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Items: 1 to 20 of 101

2.

Robust best linear estimation for regression analysis using surrogate and instrumental variables.

Wang CY.

Biostatistics. 2012 Apr;13(2):326-40. doi: 10.1093/biostatistics/kxr051. Epub 2012 Jan 27.

3.

Bias-corrected variance estimation and hypothesis testing for spatial point and marked point processes using subsampling.

Guan Y.

Biometrics. 2011 Sep;67(3):926-36. doi: 10.1111/j.1541-0420.2010.01517.x. Epub 2010 Dec 6.

PMID:
21133879
4.

Linear theory for filtering nonlinear multiscale systems with model error.

Berry T, Harlim J.

Proc Math Phys Eng Sci. 2014 Jul 8;470(2167):20140168.

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6.

Accelerated failure time models with covariates subject to measurement error.

He W, Yi GY, Xiong J.

Stat Med. 2007 Nov 20;26(26):4817-32.

PMID:
17436310
7.
8.

Variance estimation in the analysis of microarray data.

Wang Y, Ma Y, Carroll RJ.

J R Stat Soc Series B Stat Methodol. 2009 Apr 1;71(2):425-445.

9.

Regression calibration for models with two predictor variables measured with error and their interaction, using instrumental variables and longitudinal data.

Strand M, Sillau S, Grunwald GK, Rabinovitch N.

Stat Med. 2014 Feb 10;33(3):470-87. doi: 10.1002/sim.5904. Epub 2013 Jul 30.

10.

Segmented regression with errors in predictors: semi-parametric and parametric methods.

K├╝chenhoff H, Carroll RJ.

Stat Med. 1997 Jan 15-Feb 15;16(1-3):169-88.

PMID:
9004390
11.

Correcting for binomial measurement error in predictors in regression with application to analysis of DNA methylation rates by bisulfite sequencing.

Buonaccorsi J, Prochenka A, Thoresen M, Ploski R.

Stat Med. 2016 Sep 30;35(22):3987-4007. doi: 10.1002/sim.6988. Epub 2016 Jun 6.

PMID:
27264206
13.
14.

Regression calibration with heteroscedastic error variance.

Spiegelman D, Logan R, Grove D.

Int J Biostat. 2011;7(1):4. doi: 10.2202/1557-4679.1259. Epub 2011 Jan 6.

15.
16.

Estimating and testing interactions when explanatory variables are subject to non-classical measurement error.

Murad H, Kipnis V, Freedman LS.

Stat Methods Med Res. 2016 Oct;25(5):1991-2013. Epub 2013 Dec 11.

PMID:
24334284
17.

Model-based bootstrapping when correcting for measurement error with application to logistic regression.

Buonaccorsi JP, Romeo G, Thoresen M.

Biometrics. 2017 May 30. doi: 10.1111/biom.12730. [Epub ahead of print]

PMID:
28556914
18.

Slope estimation in structural line-segment heteroscedastic measurement error models.

McAssey MP, Hsieh F.

Stat Med. 2010 Nov 10;29(25):2631-42. doi: 10.1002/sim.4030.

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