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Operations Research, Systems Engineering and Industrial Engineering Commons

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2011

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Articles 1 - 2 of 2

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Revised Reference Curves For Bone Mineral Content And Areal Bone Mineral Density According To Age And Sex For Black And Non-Black Children: Results Of The Bone Mineral Density In Childhood Study, Babette S. Zemel, Heidi J. Kalkwarf, Vicente Gilsanz, Joan M. Lappe, Sharon Oberfield, John A. Shepherd, Margaret M. Frederick, Xangke Huang, Ming Lu, Soroosh Mahboubi, Thomas N. Hangartner, Karen K. Winer Oct 2011

Revised Reference Curves For Bone Mineral Content And Areal Bone Mineral Density According To Age And Sex For Black And Non-Black Children: Results Of The Bone Mineral Density In Childhood Study, Babette S. Zemel, Heidi J. Kalkwarf, Vicente Gilsanz, Joan M. Lappe, Sharon Oberfield, John A. Shepherd, Margaret M. Frederick, Xangke Huang, Ming Lu, Soroosh Mahboubi, Thomas N. Hangartner, Karen K. Winer

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Context: Deficits in bone acquisition during growth may increase fracture risk. Assessment of bone health during childhood requires appropriate reference values relative to age, sex, and population ancestry to identify bone deficits.

Objective: The objective of this study was to provide revised and extended reference curves for bone mineral content (BMC) and areal bone mineral density (aBMD) in children.

Design: The Bone Mineral Density in Childhood Study was a multicenter longitudinal study with annual assessments for up to 7 yr.

Setting: The study was conducted at five clinical centers in the United States.

Participants: Two thousand fourteen healthy children (992 ...


Reducing Selection Bias In Case-Control Studies From Rare Disease Registries, J. Alexander Cole, John S. Taylor, Thomas N. Hangartner, Neal J. Weinreb, Pramod K. Mistry, Aneal Khan Sep 2011

Reducing Selection Bias In Case-Control Studies From Rare Disease Registries, J. Alexander Cole, John S. Taylor, Thomas N. Hangartner, Neal J. Weinreb, Pramod K. Mistry, Aneal Khan

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Background: In clinical research of rare diseases, where small patient numbers and disease heterogeneity limit study design options, registries are a valuable resource for demographic and outcome information. However, in contrast to prospective, randomized clinical trials, the observational design of registries is prone to introduce selection bias and negatively impact the validity of data analyses. The objective of the study was to demonstrate the utility of case-control matching and the risk-set method in order to control bias in data from a rare disease registry. Data from the International Collaborative Gaucher Group (ICGG) Gaucher Registry were used as an example.

Methods ...