Carpenter JR - Search Results

1

Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation.

Falcaro M, Nur U, Rachet B, Carpenter JR. Falcaro M, et al. Among authors: carpenter jr. Epidemiology. 2015 May;26(3):421-8. doi: 10.1097/EDE.0000000000000283. Epidemiology. 2015. PMID: 25774607

2

Sensitivity analysis after multiple imputation under missing at random: a weighting approach.

Carpenter JR, Kenward MG, White IR. Carpenter JR, et al. Stat Methods Med Res. 2007 Jun;16(3):259-75. doi: 10.1177/0962280206075303. Stat Methods Med Res. 2007. PMID: 17621471

3

Modelling relative survival in the presence of incomplete data: a tutorial.

Nur U, Shack LG, Rachet B, Carpenter JR, Coleman MP. Nur U, et al. Among authors: carpenter jr. Int J Epidemiol. 2010 Feb;39(1):118-28. doi: 10.1093/ije/dyp309. Epub 2009 Oct 25. Int J Epidemiol. 2010. PMID: 19858106

4

Optimal CD4 count for initiating HIV treatment: impact of CD4 observation frequency and grace periods, and performance of dynamic marginal structural models.

Ewings FM, Ford D, Walker AS, Carpenter J, Copas A. Ewings FM, et al. Epidemiology. 2014 Mar;25(2):194-202. doi: 10.1097/EDE.0000000000000043. Epidemiology. 2014. PMID: 24487204 Free PMC article.

5

Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.

Bartlett JW, Seaman SR, White IR, Carpenter JR; Alzheimer's Disease Neuroimaging Initiative*. Bartlett JW, et al. Among authors: carpenter jr. Stat Methods Med Res. 2015 Aug;24(4):462-87. doi: 10.1177/0962280214521348. Epub 2014 Feb 12. Stat Methods Med Res. 2015. PMID: 24525487 Free PMC article.

6

Combining fractional polynomial model building with multiple imputation.

Morris TP, White IR, Carpenter JR, Stanworth SJ, Royston P. Morris TP, et al. Among authors: carpenter jr. Stat Med. 2015 Nov 10;34(25):3298-317. doi: 10.1002/sim.6553. Epub 2015 Jun 10. Stat Med. 2015. PMID: 26095614 Free PMC article.

7

Multiple imputation for IPD meta-analysis: allowing for heterogeneity and studies with missing covariates.

Quartagno M, Carpenter JR. Quartagno M, et al. Among authors: carpenter jr. Stat Med. 2016 Jul 30;35(17):2938-54. doi: 10.1002/sim.6837. Epub 2015 Dec 17. Stat Med. 2016. PMID: 26681666 Free PMC article.

8

Appropriate inclusion of interactions was needed to avoid bias in multiple imputation.

Tilling K, Williamson EJ, Spratt M, Sterne JA, Carpenter JR. Tilling K, et al. Among authors: carpenter jr. J Clin Epidemiol. 2016 Dec;80:107-115. doi: 10.1016/j.jclinepi.2016.07.004. Epub 2016 Jul 19. J Clin Epidemiol. 2016. PMID: 27445178 Free PMC article.

9

What impact do assumptions about missing data have on conclusions? A practical sensitivity analysis for a cancer survival registry.

Smuk M, Carpenter JR, Morris TP. Smuk M, et al. Among authors: carpenter jr. BMC Med Res Methodol. 2017 Feb 6;17(1):21. doi: 10.1186/s12874-017-0301-0. BMC Med Res Methodol. 2017. PMID: 28166735 Free PMC article.

10

Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputation.

Falcaro M, Carpenter JR. Falcaro M, et al. Among authors: carpenter jr. Cancer Epidemiol. 2017 Jun;48:16-21. doi: 10.1016/j.canep.2017.02.005. Epub 2017 Mar 19. Cancer Epidemiol. 2017. PMID: 28315607

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