The University of Washington Department of Biostatistics, with the collaboration of faculty from the Departments of Epidemiology and Occupational and Environmental Health Sciences, and the Divisions of Medical Genetics, Pulmonary and Critical Care Medicine, and General Internal Medicine, proposes to train biostatisticians for collaborative work in cardiovascular research. This would be the fifth renewal of a very successful training grant, and would support seven predoctoral trainees. The PhD program includes coursework in statistical theory, biostatistical methodology, and data analysis, and a statistical consulting practicum. Coursework in the biological sciences and an oral examination on a topic in cardiovascular biology or medicine are required for students who do not have graduate qualifications in a biological discipline. After satisfying these requirements the student proceeds to complete a doctoral dissertation. Students are enrolled with prior training in mathematics, statistics, or the biological sciences. Program prerequisites include linear algebra, probability, and two years of calculus;promising students with biology majors may be admitted provisionally if they have not satisfied all the mathematical prerequisites. All trainees are additionally required to act as teaching assistants, to provide experience in communicating statistical concepts to non-statisticians.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Institutional National Research Service Award (T32)
Project #
5T32HL007183-35
Application #
8096615
Study Section
Special Emphasis Panel (ZHL1-CSR-J (F1))
Program Officer
Silsbee, Lorraine M
Project Start
1976-07-01
Project End
2013-06-30
Budget Start
2011-07-01
Budget End
2013-06-30
Support Year
35
Fiscal Year
2011
Total Cost
$119,617
Indirect Cost
Name
University of Washington
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Shoben, Abigail B; Rudser, Kyle D; Emerson, Scott S (2017) More data, less information? Potential for nonmonotonic information growth using GEE. J Biopharm Stat 27:135-147
Sitlani, Colleen M; Heagerty, Patrick J (2014) Analyzing longitudinal data to characterize the accuracy of markers used to select treatment. Stat Med 33:2881-96
Sitlani, Colleen M; Heagerty, Patrick J; Blood, Emily A et al. (2012) Longitudinal structural mixed models for the analysis of surgical trials with noncompliance. Stat Med 31:1738-60
Voorman, Arend; Rice, Ken; Lumley, Thomas (2012) Fast computation for genome-wide association studies using boosted one-step statistics. Bioinformatics 28:1818-22
Voorman, Arend; Lumley, Thomas; McKnight, Barbara et al. (2011) Behavior of QQ-plots and genomic control in studies of gene-environment interaction. PLoS One 6:e19416
Sitlani, Colleen M; McKnight, Barbara (2011) Relative efficiency of trend tests with misspecified genetic models in stratified analyses of case-control or cohort data. Hum Hered 71:246-55
Wondergem, Robert; Graves, Bridget M; Ozment-Skelton, Tammy R et al. (2010) Lipopolysaccharides directly decrease Ca2+ oscillations and the hyperpolarization-activated nonselective cation current If in immortalized HL-1 cardiomyocytes. Am J Physiol Cell Physiol 299:C665-71
Everson-Stewart, Siobhan; Emerson, Scott S (2010) Bio-creep in non-inferiority clinical trials. Stat Med 29:2769-80
O'Brien, Jennifer J; Nathanson, Neil M (2007) Retrograde activation of STAT3 by leukemia inhibitory factor in sympathetic neurons. J Neurochem 103:288-302
Dodd, Lori E; Pepe, Margaret S (2003) Partial AUC estimation and regression. Biometrics 59:614-23

Showing the most recent 10 out of 16 publications