These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
196 related articles for article (PubMed ID: 18937275)
1. Maximum likelihood, multiple imputation and regression calibration for measurement error adjustment. Messer K; Natarajan L Stat Med; 2008 Dec; 27(30):6332-50. PubMed ID: 18937275 [TBL] [Abstract][Full Text] [Related]
2. Efficient regression calibration for logistic regression in main study/internal validation study designs with an imperfect reference instrument. Spiegelman D; Carroll RJ; Kipnis V Stat Med; 2001 Jan; 20(1):139-160. PubMed ID: 11135353 [TBL] [Abstract][Full Text] [Related]
3. Evaluation of regression calibration and SIMEX methods in logistic regression when one of the predictors is subject to additive measurement error. Fung KY; Krewski D J Epidemiol Biostat; 1999; 4(2):65-74. PubMed ID: 10619053 [TBL] [Abstract][Full Text] [Related]
4. Variance and confidence limits in validation studies based on comparison between three different types of measurements. Ferrari P; Kaaks R; Riboli E J Epidemiol Biostat; 2000; 5(5):303-13. PubMed ID: 11142606 [TBL] [Abstract][Full Text] [Related]
5. Regression calibration for classical exposure measurement error in environmental epidemiology studies using multiple local surrogate exposures. Bateson TF; Wright JM Am J Epidemiol; 2010 Aug; 172(3):344-52. PubMed ID: 20573838 [TBL] [Abstract][Full Text] [Related]
6. Regression analysis with covariates that have heteroscedastic measurement error. Guo Y; Little RJ Stat Med; 2011 Aug; 30(18):2278-94. PubMed ID: 21590792 [TBL] [Abstract][Full Text] [Related]
7. Linear mixed models for replication data to efficiently allow for covariate measurement error. Bartlett JW; De Stavola BL; Frost C Stat Med; 2009 Nov; 28(25):3158-78. PubMed ID: 19777493 [TBL] [Abstract][Full Text] [Related]
8. Multiple imputation with sequential penalized regression. Zahid FM; Heumann C Stat Methods Med Res; 2019 May; 28(5):1311-1327. PubMed ID: 29451087 [TBL] [Abstract][Full Text] [Related]
9. Segmented regression with errors in predictors: semi-parametric and parametric methods. Küchenhoff H; Carroll RJ Stat Med; 1997 Jan 15-Feb 15; 16(1-3):169-88. PubMed ID: 9004390 [TBL] [Abstract][Full Text] [Related]
11. Approximate maximum likelihood estimation for logistic regression with covariate measurement error. Cao Z; Wong MY Biom J; 2021 Jan; 63(1):27-45. PubMed ID: 32914478 [TBL] [Abstract][Full Text] [Related]
12. A comparison of regression calibration, moment reconstruction and imputation for adjusting for covariate measurement error in regression. Freedman LS; Midthune D; Carroll RJ; Kipnis V Stat Med; 2008 Nov; 27(25):5195-216. PubMed ID: 18680172 [TBL] [Abstract][Full Text] [Related]
13. Multiple-imputation for measurement-error correction. Cole SR; Chu H; Greenland S Int J Epidemiol; 2006 Aug; 35(4):1074-81. PubMed ID: 16709616 [TBL] [Abstract][Full Text] [Related]
14. Multiple imputation of more than one environmental exposure with nondifferential measurement error. Yu Y; Little RJ; Perzanowski M; Chen Q Biostatistics; 2024 Apr; 25(2):306-322. PubMed ID: 37230469 [TBL] [Abstract][Full Text] [Related]
15. Performance of bias-correction methods for exposure measurement error using repeated measurements with and without missing data. Batistatou E; McNamee R Stat Med; 2012 Dec; 31(28):3467-80. PubMed ID: 22733598 [TBL] [Abstract][Full Text] [Related]
16. Design aspects of calibration studies in nutrition, with analysis of missing data in linear measurement error models. Carroll RJ; Freedman L; Pee D Biometrics; 1997 Dec; 53(4):1440-57. PubMed ID: 9423259 [TBL] [Abstract][Full Text] [Related]
17. Sensitivity of regression calibration to non-perfect validation data with application to the Norwegian Women and Cancer Study. Buonaccorsi JP; Dalen I; Laake P; Hjartåker A; Engeset D; Thoresen M Stat Med; 2015 Apr; 34(8):1389-403. PubMed ID: 25627982 [TBL] [Abstract][Full Text] [Related]
18. Approaches to addressing missing values, measurement error, and confounding in epidemiologic studies. van Smeden M; Penning de Vries BBL; Nab L; Groenwold RHH J Clin Epidemiol; 2021 Mar; 131():89-100. PubMed ID: 33176189 [TBL] [Abstract][Full Text] [Related]
19. Fully parametric and semi-parametric regression models for common events with covariate measurement error in main study/validation study designs. Spiegelman D; Casella M Biometrics; 1997 Jun; 53(2):395-409. PubMed ID: 9192443 [TBL] [Abstract][Full Text] [Related]
20. Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. Rosner B; Willett WC; Spiegelman D Stat Med; 1989 Sep; 8(9):1051-69; discussion 1071-3. PubMed ID: 2799131 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]