[图书][B] First hitting time regression models: lifetime data analysis based on underlying stochastic processes
C Caroni - 2017 - books.google.com
This book aims to promote regression methods for analyzing lifetime (or time-to-event) data
that are based on a representation of the underlying process, and are therefore likely to offer …
that are based on a representation of the underlying process, and are therefore likely to offer …
[引用][C] Dynamic regression models for survival data
T Martinussen - 2006 - Springer Science+ Business Media …
Some results on the odds rate order along with its statistical testing
V Zardasht - ESAIM: Probability and Statistics, 2024 - esaim-ps.org
Recently, Lando et al.[J. Statist. Plann. Inference 221 (2022) 313–325] define the odds rate
order and show that it is stronger than the usual stochastic order, but weaker than the hazard …
order and show that it is stronger than the usual stochastic order, but weaker than the hazard …
Testing the proportional odds model for interval-censored data
J Sun, L Sun, C Zhu - Lifetime Data Analysis, 2007 - Springer
This paper discusses the goodness-of-fit test for the proportional odds model for K-sample
interval-censored failure time data, which frequently occur in, for example, periodic follow-up …
interval-censored failure time data, which frequently occur in, for example, periodic follow-up …
[图书][B] Semiparametric and nonparametric models for survival data
L Liu - 2004 - search.proquest.com
The Cox model usually assumes that the hazard rate is a product of an unspecified function
of time common to all individuals and a known link function (usually exponential) of a linear …
of time common to all individuals and a known link function (usually exponential) of a linear …
[PDF][PDF] Neyman's Smooth Tests in Survival Analysis
D Kraus - 2008 - dspace.cuni.cz
The idea of smooth tests of goodness of fit is due to Neyman (1937). Consider a sample from
a continuous distribution with density f and distribution function F. To test the simple null …
a continuous distribution with density f and distribution function F. To test the simple null …
Semiparametric odds rate model for modeling short-term and long-term effects with application to a breast cancer genetic study
The proportional odds model is commonly used in the analysis of failure time data. The
assumption of constant odds ratios over time in the proportional odds model, however, can …
assumption of constant odds ratios over time in the proportional odds model, however, can …
Checking proportional rates in the two-sample transformation model
D Kraus - Kybernetika, 2009 - dml.cz
Transformation models for two samples of censored data are considered. Main examples
are the proportional hazards and proportional odds model. The key assumption of these …
are the proportional hazards and proportional odds model. The key assumption of these …
Estimation of odds ratio in proportional odds model
MJ Seo, JS Kim - Journal of the Korean Data and Information …, 2006 - koreascience.kr
Although the proportional hazards model is the most common approach used for studying
the relationship of event times and covariates, alternative models are needed for occasions …
the relationship of event times and covariates, alternative models are needed for occasions …
Statistical analysis of survival times based on proportional generalized odds models
In the area of survival analysis the most popular regression model is the Cox proportional
hazards (PH) model. Unfortunately, in practice not all data sets satisfy the PH condition and …
hazards (PH) model. Unfortunately, in practice not all data sets satisfy the PH condition and …