Results 91 to 100 of about 426,709 (217)
g12 – Survival Analysis g12zac [PDF]
nag_surviv_risk_sets (g12zac) nag_surviv_risk_sets (g12zac) creates the risk sets associated with the Cox proportional hazards model for fixed ...
Function Document, Nag C Library
core
High-dimensional variable selection for Cox’s proportional hazards model [PDF]
17 pages, 5 ...
Fan, Jianqing, Feng, Yang, Wu, Yichao
openaire +3 more sources
Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent [PDF]
We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of l_1 and l_2 penalties (elastic net). Our algorithm fits via cyclical coordinate descent, and employs warm starts to find a solution along a ...
Jerome H. Friedman +3 more
core +1 more source
Background This paper describes a likelihood approach to model the relation between failure time and haplotypes in studies with unrelated individuals where haplotype phase is unknown, while dealing with the problem of unstable estimates due to rare ...
Tanck Michael WT +3 more
doaj +1 more source
Modeling Survival Analysis in Gastric Cancer Patients Using the Proportional Hazards Model of Cox
Background & Objectives: Cancer has been traditionally regarded as a fatal disease; it is a major public health problem in many countries throughout the world.
B Moghimi Dehkordi +5 more
doaj
Melaku Tadege,1 Azmeraw Misganaw,2 Zemenay Truneh,1 Awoke Seyoum Tegegne3 1Department of Statistics, Injibara University, Injibara, Amhara, Ethiopia; 2Department of Statistics, Mettu University, Mettu, Oromia, Ethiopia; 3Department of Bio-Statistics ...
Tadege M +3 more
doaj
Objective To demonstrate the adverse impact of ignoring statistical interactions in regression models used in epidemiologic studies. Study design and setting Based on different scenarios that involved known values for coefficient of the interaction term ...
Kristina P. Vatcheva +3 more
semanticscholar +1 more source
An Application of the Cox-Aalen Model for Breast Cancer Survival
Semiparametric hazard function regression models are among the well studied risk models in survival analysis. The Cox proportional hazards model has been a popular choice in modelling data from epidemiological settings.
Ileana Baldi +5 more
doaj +1 more source
Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes [PDF]
Fits the joint model proposed by Henderson and colleagues (2000) (doi:10.1093/biostatistics/1.4.465), but extended to the case of multiple continuous longitudinal measures.
Hickey, Graeme +3 more
core
: Cox proportional hazards (PH) model is one of the finest techniques in identifying combined effects of several covariates on the relative risk (hazard).
Wwm Abeysekera, Sooriyarachchi
semanticscholar +1 more source

