Crossing hazard functions in common survival models
نویسندگان
چکیده
منابع مشابه
Determining of survival & hazard in patients with pemphigus in Kerman
the incidence of survival analysis and hazard rates in 55 patients with pemphingus have been determined for a period of 12 years from 1989-2000.the effect of pemphigus type,sex,age and the method of treatment were evaluated seperately.for this the equation ht(x)=ho(t) exp{bi xi}was chosen in which hois the baseline hazard in ziro time,ht is hazard happened later(in timet)b is regression co...
متن کاملBayesian Analysis of Survival Models with Bathtub Hazard Rates
SUMMARY Nonparametric Bayesian inference using bathtub hazard rates in survival analysis is developed. A new simulation method, Auxiliary Random Functions, is introduced. When used within a Gibbs sampler, this method enables a uniied treatment of exact, right-censored, left-censored, left-trucated and interval censored data, with and without covariates. The models and methods are exempliied via...
متن کاملThe use of survival time models with nonproportional hazard functions to investigate age of onset in family studies.
The use of survival time models with non-proportional hazard functions is introduced as a method of studying age of onset effects in family studies. Statistical methods for investigating non-proportionality of the hazard function are described, and the application of these methods is illustrated using data from a family study of depression to investigate transmission of age of onset between pro...
متن کاملAssessment of landslide hazard models in Chamsangar basin
Landslide mapping is one of the approaches (which can be) used to define the slope stable critical areas and the maps prepared based on this demarcating are used in desining sustainable development. The purpose of this study is to compare the landslide susceptibility mapping models based on Fuzzy logic, Information value and area Density applied in the Chamsangar watershed. According to the tec...
متن کاملSurvival analysis of thalassemia major patients using Cox, Gompertz proportional hazard and Weibull accelerated failure time models
Background: Thalassemia major (TM) is a severe disease and the most common anemia worldwide. The survival time of the disease and its risk factors are of importance for physicians. The present study was conducted to apply the semi-parametric Cox PH model and use parametric proportional hazards (PH) and accelerated failure time (AFT) models to identify the risk factors related to survival of TM ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics & Probability Letters
سال: 2009
ISSN: 0167-7152
DOI: 10.1016/j.spl.2009.07.002