Philippe Gaillard
Associate Professor
Academic Appointment(s)
Administration
Department of Biostatistics, Data Science, & Epidemiology
School of Public Health
Department of Biostatistics, Data Science, & Epidemiology
Bio
As the direction of the BDSE Statistical Consulting Center, my focus is on providing statistical assistance to AU researchers.
- PGAILLARD@augusta.edu
- (706) 721-9531
- EB 206
Education
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Ph.D., Quantitative Methods in Education
University of Minnesota, 2009
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MA, Research Methodology
University of Pittsburgh - Pit, 1993
Courses Taught Most Recent Academic Year
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STAT 7870
Biostatistical Consul in Resea
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VBIO 8010
Methods in Cardiovascular Rese
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DATS 7510
Programming for Data Analysis
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STAT 7070
Biomedical Statistics
Teaching Interests
I teach the following courses:
STAT 7070: Biomedical Statistics
DATS 7510: Programming for Data Analysis
STAT 7870 - Biostatistical Consulting in Research
I contribute to this course:
VBIO 8010: Methods in Cardiovascular Biology
Scholarship
Selected Recent Publications
- Retrospective evaluation of serum/plasma iron, red blood cell distribution width, and nucleated red blood cells in dogs with acute trauma (2009–2015): 129 cases, 2019
Journal Article, Academic Journal
- Diabetes Self-Management Education and Medical Nutrition Therapy: A Multisite Study Documenting the Efficacy of Registered Dietitian Nutritionist Interventions in the Management of Glycemic Control and Diabetic Dyslipidemia through Retrospective Chart Review, 2019
Journal Article, Academic Journal
- Low‐dose ACTH stimulation testing in dogs suspected of hypoadrenocorticism, 2018
Journal Article, Academic Journal
- Effect of blood contamination on results of dipstick evaluation and urine protein-to-urine creatinine ratio for urine samples from dogs and cats, 2018
Journal Article, Academic Journal
- The Use of a Triage-Based Protocol for Oral Rehydration in a Pediatric Emergency Department, 2018
Journal Article, Academic Journal
Research Interests
My research is collaborative, and I've enjoyed applying various statistical techniques when working on research projects in many disciplines, including Agriculture, Business, Communication, Criminology, Dentistry, Education, Engineering, Environmental Sciences, Fisheries, Forestry, Kinesiology, Neurology, Nursing, Nutrition, Obstetrics, Occupational Therapy, Oncology, Otolaryngology, Pediatrics, Pharmacy, Psychology, Urology, and Veterinary Medicine
College Service
University Service
