023
Predicting Alzheimer’s Disease with Mixture of Regression Modeling
Joint Statistical Meetings
August 2016
Trajectories Identifying Robust-Normal, Prodromal-Normal and Not-Normal Participants Using CERAD T-scores and Premorbid Estimates of Cognitive Abi- lity
11th Annual CCTS Spring Conference
April 2016
Predicting Alzheimer’s Disease with Bivariate Mixture Modeling, An Application to ADNI Data
ENAR
March 2016
Media Contributions
Alzheimer’s disease; why we should all be concerned and the role that data science continues to play in researching ways to mitigate the disease effects
School Blog
2023
Social Media - Blog
Data Science: Extracting Insights from Complex Data Sets
Public
2023
Social Media - Blog
Awards & Honors
June 16,
2021
2020 University Strategic Initiative – Catalyst – Learning Management System Migration
APUS
During 2020, the earner of this badge made significant contributions to the migration of courses to a new online classroom to improve user experience, promote student-to-student and faculty-to-student interaction, enable a robust mobile classroom, and further differentiate APUS as a leader in online learning.