PW Withana Gamage, CS McMahan, L Wang - Lifetime data analysis, 2023 - Springer
The proportional hazards (PH) model is, arguably, the most popular model for the analysis of lifetime data arising from epidemiological studies, among many others. In such applications …
This paper proposes a new estimation procedure for the survival time distribution with left- truncated and right-censored data, where the distribution of the truncation time is known up …
LP Chen - Statistics and Its Interface, 2019 - intlpress.com
Abstract Analysis of left-truncated and right-censored (LTRC) survival data has received extensive interest. Many inference methods have been developed for the various survival …
PS Shen - Communications in Statistics-Simulation and …, 2014 - Taylor & Francis
We analyze left-truncated and right-censored (LTRC) data using Aalen's linear models. The integrated square error (ISE) is used to select an optimal bandwidth of the weighted least …
PS Shen - Journal of Statistical Computation and Simulation, 2014 - Taylor & Francis
Quantile regression methods have been used to estimate upper and lower quantile reference curves as the function of several covariates. In this article, it is demonstrated that …
C Heuchenne, J De Uña-Álvarez, G Laurent - Biometrika, 2020 - academic.oup.com
Cross-sectional sampling is often used when investigating inter-event times, resulting in left- truncated and right-censored data. In this paper, we consider a semiparametric truncation …
T Manoharan, J Arasan, H Midi… - Malaysian Journal of …, 2015 - search.ebscohost.com
The log-normal distribution is often used to model lifetime data due to its nonmonotonic hazard rate. However, with left-truncated data the normal approximation fails due to the …
Left-truncation and right-censoring (LTRC) arise naturally in lifetime data. Data may be left- truncated due to a limitation in the study design. Failure of a unit is observed only if it fails …
Survival analysis can be defined as a set of statistical methods for a data set that is dictated by a well-defined time variable denoted as T until the occurrence of a well-defined event for …