AB0320 BDMARDS SURVIVAL: THE TUNISIAN DATA
نویسندگان
چکیده
منابع مشابه
Spatial Modeling of Censored Survival Data
An important issue in survival data analysis is the identification of risk factors. Some of these factors are identifiable and explainable by presence of some covariates in the Cox proportional hazard model, while the others are unidentifiable or even immeasurable. Spatial correlation of censored survival data is one of these sources that are rarely considered in the literatures. In this paper,...
متن کاملPoliticizing the Tunisian Ennahda Islamist Movement
Abstract:The emergence and rise of the Islamic spheres in contemporary times have become one of the most important research topics of recent years and in this area literature is being developed. All those who are doing research in their quest are seeking to answer the question of what factors have led to the politicalization of Islam…? Accordingly, each researcher and writer examines the ...
متن کاملStructural dynamics in northern Atlas of Tunisian, Jendouba area: insights from geology and gravity data
This paper presents a new interpretation of the geometry of Triassic alignment of J. Sidi Mahdi –J. Zitoun in Medjerda Valley Plain (Northern Tunisia) based on detailed analysis of gravity and seismic reflection data. The main results of gravity analysis do not show a distinguish gravity anomaly over Triassic evaporites bodies. The positive gravity anomaly seems to be related to the entire stru...
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 کاملBayesian Analysis of Survival Data with Spatial Correlation
Often in practice the data on the mortality of a living unit correlation is due to the location of the observations in the study. One of the most important issues in the analysis of survival data with spatial dependence, is estimation of the parameters and prediction of the unknown values in known sites based on observations vector. In this paper to analyze this type of survival, Cox...
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: Annals of the Rheumatic Diseases
سال: 2020
ISSN: 0003-4967,1468-2060
DOI: 10.1136/annrheumdis-2020-eular.6498