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)
21. A simulation study of measurement error correction methods in logistic regression. Thoresen M; Laake P Biometrics; 2000 Sep; 56(3):868-72. PubMed ID: 10985228 [TBL] [Abstract][Full Text] [Related]
22. 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]
23. Maximum likelihood estimation of correction for dilution bias in simple linear regression using replicates from subjects with extreme first measurements. Berglund L; Garmo H; Lindbäck J; Svärdsudd K; Zethelius B Stat Med; 2008 Sep; 27(22):4397-407. PubMed ID: 18618419 [TBL] [Abstract][Full Text] [Related]
24. Regression calibration with heteroscedastic error variance. Spiegelman D; Logan R; Grove D Int J Biostat; 2011; 7(1):4. PubMed ID: 22848187 [TBL] [Abstract][Full Text] [Related]
25. Regression calibration in semiparametric accelerated failure time models. Yu M; Nan B Biometrics; 2010 Jun; 66(2):405-14. PubMed ID: 19645700 [TBL] [Abstract][Full Text] [Related]
26. Estimation Methods for Mixed Logistic Models with Few Clusters. McNeish D Multivariate Behav Res; 2016; 51(6):790-804. PubMed ID: 27802068 [TBL] [Abstract][Full Text] [Related]
27. Mecor: An R package for measurement error correction in linear regression models with a continuous outcome. Nab L; van Smeden M; Keogh RH; Groenwold RHH Comput Methods Programs Biomed; 2021 Sep; 208():106238. PubMed ID: 34311414 [TBL] [Abstract][Full Text] [Related]
28. Raking and regression calibration: Methods to address bias from correlated covariate and time-to-event error. Oh EJ; Shepherd BE; Lumley T; Shaw PA Stat Med; 2021 Feb; 40(3):631-649. PubMed ID: 33140432 [TBL] [Abstract][Full Text] [Related]
29. 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]
30. Confidence intervals after multiple imputation: combining profile likelihood information from logistic regressions. Heinze G; Ploner M; Beyea J Stat Med; 2013 Dec; 32(29):5062-76. PubMed ID: 23873477 [TBL] [Abstract][Full Text] [Related]
31. Regression calibration with more surrogates than mismeasured variables. Kipnis V; Midthune D; Freedman LS; Carroll RJ Stat Med; 2012 Oct; 31(23):2713-32. PubMed ID: 22744878 [TBL] [Abstract][Full Text] [Related]
32. On the Use of Regression Calibration in a Complex Sampling Design With Application to the Hispanic Community Health Study/Study of Latinos. Baldoni PL; Sotres-Alvarez D; Lumley T; Shaw PA Am J Epidemiol; 2021 Jul; 190(7):1366-1376. PubMed ID: 33506244 [TBL] [Abstract][Full Text] [Related]
33. Robust logistic regression to narrow down the winner's curse for rare and recessive susceptibility variants. Kesselmeier M; Lorenzo Bermejo J Brief Bioinform; 2017 Nov; 18(6):962-972. PubMed ID: 27543791 [TBL] [Abstract][Full Text] [Related]
34. Methods to adjust for misclassification in the quantiles for the generalized linear model with measurement error in continuous exposures. Wang CY; Tapsoba Jde D; Duggan C; Campbell KL; McTiernan A Stat Med; 2016 May; 35(10):1676-88. PubMed ID: 26593772 [TBL] [Abstract][Full Text] [Related]
35. Analysis of case-cohort designs with binary outcomes: Improving efficiency using whole-cohort auxiliary information. Noma H; Tanaka S Stat Methods Med Res; 2017 Apr; 26(2):691-706. PubMed ID: 25348675 [TBL] [Abstract][Full Text] [Related]
36. Comparing measurement error correction methods for rate-of-change exposure variables in survival analysis. Veronesi G; Ferrario MM; Chambless LE Stat Methods Med Res; 2013 Dec; 22(6):583-97. PubMed ID: 21300627 [TBL] [Abstract][Full Text] [Related]
37. Analysis of incidence and prognosis from 'extreme' case-control designs. Salim A; Ma X; Fall K; Andrén O; Reilly M Stat Med; 2014 Dec; 33(30):5388-98. PubMed ID: 24980445 [TBL] [Abstract][Full Text] [Related]
38. Maximum likelihood estimation of the attributable fraction from logistic models. Greenland S; Drescher K Biometrics; 1993 Sep; 49(3):865-72. PubMed ID: 8241375 [TBL] [Abstract][Full Text] [Related]
39. Approximate and Pseudo-Likelihood Analysis for Logistic Regression Using External Validation Data to Model Log Exposure. Lyles RH; Kupper LL J Agric Biol Environ Stat; 2013 Mar; 18(1):22-38. PubMed ID: 24027381 [TBL] [Abstract][Full Text] [Related]
40. A comparison of least squares and conditional maximum likelihood estimators under volume endpoint censoring in tumor growth experiments. Roy Choudhury K; O'Sullivan F; Kasman I; Plowman GD Stat Med; 2012 Dec; 31(29):4061-73. PubMed ID: 22826185 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]