Resche-Rigon M - Search Results

1

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.

2

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

3

Evaluation of the propensity score methods for estimating marginal odds ratios in case of small sample size.

Pirracchio R, Resche-Rigon M, Chevret S. Pirracchio R, et al. BMC Med Res Methodol. 2012 May 30;12:70. doi: 10.1186/1471-2288-12-70. BMC Med Res Methodol. 2012. PMID: 22646911 Free PMC article.

4

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.

5

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

6

Multiple imputation: a mature approach to dealing with missing data.

Chevret S, Seaman S, Resche-Rigon M. Chevret S, et al. Intensive Care Med. 2015 Feb;41(2):348-50. doi: 10.1007/s00134-014-3624-x. Epub 2015 Jan 13. Intensive Care Med. 2015. PMID: 25578679 Free PMC article. No abstract available.

7

A new weighted balance measure helped to select the variables to be included in a propensity score model.

Caruana E, Chevret S, Resche-Rigon M, Pirracchio R. Caruana E, et al. J Clin Epidemiol. 2015 Dec;68(12):1415-22.e2. doi: 10.1016/j.jclinepi.2015.04.009. Epub 2015 May 1. J Clin Epidemiol. 2015. PMID: 26050059

8

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

9

Investigating covariate-by-centre interaction in survival data.

Biard L, Labopin M, Chevret S, Resche-Rigon M; Acute Leukaemia Working Party of the EBMT. Biard L, et al. Stat Methods Med Res. 2018 Mar;27(3):920-932. doi: 10.1177/0962280216647981. Epub 2016 May 10. Stat Methods Med Res. 2018. PMID: 27166409

10

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.

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