Efficient sparse estimation on interval-censored data with approximated L0 norm: Application to child mortality. [PDF]
PLoS ONE, 2021 A novel penalty for the proportional hazards model under the interval-censored failure time data structure is discussed, with which the subject of variable selection is rarely studied.
Yan Chen, Yulu Zhao
doaj +2 more sources
Likelihood inferences with interval-censored data [PDF]
, 2003 En l’anàlisi de la supervivència el problema de les dades censurades en un interval es tracta, usualment,via l’estimació per màxima versemblança. Amb l’objectiu d’utilitzar una expressió simplificada de la funció de versemblança, els mètodes estàndards ...
Calle, M. Luz +2 more
core +2 more sources
Variable selection in a flexible parametric mixture cure model with interval-censored data. [PDF]
Stat Med, 2016 In standard survival analysis, it is generally assumed that every individual will experience someday the event of interest. However, this is not always the case, as some individuals may not be susceptible to this event.
Scolas S +3 more
europepmc +2 more sources
A practical overview and statistical analysis of interval‐censored data in cancer [PDF]
Cancer CommunicationsTanujit Dey +6 more
doaj +2 more sources
Semiparametric estimation of the accelerated failure time model with partly interval-censored data. [PDF]
Biometrics, 2017 Gao F, Zeng D, Lin DY.
europepmc +2 more sources
Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model with Interval-Censored Data. [PDF]
J Comput Graph Stat, 2018 Zhou J, Zhang J, Lu W.
europepmc +2 more sources
A survival tree for interval-censored failure time data
AIMS Mathematics, 2022 Interval-censored failure time data as a general type of survival data often arises in medicine and other applied fields. Survival tree is a flexible predictive method for survival data because no specific assumptions are required.
Jia Chen, Renato De Leone
doaj +1 more source
Survival trees for interval‐censored survival data [PDF]
Statistics in Medicine, 2017 Interval‐censored data, in which the event time is only known to lie in some time interval, arise commonly in practice, for example, in a medical study in which patients visit clinics or hospitals at prescheduled times and the events of interest occur between visits.
Wei Fu, Jeffrey S. Simonoff
openaire +3 more sources
Interval-censored data with misclassification: a Bayesian approach. [PDF]
J Appl Stat, 2021 Survival data involving silent events are often subject to interval censoring (the event is known to occur within a time interval) and classification errors if a test with no perfect sensitivity and specificity is applied. Considering the nature of this data plays an important role in estimating the time distribution until the occurrence of the event ...
Pires MC +3 more
europepmc +3 more sources
An Expectation Maximization algorithm for fitting the generalized odds-rate model to interval censored data. [PDF]
Stat Med, 2017 Zhou J, Zhang J, Lu W.
europepmc +2 more sources