Resche-Rigon M - Search Results

1

Combining multiple imputation and meta-analysis with individual participant data.

Burgess S, White IR, Resche-Rigon M, Wood AM. Burgess S, et al. Stat Med. 2013 Nov 20;32(26):4499-514. doi: 10.1002/sim.5844. Epub 2013 May 24. Stat Med. 2013. PMID: 23703895 Free PMC article.

2

Multiple imputation for handling systematically missing confounders in meta-analysis of individual participant data.

Resche-Rigon M, White IR, Bartlett JW, Peters SA, Thompson SG; PROG-IMT Study Group. Resche-Rigon M, et al. Stat Med. 2013 Dec 10;32(28):4890-905. doi: 10.1002/sim.5894. Epub 2013 Jul 16. Stat Med. 2013. PMID: 23857554

3

Multiple imputation by chained equations for systematically and sporadically missing multilevel data.

Resche-Rigon M, White IR. Resche-Rigon M, et al. Stat Methods Med Res. 2018 Jun;27(6):1634-1649. doi: 10.1177/0962280216666564. Epub 2016 Sep 19. Stat Methods Med Res. 2018. PMID: 27647809 Free PMC article.

4

Propensity score analysis with partially observed covariates: How should multiple imputation be used?

Leyrat C, Seaman SR, White IR, Douglas I, Smeeth L, Kim J, Resche-Rigon M, Carpenter JR, Williamson EJ. Leyrat C, et al. Stat Methods Med Res. 2019 Jan;28(1):3-19. doi: 10.1177/0962280217713032. Epub 2017 Jun 2. Stat Methods Med Res. 2019. PMID: 28573919 Free PMC article.

5

A multiple imputation approach for MNAR mechanisms compatible with Heckman's model.

Galimard JE, Chevret S, Protopopescu C, Resche-Rigon M. Galimard JE, et al. Stat Med. 2016 Jul 30;35(17):2907-20. doi: 10.1002/sim.6902. Epub 2016 Feb 18. Stat Med. 2016. PMID: 26893215

6

Assessing assay agreement estimation for multiple left-censored data: a multiple imputation approach.

Lapidus N, Chevret S, Resche-Rigon M. Lapidus N, et al. Stat Med. 2014 Dec 30;33(30):5298-309. doi: 10.1002/sim.6319. Epub 2014 Oct 8. Stat Med. 2014. PMID: 25292387

7

Permutation tests for centre effect on survival endpoints with application in an acute myeloid leukaemia multicentre study.

Biard L, Porcher R, Resche-Rigon M. Biard L, et al. Stat Med. 2014 Jul 30;33(17):3047-57. doi: 10.1002/sim.6153. Epub 2014 Mar 28. Stat Med. 2014. PMID: 24676752

8

Analysing multicentre competing risks data with a mixed proportional hazards model for the subdistribution.

Katsahian S, Resche-Rigon M, Chevret S, Porcher R. Katsahian S, et al. Stat Med. 2006 Dec 30;25(24):4267-78. doi: 10.1002/sim.2684. Stat Med. 2006. PMID: 16960919

9

Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study.

Gayat E, Resche-Rigon M, Mary JY, Porcher R. Gayat E, et al. Pharm Stat. 2012 May-Jun;11(3):222-9. doi: 10.1002/pst.537. Epub 2012 Mar 12. Pharm Stat. 2012. PMID: 22411785

10

Local influence for the subdistribution of a competing risk.

Resche-Rigon M, Chevret S. Resche-Rigon M, et al. Stat Med. 2006 Jun 15;25(11):1937-47. doi: 10.1002/sim.2354. Stat Med. 2006. PMID: 16158402

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