Design issues and sample size when exposure measurement is inaccurate

Methods of Information in Medicine

Volumn 40, Issue 2, 2001, Pages 137-140

  Rippin, G ^a  

^a JOHANNES GUTENBERG UNIVERSITY   (Germany)

Author keywords

Cost efficient design; Internal validation; Measurement error; Misclassification; Replication; Sample size

Indexed keywords

ACCURACY; ANALYTICAL ERROR; CONFERENCE PAPER; COST EFFECTIVENESS ANALYSIS; EXPOSURE; MEASUREMENT; PRIORITY JOURNAL; REPRODUCIBILITY; RISK ASSESSMENT; SAMPLING; VALIDATION PROCESS;

EID: 0034969323     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1634476     Document Type: Conference Paper

References (33)

1. The effects of measurements errors on relative risk regressions
2. Effekte fehlerhafter expositions-und confounderbestimmungen in epidemiologischen studien
3. Exposure measurement error: Influence on exposure-disease relationships and methods of correction
4. Misclassification in 2 × 2-tables
5. Notes of the assessment of trend in the presence of nondifferential exposure misclassification
6. Study design for epidemiologic studies with measurement error
7. The effect of misclassification in the presence of covariates
8. Mismeasurement and the resonance of strong confounders: Uncorrelated errors
9. Misclassification of covariates
10. Analysis of case-control data with covariate measurement error: Application to diet and colon cancer
11. Case-control studies with errors in covariates
12. A review of methods for misclassified categorical data in epidemiology
13. Misclassification in more than one factor in a case-control study: A combination of Mantel-Haenszel and maximum likelihood approaches
14. Variance estimation for epidemiologic effect estimates under misclassification
15. On correcting for misclassification in twin studies and other matched pair studies
16. A semiparametric mixture approach to case-control studies with errors in covariables
17. Correction of logistic regression on relative risk estimates and confidence intervals for systematic within-person measurement error
18. Correction of logistic regression on relative risk estimates and confidence intervals for measurement error: The case of multiple covariates measured with error
19. On sample size and power calculations for studies using confidence intervals
20. Cost-efficient study designs for relative risk modeling with covariate measurement error
21. Precision of double sampling estimators for comparing two probabilities
22. Statistical uncertainty due to misclassification: Implications for validation substudies
23. A comparison of formulae for calculating cost-efficient sample sizes of case-control studies with an internal validation scheme
24. The effect of misclassification in matched-pair case-control studies
25. Double sampling for exact values in the normal discriminant model with application to binary regression
26. Cost-efficient study designs for binary response data with Gaussian covariate measurement error
27. Optimal sampling strategies for two-stage studies
28. A mean-score method for missing and auxiliary covariate data in regression models
29. Design of validation studies for estimating the odds ratio of exposure-disease relationships when exposure is misclassified
30. External validation, repeat determination, and precision of risk estimation in misclassified exposure data in epidemiology
31. Effects of mismodelling and mismeasuring explanatory variables on tests of their association with a response variable
32. Comparing imperfect measures of exposure