417 related articles for article (PubMed ID: 22157312)
1. On using summary statistics from an external calibration sample to correct for covariate measurement error.
Guo Y; Little RJ; McConnell DS
Epidemiology; 2012 Jan; 23(1):165-74. PubMed ID: 22157312
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. A new method for dealing with measurement error in explanatory variables of regression models.
Freedman LS; Fainberg V; Kipnis V; Midthune D; Carroll RJ
Biometrics; 2004 Mar; 60(1):172-81. PubMed ID: 15032787
[TBL] [Abstract][Full Text] [Related]
5. An imputation-based solution to using mismeasured covariates in propensity score analysis.
Webb-Vargas Y; Rudolph KE; Lenis D; Murakami P; Stuart EA
Stat Methods Med Res; 2017 Aug; 26(4):1824-1837. PubMed ID: 26037527
[TBL] [Abstract][Full Text] [Related]
6. Measurement error models with interactions.
Midthune D; Carroll RJ; Freedman LS; Kipnis V
Biostatistics; 2016 Apr; 17(2):277-90. PubMed ID: 26530858
[TBL] [Abstract][Full Text] [Related]
7. Evaluating heterogeneity in indoor and outdoor air pollution using land-use regression and constrained factor analysis.
Levy JI; Clougherty JE; Baxter LK; Houseman EA; Paciorek CJ;
Res Rep Health Eff Inst; 2010 Dec; (152):5-80; discussion 81-91. PubMed ID: 21409949
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Bias analysis and the simulation-extrapolation method for survival data with covariate measurement error under parametric proportional odds models.
Yi GY; He W
Biom J; 2012 May; 54(3):343-60. PubMed ID: 22685001
[TBL] [Abstract][Full Text] [Related]
10. Two-stage functional mixed models for evaluating the effect of longitudinal covariate profiles on a scalar outcome.
Zhang D; Lin X; Sowers M
Biometrics; 2007 Jun; 63(2):351-62. PubMed ID: 17688488
[TBL] [Abstract][Full Text] [Related]
11. A measurement error model with a Poisson distributed surrogate.
Li L; Palta M; Shao J
Stat Med; 2004 Aug; 23(16):2527-36. PubMed ID: 15287082
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Evaluation of instrument error and method agreement.
Chatburn RL
AANA J; 1996 Jun; 64(3):261-8. PubMed ID: 9095698
[TBL] [Abstract][Full Text] [Related]
15. A pseudo-Bayesian shrinkage approach to regression with missing covariates.
Zhang N; Little RJ
Biometrics; 2012 Sep; 68(3):933-42. PubMed ID: 22150765
[TBL] [Abstract][Full Text] [Related]
16. Accounting for response misclassification and covariate measurement error improves power and reduces bias in epidemiologic studies.
Cheng D; Branscum AJ; Stamey JD
Ann Epidemiol; 2010 Jul; 20(7):562-7. PubMed ID: 20538200
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Estimating and testing interactions in linear regression models when explanatory variables are subject to classical measurement error.
Murad H; Freedman LS
Stat Med; 2007 Oct; 26(23):4293-310. PubMed ID: 17340676
[TBL] [Abstract][Full Text] [Related]
19. Regression analysis with missing covariate data using estimating equations.
Zhao LP; Lipsitz S; Lew D
Biometrics; 1996 Dec; 52(4):1165-82. PubMed ID: 8962448
[TBL] [Abstract][Full Text] [Related]
20. Model selection for marginal regression analysis of longitudinal data with missing observations and covariate measurement error.
Shen CW; Chen YH
Biostatistics; 2015 Oct; 16(4):740-53. PubMed ID: 26012353
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]