The lifetimes of subjects which are left-censored lie below a threshold value or a limit of detection. A popular tool used to handle left-censored data is the reversed hazard rate. In this work, we study the properties and develop characterizations of a class of distributions based on proportional reversed hazard rates used for analyzing left censored data. These characterizations are applied to simulate samples as well as analyze real data using distributions belonging to this class.Comment: 16 pages, 4 figure
In survival or reliability studies, it is common to have truncated data due to the limited time span...
In this paper we introduce and study cause specific reversed hazard rates in the context of left cen...
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
When the observations are not quantified and are known to be less than a threshold value, the concep...
In this paper, we first provide a review of different non-parametric estimators for the cumulative d...
SUMMARY: Left truncation and right censoring arise frequently in practice for life data. This paper ...
Left censoring is generally a rare type of censoring in time-to-event data, however there are some f...
Proportional hazard regression models are widely used in survival analysis to understand and exploit...
The gamma distribution is highly important in applications and data modeling. It is usually used to ...
Consider two random variables subject to random right censoring, like the time to two different dise...
This dissertation deals with right-censored data in survival analysis, where the dependent censoring...
We propose a non-parametric estimator for bivariate left-truncated and right-censored observations t...
Cataloged from PDF version of article.In this study the variance of the bivariate kernel density est...
In left truncation and right censoring models one observes i.i.d. samples from the triplet (T, Z, de...
Failure times are often right-censored and left-truncated. In this paper we give a mass redistributi...
In survival or reliability studies, it is common to have truncated data due to the limited time span...
In this paper we introduce and study cause specific reversed hazard rates in the context of left cen...
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...
When the observations are not quantified and are known to be less than a threshold value, the concep...
In this paper, we first provide a review of different non-parametric estimators for the cumulative d...
SUMMARY: Left truncation and right censoring arise frequently in practice for life data. This paper ...
Left censoring is generally a rare type of censoring in time-to-event data, however there are some f...
Proportional hazard regression models are widely used in survival analysis to understand and exploit...
The gamma distribution is highly important in applications and data modeling. It is usually used to ...
Consider two random variables subject to random right censoring, like the time to two different dise...
This dissertation deals with right-censored data in survival analysis, where the dependent censoring...
We propose a non-parametric estimator for bivariate left-truncated and right-censored observations t...
Cataloged from PDF version of article.In this study the variance of the bivariate kernel density est...
In left truncation and right censoring models one observes i.i.d. samples from the triplet (T, Z, de...
Failure times are often right-censored and left-truncated. In this paper we give a mass redistributi...
In survival or reliability studies, it is common to have truncated data due to the limited time span...
In this paper we introduce and study cause specific reversed hazard rates in the context of left cen...
Let T, C and V denote the lifetime, censoring and truncation variables, respectively. Assume that (C...