Abstract

CORE D: Biostatistics OBJECTIVES The primary objective of the Biostatistics Core is to provide centralized statistical services and collaborative research support for the research projects of the Clinical Nutrition Research Unit (CNRU). The Biostatistics Core will serve as the focal point from which CNRU investigators draw statistical expertise for the design, management and analysis of nutrition-related research projects. The specific amis of the Biostatistics Core are to: ? coordinate and manage statistical activities hi the CNRU to ensure that investigators have ready access to statistical consultation and support; ? provide statistical consultation on study design and research proposal development; ? provide expertise in database development and management; ? provide statistical analyses for the CNRU projects; ? participate in teaching and training activities of the CNRU;and ? develop methodologies for novel experimental designs and statistical analyses.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK056336-08
Application #
7860471
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
2009-06-01
Budget End
2010-05-31
Support Year
8
Fiscal Year
2009
Total Cost
$223,755
Indirect Cost

  Institution

Name
University of Alabama Birmingham
Department
Type
DUNS #
063690705
City
Birmingham
State
AL
Country
United States
Zip Code
35294

  Publications

Buford, Thomas W; Carter, Christy S; VanDerPol, William J et al. (2018) Composition and richness of the serum microbiome differ by age and link to systemic inflammation. Geroscience 40:257-268
Smith Jr, D L; Thomas, D M; Siu, C O et al. (2018) Regression to the mean, apparent data errors and biologically extraordinary results: letter regarding 'changes in telomere length 3-5 years after gastric bypass surgery'. Int J Obes (Lond) 42:949-950
George, Brandon J; Li, Peng; Lieberman, Harris R et al. (2018) Randomization to randomization probability: Estimating treatment effects under actual conditions of use. Psychol Methods 23:337-350
Ejima, Keisuke; Thomas, Diana M; Allison, David B (2018) A Mathematical Model for Predicting Obesity Transmission with Both Genetic and Nongenetic Heredity. Obesity (Silver Spring) 26:927-933
Dhurandhar, Emily J; Pavela, Gregory; Kaiser, Kathryn A et al. (2018) Body Mass Index and Subjective Social Status: The Coronary Artery Risk Development in Young Adults Study. Obesity (Silver Spring) 26:426-431
Schneider, C R; Biggio, J R; Chandler-Laney, P C (2018) Association of early pregnancy body mass index with post-partum weight change among African-American women. Clin Obes 8:170-175
Kim, Teayoun; Nason, Shelly; Holleman, Cassie et al. (2018) Glucagon Receptor Signaling Regulates Energy Metabolism via Hepatic Farnesoid X Receptor and Fibroblast Growth Factor 21. Diabetes 67:1773-1782
Borges, Juliano H; Carter, Stephen J; Singh, Harshvardhan et al. (2018) Inverse relationship between changes of maximal aerobic capacity and changes in walking economy after weight loss. Eur J Appl Physiol :
Nelson, Jordan R; Schwartz, Tonia S; Gohlke, Julia M (2018) Influence of maternal age on the effects of seleno-l-methionine in the model organism Daphnia pulex under standard and heat stress conditions. Reprod Toxicol 75:1-9
Speed, Joshua S; Hyndman, Kelly A; Roth, Kaehler et al. (2018) High dietary sodium causes dyssynchrony of the renal molecular clock in rats. Am J Physiol Renal Physiol 314:F89-F98

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