Literature DB >> 15526789

Applications in survival analysis.

S D Kachman1.   

Abstract

Survival 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. Survival models and the associated estimation procedures provide a flexible means of modeling survival traits. In this paper I will discuss the application of survival analysis based on the Weibull distribution. The components that make up a survival model will be presented along with their interpretation. Issues related to the model construction and estimation will be presented.

Mesh:

Year:  1999        PMID: 15526789     DOI: 10.2527/1999.77suppl_2147x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  2 in total

1.  Genetic parameters for social effects on survival in cannibalistic layers: combining survival analysis and a linear animal model.

Authors:  Esther D Ellen; Vincent Ducrocq; Bart J Ducro; Roel F Veerkamp; Piter Bijma
Journal:  Genet Sel Evol       Date:  2010-07-07       Impact factor: 4.297

2.  Determination of the Risk Factors That Influence Occurrence Time of Traffic Accidents with Survival Analysis.

Authors:  Burcu Oralhan; Ziya Gökalp Göktolga
Journal:  Iran J Public Health       Date:  2018-08       Impact factor: 1.429

  2 in total

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