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researcher

C. Proust-Lima

22 papers hereh-index 426.7k citations128 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author6
  • last author9

Across the 20 of 22 papers where every author was matched, so the position is known.

fields
  • stat.ME8
  • stat.AP6
  • stat.ML4
  • stat.CO2
  • math.ST1
  • q-bio.QM1
same name
  • C. Proust-Lima — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122026
most citedEstimation of extended mixed models using latent classes and latent processes: the R package lcmm

1.1k citations · 1.4k across the 20 of their papers we have counts for

collaborators
Showing 2015Show all

3 papers · 1 filter

stat.AP2015★ 56 cited

Joint modelling of longitudinal and multi-state processes: application to clinical progressions in prostate cancer

Loïc Ferrer, Virginie Rondeau, James J. Dignam +3

Joint modelling of longitudinal and survival data is increasingly used in clinical trials on cancer. In prostate cancer for example, these models permit to account for the link bet…

stat.ME2015★ 46 cited

Joint latent class model for longitudinal data and interval-censored semi-competing events: Application to dementia

Anaïs Rouanet, Pierre Joly, Jean-François Dartigues +2

Joint models are used in ageing studies to investigate the association between longitudinal markers and a time-to-event, and have been extended to multiple markers and/or competing…

stat.CO2015★ 1.1k cited

Estimation of extended mixed models using latent classes and latent processes: the R package lcmm

Cécile Proust-Lima, Viviane Philipps, Benoit Liquet

The R package lcmm provides a series of functions to estimate statistical models based on linear mixed model theory. It includes the estimation of mixed models and latent class mix…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.