Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach

Survival analysis can sometimes involve individuals who will not experience the event of interest, forming what is known as the “cured group”. Identifying such individuals is not always possible beforehand, as they provide only right-censored data. Ignoring the presence of the cured group can introd...

Celý popis

Podrobná bibliografie

Vydáno v:	Statistics and computing Ročník 35; číslo 4
Hlavní autoři:	Li, Jinqing, Ma, Jun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.08.2025 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Censored data (mathematics) Computer Science Original Paper Probability and Statistics in Computer Science Regression coefficients Statistical Theory and Methods Statistics and Computing/Statistics Programs Interval censoring Automatic smoothing Mixture cure model Additive hazards model Maximum penalized likelihood estimation
ISSN:	0960-3174, 1573-1375
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!