The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming (1982). This class is widely used in survival analysis studies and it is a subset of the so-called weighted logrank test statistics. Recently, Oller and Gómez (2012) proposed an extension of this class for interval-censored data. This paper introduces the R package FHtest, which implements the Fleming-Harrington class for right-censored and interval-censored survival data. It provides an integrated approach for performing two-sample, k-sample and trend tests based on either counting process theory, likelihood theory, or permutation distributions. In this paper, we summarize the main aspects of the theory framework and present several examples...
The main objective of this master s degree thesis is to build a R package for the goodness-of-fit te...
Abstract: The problem of two-sample survival comparisons has been investigated by several authors. P...
We present a robust Dirichlet process for estimating survival functions from samples with right-cens...
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming ...
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming ...
The class Gρ,λ of weighted log-rank tests proposed by Fleming & Harrington [Fleming & Harrington (1...
Background and objective: In survival analysis, estimating the survival probability of a population ...
In clinical practice the event of interest does not always occur equally across the study time perio...
Sağkalım Analizi'nde araştırmacılar bir taraftan bir topluluğun sağkalım olasılığını kestirmeyi amaç...
With censored event time observations, the logrank test is the most popular tool for testing the equ...
The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamenta...
Frailty models are very useful for analysing correlated survival data, when observations are cluster...
The nonparametric tests are introduced and provides a new method to compare survival functions among...
Survival analysis aims to study the occurrence of a particular event during a follow-up period. Rece...
This paper is a version of Fay and Shaw (2010) published in the Journal of Statistical Software, and...
The main objective of this master s degree thesis is to build a R package for the goodness-of-fit te...
Abstract: The problem of two-sample survival comparisons has been investigated by several authors. P...
We present a robust Dirichlet process for estimating survival functions from samples with right-cens...
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming ...
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming ...
The class Gρ,λ of weighted log-rank tests proposed by Fleming & Harrington [Fleming & Harrington (1...
Background and objective: In survival analysis, estimating the survival probability of a population ...
In clinical practice the event of interest does not always occur equally across the study time perio...
Sağkalım Analizi'nde araştırmacılar bir taraftan bir topluluğun sağkalım olasılığını kestirmeyi amaç...
With censored event time observations, the logrank test is the most popular tool for testing the equ...
The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamenta...
Frailty models are very useful for analysing correlated survival data, when observations are cluster...
The nonparametric tests are introduced and provides a new method to compare survival functions among...
Survival analysis aims to study the occurrence of a particular event during a follow-up period. Rece...
This paper is a version of Fay and Shaw (2010) published in the Journal of Statistical Software, and...
The main objective of this master s degree thesis is to build a R package for the goodness-of-fit te...
Abstract: The problem of two-sample survival comparisons has been investigated by several authors. P...
We present a robust Dirichlet process for estimating survival functions from samples with right-cens...