RC1 The overall goal ofthe OAIC program is to increase scientific knowledge that will lead to effective ways to maintain or restore independence in older Americans. Innovative and appropriate analysis and data management methods are an important and necessary component to the scientific endeavor. A variety of designs, variables, hypotheses, and analyses are part ofthe Duke Pepper Center, all with the common theme of 'Pathways to Functional Decline'. Most of the studies assess the relationship of '-omic'markers to that pathway. An analysis core (AC) is proposed with 2 goals: (1) to provide an appropriate data management and analytic resources to the faculty, pilots, and projects in the Pepper Center, and (2) to develop innovative biostatistical analytic methodologies. The AC core is built to provide analytic support the junior and senior faculty across the range of designs and analytic issues inherent in the studies, including sociologists (latent variables), biostatisticians (design, longitudinal analysis, psychometrics), bioinformaticists (genetic and high dimensional data analysis), and statisticians for day-to-day monitoring of studies and data management. Data management will use secure web-based methods (REDCap), and methods from the Center on Human Genetics appropriate for managing high dimensional metabolomic, proteiomic, and genetic data. The panel of studies is constructed and managed so that standardized analytic methods and common measures across studies can be employed. Following our previous successes, the studies and methods lend themselves for use of meta-analytic techniques, allowing discovery of relationships, not possible in any small single study. In addition to provision of technical analytic and data management support, the core will provide consultation and training support to the faculty of the Pepper Center. The core will also pursue methodologic goals of interest to biostatisticians which address analytic issues encountered. In particular, in order to develop valid and reproducible models ofthe relationship between biomarkers and function, several analytic considerations must be developed, including Type-l error control for multiple testing, data aggregation, and measurement of change over time in several domains simultaneously. Working closely with the Biomarkers Cores (RC2 and RC3), we will focus on methods for examining trajectories of change in the biological and clinical variables, establish temporal ordering, assess mediation and moderation pathways, assess the constancy of the relationships across studies, and develop appropriate methods for complex error structures which result from complex sampling designs.
The advancement of the scientific endeavor requires valid and appropriate data be collected with proper designs, hypotheses and analyses in order draw proper inferences and valid conclusions. The AC core is designed to provide technical and analytic support to each of the other cores and members of the Pepper Center. In addition to addressing questions appropriate to individual researcher and individual studies, the core will address meta-issues across studies and develop methods which will further analytic science.
|Anderson, Kristin A; Madsen, Andreas S; Olsen, Christian A et al. (2017) Metabolic control by sirtuins and other enzymes that sense NAD+, NADH, or their ratio. Biochim Biophys Acta 1858:991-998|
|Hatcher, Courtney C; Collins, Amber T; Kim, Sophia Y et al. (2017) Relationship between T1rho magnetic resonance imaging, synovial fluid biomarkers, and the biochemical and biomechanical properties of cartilage. J Biomech 55:18-26|
|Schaefer, Jonathan D; Scult, Matthew A; Caspi, Avshalom et al. (2017) Is low cognitive functioning a predictor or consequence of major depressive disorder? A test in two longitudinal birth cohorts. Dev Psychopathol :1-15|
|Gray, Shelly L; Hart, Laura A; Perera, Subashan et al. (2017) Meta-analysis of Interventions to Reduce Adverse Drug Reactions in Older Adults. J Am Geriatr Soc :|
|Hall, Rasheeda K (2017) Reply to: Comment on: ""Incorporating Geriatric Assessment into a Nephrology Clinic: Preliminary Data from Two Models of Care"". J Am Geriatr Soc 65:880|
|AbouAssi, Hiba; Connelly, Margery A; Bateman, Lori A et al. (2017) Does a lack of physical activity explain the rheumatoid arthritis lipid profile? Lipids Health Dis 16:39|
|Hsueh, M-F; Kraus, V B; Önnerfjord, P (2017) Cartilage matrix remodelling differs by disease state and joint type. Eur Cell Mater 34:70-82|
|Colón-Emeric, Cathleen S; Corazzini, Kirsten; McConnell, Eleanor et al. (2017) Study of Individualization and Bias in Nursing Home Fall Prevention Practices. J Am Geriatr Soc 65:815-821|
|Belsky, Daniel W; Caspi, Avshalom; Cohen, Harvey J et al. (2017) Impact of early personal-history characteristics on the Pace of Aging: implications for clinical trials of therapies to slow aging and extend healthspan. Aging Cell 16:644-651|
|Yin, Z; Fei, Z; Qiu, C et al. (2017) Dietary Diversity and Cognitive Function among Elderly People: A Population-Based Study. J Nutr Health Aging 21:1089-1094|
Showing the most recent 10 out of 431 publications