calculates the probability of the probability Pi(t) of being cured at a given time t after diagnosis knowing that he/she was alive up to time t. It also provides the related confidence intervals using log-log method.
pt_cure_ic_adtneh2_loglog(
z_tau = z_tau,
z_alpha = z_alpha,
x = x,
object,
level = level,
cumLexctopred = NULL,
Dpt_cure = NULL
)Covariates matrix acting on time-to-null parameter.
Covariates matrix acting on parameter alpha of the density of time-to-null excess hazard model
time at which the predictions are provided
ouput from a model implemented in curesurv
(1-alpha/2)-order quantile of a normal distribution
a pre-prediction parameter obtained with cumLexc_ad2_topred, if NULL it will be calculated here
Partial derivatives of the cure propability according to theta, if NULL it will be calculated here
Juste Goungounga, Judith Breaud, Olayide Boussari, Laura Botta, Valerie Jooste
Boussari O, Bordes L, Romain G, Colonna M, Bossard N, Remontet L, Jooste V. Modeling excess hazard with time-to-cure as a parameter. Biometrics. 2021 Dec;77(4):1289-1302. doi: 10.1111/biom.13361. Epub 2020 Sep 12. PMID: 32869288. (pubmed)
Boussari O, Romain G, Remontet L, Bossard N, Mounier M, Bouvier AM, Binquet C, Colonna M, Jooste V. A new approach to estimate time-to-cure from cancer registries data. Cancer Epidemiol. 2018 Apr;53:72-80. doi: 10.1016/j.canep.2018.01.013. Epub 2018 Feb 4. PMID: 29414635. (pubmed)