The Survival Kit: Software to analyze survival data including possibly correlated random effects
نویسندگان
چکیده
منابع مشابه
The Survival Kit: Software to analyze survival data including possibly correlated random effects
The Survival Kit is a Fortran 90 Software intended for survival analysis using proportional hazards models and their extension to frailty models with a single response time. The hazard function is described as the product of a baseline hazard function and a positive (exponential) function of possibly time-dependent fixed and random covariates. Stratified Cox, grouped data and Weibull models can...
متن کاملRandom-effects regression analysis of correlated grouped-time survival data.
Random-effects regression modelling is proposed for analysis of correlated grouped-time survival data. Two analysis approaches are considered. The first treats survival time as an ordinal outcome, which is either right-censored or not. The second approach treats survival time as a set of dichotomous indicators of whether the event occurred for time periods up to the period of the event or censo...
متن کاملSurvival of Dialysis Patients Using Random Survival Forest Model in Low-Dimensional Data with Few-Events
Background:Dialysis is a process for eliminating extra uremic fluids of patients with chronic renal failure. The present study aimed to determine the variables that influence the survival of dialysis patients using random survival forest model (RSFM) in low-dimensional data with low events per variable (EPV). Methods:In this historical cohort study, infor...
متن کاملELISA Analyzer •, a Software to Analyze and Optimize ELISA Data
ELISA data is usually handled in the MS Excel worksheets through different methods and different formulas. Accurate and precise calculations of the data is time consuming and tedious. ELISA Analyzer was developed with a user friendly interface to streamline titration and analysis of the data obtained from ELISA and improve rapid and lucid presentation of the results. The software can also hel...
متن کاملEstimation of the Survival Function for Negatively Dependent Random Variables
Let be a stationary sequence of pair wise negative quadrant dependent random variables with survival function {,1}nXn?F(x)=P[X>x]. The empirical survival function ()nFx based on 12,,...,nXXX is proposed as an estimator for ()nFx. Strong consistency and point wise as well as uniform of ()nFx are discussed
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: Computer Methods and Programs in Biomedicine
سال: 2013
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2013.01.010