EurekaMag.com logo
+ Translate

The correction of risk estimates for measurement error


, : The correction of risk estimates for measurement error. Annals of Epidemiology 7(2): 154-164

The methods available for the correction of risk estimates for measurement errors are reviewed.

Accession: 002980965

PMID: 9099403

DOI: 10.1016/s1047-2797(96)00149-4

Download PDF Full Text: The correction of risk estimates for measurement error


Submit PDF Full Text

No spam - Every submission is manually reviewed

Due to poor quality, we do not accept files from Researchgate

Submitted PDF Full Texts will always be free for everyone
(We only charge for PDFs that we need to acquire)

Select a PDF file:
Close
Close

Related references

Rosner, B.; Spiegelman, D.; Willett, W.C., 1990: Correction of logistic regression relative risk estimates and confidence intervals for measurement error: the case of multiple covariates measured with error. If several risk factors for disease are considered in the same multiple logistic regression model, and some of these risk factors are measured with error, the point and interval estimates of relative risk corresponding to any of these factors may...

Bashir, S.A.; Duffy, S.W., 1995: Correction of risk estimates for measurement error in epidemiology. Epidemiologists are under considerable pressure to acknowledge the presence of measurement error in the determination of risk factors. Repeatability and validation studies are often prescribed in conjunction with epidemiological studies. We descri...

Rosner, B.; Willett, W.C.; Spiegelman, D., 1989: Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. Errors in the measurement of exposure that are independent of disease status tend to bias relative risk estimates and other measures of effect in epidemiologic studies toward the null value. Two methods are provided to correct relative risk estima...

Rosner, B.; Spiegelman, D.; Willett, W.C., 1992: Correction of logistic regression relative risk estimates and confidence intervals for random within-person measurement error. Frequently, covariates used in a logistic regression are measured with error. The authors previously described the correction of logistic regression relative risk estimates for measurement error in one or more covariates when a "gold standard...

Spiegelman, D.; Casella, M., 1994: Explicit correction for exposure measurement error increases log relative risk estimates more than three fold A case study of health effects of chemotherapeutics exposure in hospital pharmacists. American Journal of Epidemiology 139(11 SUPPL ): S80

Mcnamara, J.M.; Harding, K.C., 2004: Measurement error and estimates of population extinction risk. It is common to estimate the extinction probability for a vulnerable population using methods that are based on the mean and variance of the long-term population growth rate. The numerical values of these two parameters are estimated from time ser...

Rosner, B.; Michels, K.B.; Chen, Y-Hua.; Day, N.E., 2008: Measurement error correction for nutritional exposures with correlated measurement error: use of the method of triads in a longitudinal setting. Nutritional exposures are often measured with considerable error in commonly used surrogate instruments such as the food frequency questionnaire (FFQ) (denoted by Q(i) for the ith subject). The error can be both systematic and random. The diet re...

Keiding, N., 1993: Validation, measurement error and quality control in nutritional epidemiology Correction for measurement error. European Journal of Clinical Nutrition 47(SUPPL 2): S31-S33

Morrison, B.J., 2003: Incorporating measurement error into abundance estimates One facet of risk in setting harvest levels. IAGLR Conference Program & Abstracts 46: 97

de Klerk, N.H.; English, D.R.; Armstrong, B.K., 1989: A review of the effects of random measurement error on relative risk estimates in epidemiological studies. Many articles in the recent epidemiological literature have discussed the effects of random error and misclassification on effect estimation, but many of these have been unclear and hard to follow. This paper reviews and interprets many of these a...