pt_cure_ic_adtneh2_loglog {curesurv} | R Documentation |
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
)
z_tau |
Covariates matrix acting on time-to-null parameter. |
z_alpha |
Covariates matrix acting on parameter alpha of the density of time-to-null excess hazard model |
x |
time at which the predictions are provided |
object |
ouput from a model implemented in curesurv |
level |
(1-alpha/2)-order quantile of a normal distribution |
cumLexctopred |
a pre-prediction parameter obtained with cumLexc_ad2_topred, if NULL it will be calculated here |
Dpt_cure |
Partial derivatives of the cure propability according to theta, if NULL it will be calculated here |
Juste Goungounga, Judith Breaud, Eugenie Blandin, Olayide Boussari, 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)