Last Update: 07/25/2008 Printer Friendly Printer Friendly   Email This Page Email This Page  

Measurement Error and Other General Methods Research Related to Exposure Assessment

Principal investigator: Enrique F. Schisterman, Ph.D. 
Measurement error and biases may be attributed to laboratory equipment, variation between technicians, temporal changes, and biological variability, etc. Random measurement error can bias possible relationships toward the null hypothesis. Many methods are available for correcting correlation and regression coefficients for random measurement error using the reliability approach. In the context of ROC curves, researchers have provided a bias correction approximation for the point estimator of the area, the Youden Index, and others discriminating ability estimators of biomarkers under random measurement error in both parametric and non-parametric cases.
 
DESPR Collaborators

· Aiyi Liu, Ph.D.
· Neil Perkins, Ph.D.

 
Selected Publications

Roupp M, Collins T, Whitcomb BW, & Schisterman EF. (In press). Evidence of absence or absence of evidence? A re-analysis of the effects of low-dose aspirin in IVF. Fertility and Sterility.

Howards P, Schisterman EF & Heagerty P. (2007). Potential confounding by exposure history and prior outcomes: an example from perinatal epidemiology. Epidemiology, 18(5):544-51. [Abstract]

Bloom MS, Schisterman EF, & Hediger ML. (2007). The use and misuse of matching in case-control studies: the example of polycystic ovary syndrome. Fertility and Sterility, 88(3):707-710. [Abstract]

Liu A, Schisterman EF, & Wu C. (2006). Multistage evaluation of measurement error in a reliability study. Biometrics, 62:1190-1196. [Abstract]

Hernández-Díaz S, Schisterman EF, & Hernán MA. (2006). The birth weight “paradox” uncovered. American Journal of Epidemiology, 164:1115-20. [Abstract]

Perkins NJ & Schisterman EF. (2005). The Youden Index and the optimal cut-point corrected for measurement error. Biometrical Journal, 47(4):428-441. [Abstract]

Schisterman EF & Whitcomb B. (2004). Coronary age as a risk factor in the modified Framingham Risk Score. BMC Medical Imaging, 4(1):1. [Abstract]

Schisterman EF & Whitcomb BW. (2004). Use of the Social Security Administration Death Master File for ascertainment of mortality status. Population Health Metrics, 2(1):2. [Abstract]

Schisterman EF, Moysich KB, England L, & Rao M. (2003). Estimation of the correlation coefficient using the Bayesian approach and its applications for epidemiologic research. BMC Medical Research Methodology, 3(1):5. [Abstract]

Liu A & Schisterman EF. (2004). Principal Components Analysis. In S.C. Crow (Ed.), Encyclopedia of Biopharmaceutical Statistics (1-6). Second Edition.

Buck GM, Schisterman EF, Dukic VM, & Schieve LA. (2005). Research hurdles complicating the analysis of infertility treatment on child health. Human Reproduction, 20(1):12-18. [Abstract]

Schisterman EF & Whitcomb BW. (2004). Are correlation coefficients always low in fertility research? Fertility and Sterility, 82:514-515.

Schisterman EF, Buck GM, & Lynch CD. (2003). Is there an appropriate control group for assessing potential developmental toxicity of assisted reproductive technologies? Fertility and Sterility, 80:1537-1538.

 
For More Information:
News Releases
Publications/Materials
Research Resources
Contact Information:
Dr Germaine M Louis
Senior Investigator
Address:
6100 Executive Blvd Room 7B03, MSC 7510
Rockville, MD 20852
For FedEx use:
Rockville Md 20852
Phone: 301-496-6155
Fax: 301-402-2084
E-mail:
louisg@mail.nih.gov