Results 261 to 270 of about 25,541,282 (305)
Some of the next articles are maybe not open access.
Diseases of the Colon & Rectum, 1989
Survival analysis is a statistical method used to calculate the probability of an event such as death or relapse of disease occurring in a patient over time. Survival analysis is important in the interpretation of clinical research, and is frequently encountered in the colorectal literature. In this article, the terminology used in survival analysis is
R K, Reznick, C B, Guest
openaire +2 more sources
Survival analysis is a statistical method used to calculate the probability of an event such as death or relapse of disease occurring in a patient over time. Survival analysis is important in the interpretation of clinical research, and is frequently encountered in the colorectal literature. In this article, the terminology used in survival analysis is
R K, Reznick, C B, Guest
openaire +2 more sources
The American Statistician, 2008
In this article, I will discuss life tables and Kaplan-Meier estimators, which are similar to life tables. Then I turn to proportional-hazards models, aka "Cox models." Along the way, I will look at the efficacy of screening for lung cancer, the impact of negative religious feelings on survival, and the efficacy of hormone replacement therapy.
openaire +2 more sources
In this article, I will discuss life tables and Kaplan-Meier estimators, which are similar to life tables. Then I turn to proportional-hazards models, aka "Cox models." Along the way, I will look at the efficacy of screening for lung cancer, the impact of negative religious feelings on survival, and the efficacy of hormone replacement therapy.
openaire +2 more sources
Applicaitons in survival analysis
Journal of Animal Science, 1999Survival or failure time traits such as herd life and days open are both important economically and pose a number of challenges to an analysis based on linear mixed models. The main features of a survival trait are that it is the time until some event occurs, and some of the observations are censored.
openaire +2 more sources
Survival analysis and neural networks
Proceedings of the International Joint Conference on Neural Networks, 2003., 2004A feedforward neural network architecture for survival analysis is presented which generalizes the standard, usually linear, models described in literature. The time variable is embedded in the model and the network is able to extract its interactions with other system features.
ELEUTERI A. +6 more
openaire +2 more sources
Analysis of Factorial Survival Experiments
Biometrics, 1994Several new methodological issues that arise within two-way factorial designs for survival experiments are discussed within the framework of asymptotic theory for the proportional hazards model with two binary treatment covariates. These issues include: the proper formulation of null hypotheses and alternatives, the choice among log-rank and adjusted ...
openaire +3 more sources
Phylogenetic Survival Analysis
Going back in time through a phylogenetic tree makes it possible to evaluate ancestral genomes and assess their potential to acquire key polymorphisms of interest over evolutionary time. Knowledge of this kind may allow for the emergence of key traits to be predicted and pre-empted from currently circulating strains in the future.Arturo, Torres Ortiz, Louis, Grandjean
openaire +2 more sources
Multivariate Survival Analysis
Theory of Probability & Its Applications, 1993The author considers problems arising in multivariate survival analysis. It is shown that concepts of history and future of one-dimensional time lead to definitions of multidimensional measures of risk, iterated measures of hazard rate, and a representation of multidimensional survival time.
openaire +1 more source
Survival Analysis with Uncertain Endpoints
Biometrics, 1998In some survival analysis applications, the endpoint of interest has a degree of uncertainty associated with it. These events are typically classified by the investigator or by an endpoint committee as true or false according to some decision rule, and the analysis proceeds using only the true endpoints.
openaire +3 more sources