Comments on: Nonparametric estimation in mixture cure models with covariates

Ricardo Cao ()
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Ricardo Cao: Universidade da Coruña

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2023, vol. 32, issue 2, No 3, 499-505

Abstract: Abstract This paper discusses the invited paper by López-Cheda, Peng and Jácome on nonparametric mixture cure models with covariates. An alternative estimation procedure is proposed in this context. The situation when the two covariate vectors (the one in the incidence and in the latency parts) share some, but not all, their covariates is also considered. Some technical aspects in the assumptions, results and proofs of the invited paper are also discussed. Comments on the simulations and the real-data application are included. Finally, possible interesting topics for further research in this field are briefly discussed.

Keywords: Censored data; Cure models; Nonparametric estimation (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11749-023-00856-z

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