FRIDTJOF THOMAS, Ph.D.

Associate Professor Division of Biostatistics
Department of Preventive Medicine

Office: 633 DOCTORS OFFICE BUILDING
66 NORTH PAULINE STREET
MEMPHIS TN 381630000
Tel: (901) 448-6461
fthomas4@uthsc.edu

Education

  • Ph.D., Dept of Statistics, Stockholm University, Sweden, Statistics (2001)
  • M.S., Stockholm University, Sweden, Double major: Economics and Statistics (1995)

Author IDs

General

I am the co-investigator/biostatistician on several NIH funded studies and am course director of “Applied Survival Analysis” in the Master of Science in Epidemiology Program at the UTHSC College of Graduate Health Sciences.

I am a member of the Biostatistics Collaborative Core at the Southeast Regional Center of the NHLBI-funded Women’s Health Initiative (WHI) study that has recruited over 160,000 women in over 40 clinical centers nationwide and am a member of the Design and Analysis Committee of the NIH-funded EARLY trials (Early Adult Reduction of weight through LifestYle intervention).

I have served as grant reviewer for the Department of Defense’s Congressionally Directed Medical Research Program (CDMRP) and for the NIH Neurological, Aging and Musculoskeletal Epidemiology Study Section (NAME).  In addition, I have served as Vice President of the Western Tennessee Chapter of the American Statistical Association (WTASA) and I am Associate Editor of the Journal of Statistical Computation and Simulation (JSCS).

Applied Statistics

Statistical techniques I am working with: Design and analysis of randomized clinical trials, observational studies, propensity scores, multiple imputation, medical tests, ROC-analysis, heterogeneity of treatment effects (HTE), medical surveillance, regression and logistic regression, ordinal logistic regression/cumulative logit model/proportional odds method/shift analysis, univariate and multivariate analysis of variance (MANOVA), generalized estimating equations (GEE), longitudinal mixed effects models, survival analysis, Cox regression, time-varying covariates, bootstrap methods, Monte Carlo simulation, Markov Chain Monte Carlo (MCMC), LD50 estimation, cross-sectional and longitudinal studies, meta-analysis, patient centered outcome studies.

Areas of application: Renal disease, kidney transplants, behavioral interventions, weight gain/management, smoking cessation, alcohol related misconduct, diabetes mellitus, fractures, bone mineral density, dementia/cognitive function, nonsteroidal anti-inflammatory drugs (NSAIDs), cardiovascular outcomes, menopausal hormone therapy, sleep apnea, uveal melanoma, oxidative stress in the human retinal pigment epithelium, acute radiation syndrome, genome-wide association, gene-environment interaction, epigenetics, DNA-methylation, copy-number variation.

Research Interest

Binary classifiers and the evaluation of medical tests, analysis of longitudinal data, detection of abrupt changes in measurement sequences/change-point problems, design of observational studies, Bayesian statistics.

For a list of publications, please see:

http://www.ncbi.nlm.nih.gov/sites/myncbi/1VO88AP7Z9uky/bibliography/47428757/public/?sort=date&direction=descending

Teaching Profile

Statistical Methods for Observational Studies (Data Science 2) in the Master of Science in Epidemiology Program (Data Science track)  at UTHSC College of Graduate Health Sciences (1 credit hour, fall 2017: BIOE 864).

Applied Survival Analysis in the Master of Science in Epidemiology Program at UTHSC College of Graduate Health Sciences (3 credit hours, spring 2010, fall 2010, 2011, 2012, 2013, 2014, 2015: BIOE 842).

Issues in Data Analysis and Survival Analysis: Guest lecture in the course Randomized Clinical Trials by Dr. Coday (single lecture: Spring 2017, fall 2017; BIOE 823)

The BioConductor software package: Guest lecture in the course Genetic Epidemiology directed by Dr. Krushkal (single lecture: 10/23/09, 11/12/10, 11/11/11; BIOE 824)

Application of Statistical Methods Using R Software in the Master of Science in Epidemiology Program at UTHSC College of Graduate Health Sciences (3 credit hours, spring 2009: BIOE 840 Special Topics‐Section 005 APP STAT METH R SFTWR).

Bayesian Approaches in Biostatistics in the Master of Science in Epidemiology Program at UTHSC College of Graduate Health Sciences (3 credit hours, spring 2008: BIOE 840 Special Topics‐Section 004 Bayesian Approaches in Biostatistics).

Independent Study “Understanding Sources of Bias in Observational Studies with Application to Data Regarding Hospitalized Patients with Severe Hypernatremia” in the Master’s in Epidemiology Program at UTHSC College of Graduate Health Sciences (2 credit hours, spring 2008).