Core C is a new core to this PPG. Previously, statistically related services were offered to PPG investigators through Core A, the administrative core. Core C is now an independent core, due to increased demand for such services. Core C will focus primarily on biostatistics and data management (BDM) including measurement. However, Core C also incorporates analytical components of """"""""modeling"""""""" and image analysis. Our objective is to insurer that appropriate statistical expertise is integrated into each project from inception (e.g., design, power analysis), to implementation (e.g., measurement evaluation), to completion (statistical analysis, interpretation, and reporting). Core C will provide the following services: 1. Assistance in the design of studies. A major goal of the BDM team is to enable investigators to obtain advise on experimental design before they begin their primary projects or new sub-projects. 2. Management of an electronic database of all PPG-generated data, ensuring secure storage and back up, quality and accuracy of entry, and timely provision of data files for subsequent analyses. 3. Collaboration with investigators and Core in evaluating and maintaining the reliability and validity of measured used in the PPG. 4. Assistance in identifying, obtaining, and using software for statistical analysis and related tasks. 5. Consultation on the choice, implementation, and interpretation of statistical procedures that investigators choose to conduct themselves. 6. Conduct of more complex statistical analyses as needed (e.g. simulation studies, mixed models). 7. Collaboration on preparing statistical and related aspects of manuscripts. 8. Fostering greater development and use of expertise in modeling and image analysis procedures. Eight scientists including five Ph.D. statistician-data analysts will provide support through Core C. By relying on a team of statistician-data analysts with diverse areas of specialization, we can support the projects in virtually any area of statistical analysis.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Program Projects (P01)
Project #
3P01DK042618-11S1
Application #
6575635
Study Section
Special Emphasis Panel (ZDK1)
Project Start
2001-08-01
Project End
2002-06-30
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
11
Fiscal Year
2002
Total Cost
$148,636
Indirect Cost
Name
St. Luke's-Roosevelt Institute for Health Sciences
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10019
Strain, Gladys Witt; Ebel, Faith; Honohan, Jamie et al. (2017) Fat-free mass is not lower 24 months postbariatric surgery than nonoperated matched controls. Surg Obes Relat Dis 13:65-69
Gonzalez, Maria Cristina; Barbosa-Silva, Thiago G; Bielemann, Renata M et al. (2016) Phase angle and its determinants in healthy subjects: influence of body composition. Am J Clin Nutr 103:712-6
Aloia, John F; Shieh, Albert; Mikhail, Mageda et al. (2015) Urinary calcium excretion in postmenopausal African American women. Clin Nephrol 84:130-7
Gao, Yan; Zong, Kuang; Gao, Zackary et al. (2015) Magnetic resonance imaging-measured bone marrow adipose tissue area is inversely related to cortical bone area in children and adolescents aged 5-18 years. J Clin Densitom 18:203-8
Hull, H R; Thornton, J; Paley, C et al. (2015) Maternal obesity influences the relationship between location of neonate fat mass and total fat mass. Pediatr Obes 10:245-51
Reyes-Vidal, Carlos M; Mojahed, Hamed; Shen, Wei et al. (2015) Adipose Tissue Redistribution and Ectopic Lipid Deposition in Active Acromegaly and Effects of Surgical Treatment. J Clin Endocrinol Metab 100:2946-55
Al-Gindan, Yasmin Y; Hankey, Catherine R; Govan, Lindsay et al. (2015) Derivation and validation of simple anthropometric equations to predict adipose tissue mass and total fat mass with MRI as the reference method. Br J Nutr 114:1852-67
Al-Gindan, Yasmin Y; Hankey, Catherine; Govan, Lindsay et al. (2014) Derivation and validation of simple equations to predict total muscle mass from simple anthropometric and demographic data. Am J Clin Nutr 100:1041-51
Davidson, Lance E; Kelley, David E; Heshka, Stanley et al. (2014) Skeletal muscle and organ masses differ in overweight adults with type 2 diabetes. J Appl Physiol (1985) 117:377-82
Shen, Wei; Velasquez, Gilbert; Chen, Jun et al. (2014) Comparison of the relationship between bone marrow adipose tissue and volumetric bone mineral density in children and adults. J Clin Densitom 17:163-9

Showing the most recent 10 out of 206 publications