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Items: 1 to 20 of 121

1.

Comparing and combining data across multiple sources via integration of paired-sample data to correct for measurement error.

Huang Y, Huang Y, Moodie Z, Li S, Self S.

Stat Med. 2012 Dec 10;31(28):3748-59. doi: 10.1002/sim.5446. Epub 2012 Jul 5.

2.

Statistical positivity criteria for the analysis of ELISpot assay data in HIV-1 vaccine trials.

Moodie Z, Huang Y, Gu L, Hural J, Self SG.

J Immunol Methods. 2006 Aug 31;315(1-2):121-32. Epub 2006 Aug 15.

PMID:
16959262
3.

Expected estimating equation using calibration data for generalized linear models with a mixture of Berkson and classical errors in covariates.

Tapsoba JD, Lee SM, Wang CY.

Stat Med. 2014 Feb 20;33(4):675-92. doi: 10.1002/sim.5966. Epub 2013 Sep 6.

4.

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 10;31(28):3467-80. doi: 10.1002/sim.5422. Epub 2012 Jun 25.

PMID:
22733598
5.

Evaluation of instrument error and method agreement.

Chatburn RL.

AANA J. 1996 Jun;64(3):261-8. Review.

PMID:
9095698
6.

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. doi: 10.1097/EDE.0b013e31823a4386.

PMID:
22157312
7.

Optimal allocation of sample sizes to multicenter clinical trials.

Lai D, Chang KC, Rahbar MH, Moye LA.

J Biopharm Stat. 2013;23(4):818-28. doi: 10.1080/10543406.2013.789884.

8.

Statistical considerations on design and analysis of bridging and multiregional clinical trials.

Tsong Y.

J Biopharm Stat. 2012 Sep;22(5):1078-80. doi: 10.1080/10543406.2012.702652. No abstract available.

PMID:
22946952
9.

The effect of sample size and bias on the reliability of estimates of error: a comparative study of Dahlberg's formula.

Springate SD.

Eur J Orthod. 2012 Apr;34(2):158-63. doi: 10.1093/ejo/cjr010. Epub 2011 Mar 29.

PMID:
21447784
10.

Weighted evidence approach of bridging study.

Tsou HH, Tsong Y, Liu JT, Dong X, Wu Y.

J Biopharm Stat. 2012 Sep;22(5):952-65. doi: 10.1080/10543406.2012.701580. Review.

PMID:
22946942
11.

The estimation of calibration equations for variables with heteroscedastic measurement errors.

Tian L, Durazo-Arvizu RA, Myers G, Brooks S, Sarafin K, Sempos CT.

Stat Med. 2014 Nov 10;33(25):4420-36. doi: 10.1002/sim.6235. Epub 2014 Jun 17.

PMID:
24935784
13.
14.

Evaluating concentration estimation errors in ELISA microarray experiments.

Daly DS, White AM, Varnum SM, Anderson KK, Zangar RC.

BMC Bioinformatics. 2005 Jan 26;6:17.

15.

A heteroscedastic measurement error model for method comparison data with replicate measurements.

Nawarathna LS, Choudhary PK.

Stat Med. 2015 Mar 30;34(7):1242-58. doi: 10.1002/sim.6424. Epub 2015 Jan 23.

PMID:
25614299
16.

Consequences of sequential sampling for meta-analysis.

Braschi L, Botella J, Suero M.

Behav Res Methods. 2014 Dec;46(4):1167-83. doi: 10.3758/s13428-013-0433-z.

PMID:
24399083
18.

A comparison of several methods for analyzing censored data.

Hewett P, Ganser GH.

Ann Occup Hyg. 2007 Oct;51(7):611-32.

PMID:
17940277
19.

Regression analysis with covariates that have heteroscedastic measurement error.

Guo Y, Little RJ.

Stat Med. 2011 Aug 15;30(18):2278-94. doi: 10.1002/sim.4261. Epub 2011 May 17.

20.

Correcting for measurement error in binary and continuous variables using replicates.

White I, Frost C, Tokunaga S.

Stat Med. 2001 Nov 30;20(22):3441-57.

PMID:
11746328

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