[图书][B] Handbook of survival analysis
JP Klein, HC Van Houwelingen, JG Ibrahim… - 2014 - api.taylorfrancis.com
This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …
data analysis. This area of statistics deals with time-to-event data which is complicated not …
Estimating heritability for cause specific mortality based on twin studies
TH Scheike, KK Holst, JB Hjelmborg - Lifetime data analysis, 2014 - Springer
There has been considerable interest in studying the magnitude and type of inheritance of
specific diseases. This is typically derived from family or twin studies, where the basic idea is …
specific diseases. This is typically derived from family or twin studies, where the basic idea is …
Estimating twin concordance for bivariate competing risks twin data
TH Scheike, KK Holst, JB Hjelmborg - Statistics in medicine, 2014 - Wiley Online Library
For twin time‐to‐event data, we consider different concordance probabilities, such as the
casewise concordance that are routinely computed as a measure of the lifetime …
casewise concordance that are routinely computed as a measure of the lifetime …
Non-parametric inference of transition probabilities based on Aalen–Johansen integral estimators for acyclic multi-state models: application to LTC insurance
Q Guibert, F Planchet - Insurance: Mathematics and Economics, 2018 - Elsevier
Abstract Studying Long Term Care (LTC) insurance requires modeling the lifetime of
individuals in presence of both terminal and non-terminal events which are concurrent …
individuals in presence of both terminal and non-terminal events which are concurrent …
Quantifying intrinsic and extrinsic control of single-cell fates in cancer and stem/progenitor cell pedigrees with competing risks analysis
JA Cornwell, RM Hallett, SA der Mauer… - Scientific reports, 2016 - nature.com
The molecular control of cell fate and behaviour is a central theme in biology. Inherent
heterogeneity within cell populations requires that control of cell fate is studied at the single …
heterogeneity within cell populations requires that control of cell fate is studied at the single …
Modeling the cumulative incidence function of multivariate competing risks data allowing for within-cluster dependence of risk and timing
We propose to model the cause-specific cumulative incidence function of multivariate
competing risks data using a random effects model that allows for within-cluster dependence …
competing risks data using a random effects model that allows for within-cluster dependence …
Clustered competing risks
Competing risks data are commonly encountered in clinical trials and observational studies,
when subjects are subject to failure from one of distinct causes (Kalbfleisch and Prentice …
when subjects are subject to failure from one of distinct causes (Kalbfleisch and Prentice …
A multinomial generalized linear mixed model for clustered competing risks data
HA Laureano, RR Petterle, GP Silva… - Computational …, 2024 - Springer
Clustered competing risks data are a complex failure time data scheme. Its main
characteristics are the cluster structure, which implies a latent within-cluster dependence …
characteristics are the cluster structure, which implies a latent within-cluster dependence …
[PDF][PDF] Non-parametric inference of transition probabilities based on Aalen-Johansen integral estimators for semi-competing risks data-application to LTC insurance
Q Guibert, F Planchet - Conference of the LIFE Section of the …, 2015 - actuaries.org
The studying of Long Term Care insurance problems requires to model the lifetime of
individual in presence of both terminal and non-terminal events which are concurrent. This …
individual in presence of both terminal and non-terminal events which are concurrent. This …