Roche L - Search Results

1

Flexible and structured survival model for a simultaneous estimation of non-linear and non-proportional effects and complex interactions between continuous variables: Performance of this multidimensional penalized spline approach in net survival trend analysis.

Remontet L, Uhry Z, Bossard N, Iwaz J, Belot A, Danieli C, Charvat H, Roche L; CENSUR Working Survival Group. Remontet L, et al. Among authors: roche l. Stat Methods Med Res. 2019 Aug;28(8):2368-2384. doi: 10.1177/0962280218779408. Epub 2018 Jun 11. Stat Methods Med Res. 2019. PMID: 29888650

2

Changes in the dynamics of the excess mortality rate in chronic phase-chronic myeloid leukemia over 1990-2007: a population study.

Corm S, Roche L, Micol JB, Coiteux V, Bossard N, Nicolini FE, Iwaz J, Preudhomme C, Roche-Lestienne C, Facon T, Remontet L. Corm S, et al. Among authors: roche lestienne c, roche l. Blood. 2011 Oct 20;118(16):4331-7. doi: 10.1182/blood-2011-01-330332. Epub 2011 Aug 17. Blood. 2011. PMID: 21849485 Free article.

3

Estimating net survival: the importance of allowing for informative censoring.

Danieli C, Remontet L, Bossard N, Roche L, Belot A. Danieli C, et al. Among authors: roche l. Stat Med. 2012 Apr 13;31(8):775-86. doi: 10.1002/sim.4464. Epub 2012 Jan 26. Stat Med. 2012. PMID: 22281942

4

Cancer net survival on registry data: use of the new unbiased Pohar-Perme estimator and magnitude of the bias with the classical methods.

Roche L, Danieli C, Belot A, Grosclaude P, Bouvier AM, Velten M, Iwaz J, Remontet L, Bossard N. Roche L, et al. Int J Cancer. 2013 May 15;132(10):2359-69. doi: 10.1002/ijc.27830. Epub 2012 Oct 3. Int J Cancer. 2013. PMID: 22961565

5

Author's reply to: Estimating net survival in population-based cancer studies.

Roche L, Danieli C, Belot A, Iwaz J, Remontet L, Bossard N. Roche L, et al. Int J Cancer. 2013 Jul 15;133(2):522-3. doi: 10.1002/ijc.28039. Epub 2013 Feb 15. Int J Cancer. 2013. PMID: 23338765 No abstract available.

6

A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non-linear and non-proportional effects of covariates.

Charvat H, Remontet L, Bossard N, Roche L, Dejardin O, Rachet B, Launoy G, Belot A; CENSUR Working Survival Group. Charvat H, et al. Among authors: roche l. Stat Med. 2016 Aug 15;35(18):3066-84. doi: 10.1002/sim.6881. Epub 2016 Feb 28. Stat Med. 2016. PMID: 26924122

7

Evolution of the incidence of hepatitis B virus infection and immunization rates in a large French cohort born between 1960 and 1994.

Ramière C, Roche L, Scholtès C, Iwaz J, Saison J, Ecochard R, André P. Ramière C, et al. Among authors: roche l. Clin Microbiol Infect. 2016 Oct;22(10):889.e1-889.e7. doi: 10.1016/j.cmi.2016.07.014. Epub 2016 Jul 21. Clin Microbiol Infect. 2016. PMID: 27451939 Free article.

8

An extension of generalized pairwise comparisons for prioritized outcomes in the presence of censoring.

Péron J, Buyse M, Ozenne B, Roche L, Roy P. Péron J, et al. Among authors: roche l. Stat Methods Med Res. 2018 Apr;27(4):1230-1239. doi: 10.1177/0962280216658320. Epub 2016 Aug 2. Stat Methods Med Res. 2018. PMID: 27487842

9

Trends in net survival from 15 cancers in six European Latin countries: the SUDCAN population-based study material.

Crocetti E, Bossard N, Uhry Z, Roche L, Rossi S, Capocaccia R, Faivre J; GRELL EUROCARE-5 Working Group. Crocetti E, et al. Among authors: roche l. Eur J Cancer Prev. 2017 Jan;26 Trends in cancer net survival in six European Latin Countries: the SUDCAN study:S3-S8. doi: 10.1097/CEJ.0000000000000300. Eur J Cancer Prev. 2017. PMID: 28005599

10

New insights into survival trend analyses in cancer population-based studies: the SUDCAN methodology.

Uhry Z, Bossard N, Remontet L, Iwaz J, Roche L; GRELL EUROCARE-5 Working Group and the CENSUR Working Survival Group. Uhry Z, et al. Among authors: roche l. Eur J Cancer Prev. 2017 Jan;26 Trends in cancer net survival in six European Latin Countries: the SUDCAN study:S9-S15. doi: 10.1097/CEJ.0000000000000301. Eur J Cancer Prev. 2017. PMID: 28005600

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