The Center for Clinical Epidemiology and Biostatistics (CCEB) and Department of Biostatistics and Epidemiology (DBE) of the University of Pennsylvania (Penn) School of Medicine (SOM) resubmitthis proposal to continue an innovative and successful predoctoral training program in biostatistics for renal and urologic diseases (BRUD). The objective is to train individuals to be rigorous and independent academic investigators able to use the range of approaches in biostatistics to address issues in kidney and urology research. Theprogram is specifically built upon existing collaborative relationships among biostatistics, statistics, and renal and urologic research faculty in the DBE, CCEB, the Renal and Urology Divisions of Penn's SOM, the Department of Pediatrics'Division of Nephrology, other divisions within the Department of Pediatrics at TheChildren's Hospital of Philadelphia, and Wharton's Department of Statistics at Penn. The four- to five-year training program for predoctoral students provides didactic training in fundamental skills, methodologies, and principles of biostatistics, with specific emphasis on the areas of most importance in renal and urologic research. Specific courses are offered in general and advanced biostatistics and research methodology, leading toward a PhD degree in Biostatistics. Trainees are required to obtain a strong background in substantive areas related to renal and urologic diseases through coursework, participation in research seminars, and an ongoing journal club in biostatistics for renal and urologic research. In addition, faculty mentors lead students through directed experiences in collaborative nephrology and urology research and consultation projects. Specifically, the training program is designed to: 1) provide in-depth knowledge of the biostatistics techniques appropriate to research in kidney and urologic disease;2) provide research experience with mentors in biostatistics and renal and urologic research;and 3) bring together faculty and students in the DBE/CCEB and the respective clinical departments. Strengths of the program are the training program in biostatistics, including comprehensive course offerings available to students;the wide ranging experience of the biostatistics faculty in multiple areas of biostatistics methods and kidney and urology research;the faculties'commitment to collaborative research and training;the established teaching program in Statistics offered by the Wharton School;the long history of successful clinical research training programs offered by the CCEB;and the existing collaborative links among faculty in biostatistics and epidemiology, the Renal Division, the Division of Urology, the Department of Pediatrics, and statistics faculty with the Wharton School. Resources available to students include several existing large databases that can be tapped for biostatistics training, a broad array of ongoing research projects including clinical trials and observational studies, Penn's commitment to collaborative research and training, and the broad range of experiences of faculty participating in this training program.

Public Health Relevance

Training opportunities in biostatistics are needed to provide students with both methodological expertise and applied, collaborative experiences in specific diseases, such as in nephrology and urology. Further, this training program utilizes a multidisciplinary approach to training. This is crucial to the development of biostatisticians. as they need to communicate well with and work along side biomedical researchers.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Institutional National Research Service Award (T32)
Project #
5T32DK060455-10
Application #
8513312
Study Section
Diabetes, Endocrinology and Metabolic Diseases B Subcommittee (DDK)
Program Officer
Rys-Sikora, Krystyna E
Project Start
2001-07-01
Project End
2014-06-30
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
10
Fiscal Year
2013
Total Cost
$135,199
Indirect Cost
$6,536
Name
University of Pennsylvania
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Jemielita, T O; Leonard, M B; Baker, J et al. (2016) Association of 25-hydroxyvitamin D with areal and volumetric measures of bone mineral density and parathyroid hormone: impact of vitamin D-binding protein and its assays. Osteoporos Int 27:617-26
Andy, Uduak U; Harvie, Heidi S; Smith, Ariana L et al. (2015) Validation of a self-administered instrument to measure adherence to anticholinergic drugs in women with overactive bladder. Neurourol Urodyn 34:424-8
Elmi, Angelo; Ratcliffe, Sarah J; Guo, Wensheng (2014) The estimation of branching curves in the presence of subject-specific random effects. Stat Med 33:5166-76
Leiby, Benjamin E; Ten Have, Thomas R; Lynch, Kevin G et al. (2014) Bayesian multivariate growth curve latent class models for mixed outcomes. Stat Med 33:3434-52
Sperling, Reisa A; Johnson, Keith A; Doraiswamy, P Murali et al. (2013) Amyloid deposition detected with florbetapir F 18 ((18)F-AV-45) is related to lower episodic memory performance in clinically normal older individuals. Neurobiol Aging 34:822-31
Degoma, Emil M; Davis, Mat D; Dunbar, Richard L et al. (2013) Discordance between non-HDL-cholesterol and LDL-particle measurements: results from the Multi-Ethnic Study of Atherosclerosis. Atherosclerosis 229:517-23
Baker, Joshua F; Davis, Matthew; Alexander, Ruben et al. (2013) Associations between body composition and bone density and structure in men and women across the adult age spectrum. Bone 53:34-41
Gupta, Samir K; Mi, Deming; Dubé, Michael P et al. (2013) Pentoxifylline, inflammation, and endothelial function in HIV-infected persons: a randomized, placebo-controlled trial. PLoS One 8:e60852
White, Matthew T; Xie, Sharon X (2013) Adjustment for measurement error in evaluating diagnostic biomarkers by using an internal reliability sample. Stat Med 32:4709-25
Doraiswamy, P Murali; Sperling, Reisa A; Coleman, R Edward et al. (2012) Amyloid-β assessed by florbetapir F 18 PET and 18-month cognitive decline: a multicenter study. Neurology 79:1636-44

Showing the most recent 10 out of 28 publications