Elashoff RM - Search Results

1

A flexible joint model for multiple longitudinal biomarkers and a time-to-event outcome: With applications to dynamic prediction using highly correlated biomarkers.

Li N, Liu Y, Li S, Elashoff RM, Li G. Li N, et al. Among authors: elashoff rm. Biom J. 2021 Dec;63(8):1575-1586. doi: 10.1002/bimj.202000085. Epub 2021 Jul 17. Biom J. 2021. PMID: 34272887 Free PMC article.

2

An exploration of fixed and random effects selection for longitudinal binary outcomes in the presence of nonignorable dropout.

Li N, Daniels MJ, Li G, Elashoff RM. Li N, et al. Among authors: elashoff rm. Biom J. 2013 Jan;55(1):17-37. doi: 10.1002/bimj.201100107. Epub 2012 Nov 2. Biom J. 2013. PMID: 23124889 Free PMC article.

3

An approach to joint analysis of longitudinal measurements and competing risks failure time data.

Elashoff RM, Li G, Li N. Elashoff RM, et al. Stat Med. 2007 Jun 30;26(14):2813-35. doi: 10.1002/sim.2749. Stat Med. 2007. PMID: 17124698 Free PMC article.

4

A joint model for longitudinal measurements and survival data in the presence of multiple failure types.

Elashoff RM, Li G, Li N. Elashoff RM, et al. Biometrics. 2008 Sep;64(3):762-771. doi: 10.1111/j.1541-0420.2007.00952.x. Epub 2007 Dec 20. Biometrics. 2008. PMID: 18162112 Free PMC article.

5

Robust joint modeling of longitudinal measurements and competing risks failure time data.

Li N, Elashoff RM, Li G. Li N, et al. Among authors: elashoff rm. Biom J. 2009 Feb;51(1):19-30. doi: 10.1002/bimj.200810491. Biom J. 2009. PMID: 19197956 Free PMC article.

6

The prognostic importance of CXCR3 chemokine during organizing pneumonia on the risk of chronic lung allograft dysfunction after lung transplantation.

Shino MY, Weigt SS, Li N, Palchevskiy V, Derhovanessian A, Saggar R, Sayah DM, Huynh RH, Gregson AL, Fishbein MC, Ardehali A, Ross DJ, Lynch JP 3rd, Elashoff RM, Belperio JA. Shino MY, et al. Among authors: elashoff rm. PLoS One. 2017 Jul 7;12(7):e0180281. doi: 10.1371/journal.pone.0180281. eCollection 2017. PLoS One. 2017. PMID: 28686641 Free PMC article.

7

Joint analysis of bivariate longitudinal ordinal outcomes and competing risks survival times with nonparametric distributions for random effects.

Li N, Elashoff RM, Li G, Tseng CH. Li N, et al. Among authors: elashoff rm. Stat Med. 2012 Jul 20;31(16):1707-21. doi: 10.1002/sim.4507. Epub 2012 Feb 17. Stat Med. 2012. PMID: 22344869

8

Nonparametric inference for assessing treatment efficacy in randomized clinical trials with a time-to-event outcome and all-or-none compliance.

Elashoff RM, Li G, Zhou Y. Elashoff RM, et al. Biometrika. 2012 Jun;99(2):393-404. doi: 10.1093/biomet/ass004. Epub 2012 Mar 20. Biometrika. 2012. PMID: 23843664 Free PMC article.

9

Joint modeling of longitudinal ordinal data and competing risks survival times and analysis of the NINDS rt-PA stroke trial.

Li N, Elashoff RM, Li G, Saver J. Li N, et al. Among authors: elashoff rm. Stat Med. 2010 Feb 28;29(5):546-57. doi: 10.1002/sim.3798. Stat Med. 2010. PMID: 19943331 Free PMC article.

10

A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects.

Huang X, Li G, Elashoff RM, Pan J. Huang X, et al. Among authors: elashoff rm. Lifetime Data Anal. 2011 Jan;17(1):80-100. doi: 10.1007/s10985-010-9169-6. Epub 2010 Jun 12. Lifetime Data Anal. 2011. PMID: 20549344 Free PMC article.

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