The overall objective of the Biostatistical Core is to work closely with all 5 projects and the animal core to provide efficient data management, biostatistical design and data analyses, as well as aid in presentations of scientific data. To accomplish this goal, the Biostatistical Core will provide rigorous methodological and biostatistical support to all projects; and will conduct independent research and analyses related to the program projects.
As specific aims the Core will provide: (1) efficient data management; (2) routine statistical support for all 5 projects, including assistance with the design of studies, advice on database design and content, summarizing, plotting, analyzing data, interpretation of results, and collaboration in manuscript preparation for publication and/or presentation; and 3) development of new statistical methodology to address and support the statistical design and analyses for all projects. Statistical analysis for the Projects in this grant often involves data modeling, comparison among groups, and parameter estimations. The Biostatistical Core will combine data from different projects and cores of this program project to perform both univariate and multivariate statistical analyses. The Core will also correlate and share data for different projects on the same animals. Special emphasis will be placed on investigating correlations among longitudinal measures (such as motor function in animals of different ages) and endpoint values (such as dopamine levels and morphological correlates) from the same animal. For situations where the conventional parametric or semi-parametric theory is appropriate, the Core investigators will apply ANOVA or the linear mixed models to fit the data with univariate outcome. For multiple dependent outcomes, the Core investigators will use parametric global statistical tests, obtain optimal estimate of parameters of interest and the corresponding confidence intervals. When the parametric assumptions are in doubt, the Core investigators will apply nonparametric global statistical tests for both univarite and multivariate outcomes and repeated measures. For situations when no suitable statistical models in the literature can be applied, the Biostatistical Core will develop suitable statistical models and necessary statistical inference theory for all projects.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Research Program Projects (P01)
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Special Emphasis Panel (ZAG1-ZIJ-2 (M1))
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Medical University of South Carolina
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Reinert, Kaela R S; Umphlet, Claudia D; Quattlebaum, Ariana et al. (2014) Short-term effects of an endotoxin on substantia nigra dopamine neurons. Brain Res 1557:164-70
Karakostas, Tasos; Granholm, Ann-Charlotte (2014) Motion capture and associated novel measurement devices for movement function in humans and animal models. J Neurosci Methods 231:1-2
Karakostas, Tasos; Hsiang, Simon; Boger, Heather et al. (2014) Three-dimensional rodent motion analysis and neurodegenerative disorders. J Neurosci Methods 231:31-7
Huang, Peng; Ou, Ai-hua; Piantadosi, Steven et al. (2014) Formulating appropriate statistical hypotheses for treatment comparison in clinical trial design and analysis. Contemp Clin Trials 39:294-302
Littrell, Ofelia M; Granholm, Ann-Charlotte; Gerhardt, Greg A et al. (2013) Glial cell-line derived neurotrophic factor (GDNF) replacement attenuates motor impairments and nigrostriatal dopamine deficits in 12-month-old mice with a partial deletion of GDNF. Pharmacol Biochem Behav 104:10-9
Littrell, Ofelia M; Pomerleau, Francois; Huettl, Peter et al. (2012) Enhanced dopamine transporter activity in middle-aged Gdnf heterozygous mice. Neurobiol Aging 33:427.e1-14
Zhang, YaJun; Granholm, Ann-Charlotte; Huh, Kyounghee et al. (2012) PTEN deletion enhances survival, neurite outgrowth and function of dopamine neuron grafts to MitoPark mice. Brain 135:2736-49
Granholm, Ann-Charlotte; Zaman, Vandana; Godbee, Jennifer et al. (2011) Prenatal LPS increases inflammation in the substantia nigra of Gdnf heterozygous mice. Brain Pathol 21:330-48
Boger, H A; Mannangatti, P; Samuvel, D J et al. (2011) Effects of brain-derived neurotrophic factor on dopaminergic function and motor behavior during aging. Genes Brain Behav 10:186-98
Nevalainen, N; Chermenina, M; Rehnmark, A et al. (2010) Glial cell line-derived neurotrophic factor is crucial for long-term maintenance of the nigrostriatal system. Neuroscience 171:1357-66

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