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Prediction of Longevity Breeding Values for US Holstein Sires Using Survival Analysis Methodology
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ABSTRACT
Breeding values of Holstein sires for daughter longevity in each of 9 geographical regions of the United States were predicted using a Weibull proportional hazards model. Longevity (also commonly referred to as herd life or length of productive life) was defined as the number of days from first calving until culling or censoring. Records from 2,322,389 Holstein cows with first calving from 1990 to 2000 were used. In addition to the sire's additive genetic merit, our fa...
Related newspaper, magazine, and journal articles from HighBeam Research
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Survival Analysis Applied to Genetic Evaluation for Female Fertility in Dairy Cattle
Journal of Dairy Science
; ABSTRACT The objective of this research was to study whether survival analysis results in a more accurate genetic evaluation for female fertility traits compared with the usual methodology based on linear models. The fertility trait studied was interval between calving and last insemination. A
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Handbook of Statistics, Vol. 23: Advances in Survival Analysis.(book by N. Balakrishnan, C. R. Rao )(Brief Article)(Book Review)
Journal of the American Statistical Association
; Handbook of Statistics, Vol. 23: Advances in Survival Analysis. N. BALAKRISHNAN and C. R. RAO (Eds Amsterdam: Elsevier, 2004. ISBN 0-444-50079-0. xxv + 795 pp. $175.00. As the editors note in the Preface, survival analysis has become an increasingly active and very important area of research. This
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Genetic Analysis of Herd Life in Canadian Dairy Cattle on a Lactation Basis Using a Weibull Proportional Hazards Model
Journal of Dairy Science
; ABSTRACT The objectives of this study were to identify the most important factors that influence functional survival and to estimate the genetic parameters of functional survival for Canadian dairy cattle. Data were obtained from lactation records extracted for the May 2002 genetic evaluation of
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Genetic Evaluation of Mastitis in Dairy Cattle Using Linear Models, Threshold Models, and Survival Analysis: A Simulation Study
Journal of Dairy Science
; ABSTRACT The objective was to study, by simulation, whether survival analysis results in a more precise genetic evaluation for mastitis in dairy cattle than cross-sectional linear models and threshold models by using observation periods for mastitis of 2 lengths (the first 150 d of lactation, and
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Using conformation traits to improve reliability of genetic evealuation for herd life based on survival analysis
Journal of Dairy Science
; ABSTRACT Genetic evaluation for herd life based on survival analysis utilizes information available on all animals, dead (uncensored) and alive (censored), but the reliability of bulls' breeding values depends only on the number of uncensored daughters. Therefore, information on correlated
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A survey of microcomputer survival analysis software: the need for an integrated framework.
The American Statistician
; KEY WORDS: Cox proportional hazards model; Micro-computers; Parametric survival models; Software; Survival analysis. 1. INTRODUCTION For almost 20 years mainframe computer software has been widely available for survival analysis. SAS and BMDP have led the way in implementing reliable parametric and
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Comparison Between a Weibull Proportional Hazards Model and a Linear Model for Predicting the Genetic Merit of US Jersey Sires for Daughter Longevity
Journal of Dairy Science
; ABSTRACT Predicted transmitting abilities (PTA) of US Jersey sires for daughter longevity were calculated using a Weibull proportional hazards sire model and compared with predictions from a conventional linear animal model. Culling data from 268,008 Jersey cows with first calving from 1981 to 2000
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INTRODUCTION TO SURVIVAL ANALYSIS IN BUSINESS
The Journal of Business Forecasting Methods & Systems
; Survival model provides not only the probability of a certain event, to occur but also when it will occur survival probability can alert a company whether or not a specific account needs a special treatment the analysis can be used effectively in retaining existing customers and acquiring new
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Bayesian Survival Analysis.(Book Review)
Journal of the American Statistical Association
; Bayesian Survival Analysis. Joseph G. IBRAHIM, Ming-Hui CHEN, and Debajyoti SINHA, New York: Springer-Verlag, 2001, ISBN 0-387-95277-2. ix + 479 pp. $79.95. Survival analysis and Bayesian methods are two of the most active areas in the statistical literature. Many books have been published
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Short Communication: Genetic Evaluation of the Interval from First to Last Insemination with Survival Analysis and Linear Models
Journal of Dairy Science
; ABSTRACT Sire breeding values for the interval between the first and last insemination were predicted using 4 proportional hazards models (survival analyses) and 2 linear mixed models to determine which would result in a more accurate genetic evaluation. A stochastic simulation describing the
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