Yıl 2020, Cilt 3 , Sayı 1, Sayfalar 15 - 18 2020-01-01

Survival Analysis and Application in Livestock

Esra YAVUZ [1] , Mustafa Şahin [2]


Life analysis is a collection of analysis methods used to examine the time elapsed until the emergence of any phenomenon identified by the researcher. In medical studies, such as clinical trials comparing two or more trials; time is taken as the beginning of the individual's participation in the experimental study. Life analysis is researched not only in the field of medicine but also in many branches such as economy, social life, zoology and botany. In this study, milk data of Damaskus hybrid and Pure Damaskus goat herd consisting of two different races were used to make an application of life analysis in livestock field. In milk goatness, the life expectancy of the Damaskus hybrid and Pure Damaskus breeds in milk yield was analyzed by Kaplan-Meier test. IBM SPSS Statistic 23 package program was used for data analysis. As a result, it was seen that the length of life of the pure damask race on milk yield was longer than the Damaskus hybrid race. In other words, the results of the Log-rank test statistics for the data obtained as a result of the study were significant according to the significance level of 0.05. In addition, according to Kaplan-Meier life analysis hypothesis, the mean life milk yield age was different between the groups.

Survival analysis, Kaplan-meier, Time series, Livestock
  • Cox DR. 1972. Regression models and life‐tables. J Royal Stat Soc: Series B (Methodological), 34(2): 187-202.
  • Cox DR. 2018. Analysis of survival data. Chapman and Hall/CRC.
  • Efron B. 1988. Logistic regression, survival analysis, and the Kaplan-Meier curve. J American Stat Assoc, 83(402): 414-425.
  • Goel MK, Khanna P, Kishore J. 2010. Understanding survival analysis: Kaplan-Meier estimate. Int J Ayurveda Res, 1(4): 274.
  • Guyot P, Ades AE, Ouwens MJ, Welton NJ. 2012. Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves. BMC Med Res Methodol, 12(1): 9.
  • Harman JL, Casella G, Gröhn YT. 1996. The application of event-time regression techniques to the study of dairy cow interval-to-conception. Preventive Vet Med, 26: 263-274.
  • Jager KJ, Van Dijk PC, Zoccali C, Dekker FW. 2008. The analysis of survival data: the Kaplan–Meier method. Kidney Int, 74(5): 560-565.
  • Li Y, Klein JP, Moeschberger ML. 1994. Effect of model misspecification in estimating covariate effects in survival analysis for small sample size. Technical Report No. 511. Departmenet of Statistics, the Ohio State University, Columbus, OH.
  • Miller Jr RG. 2011. Survival analysis. John Wiley and Sons. (Vol. 66)
  • Rich JT, Neely JG, Paniello RC, Voelker CC, Nussenbaum B, Wang EW. 2010. A practical guide to understanding Kaplan-Meier curves. Otolaryngol Head Neck Surg, 143(3): 331-336.
  • Seker I, Kul S, Bayraktar M, Akcan A. 2004. Effects of crossbreeding with East-Friesian to Awassi on milk production and mammary gland traits. Medyc Weterynar, 60(08): 815-818.
  • Sutton AJ, Abrams KR, Jones DR, Jones DR, Sheldon TA, Song F. 2000. Methods for meta-analysis in medical research. Chichester: Wiley, vol: 348.
  • Ture M, Tokatli F, Kurt I. 2009. Using Kaplan–Meier analysis together with decision tree methods (C&RT, CHAID, QUEST, C4. 5 and ID3) in determining recurrence-free survival of breast cancer patients. Expert Syst Applicat, 36(2): 2017-2026.
  • Van Melis MH, Figueiredo LGG, Oliveira HN, Eler JP, Rosa GJM, Santana ML, Ferraz JBS. 2014. Quantitative genetic study of age at subsequent rebreeding in Nellore cattle by using survival analysis. GMR, 4071-4082.
  • Vukasinovic N, Moll J, Künzi N. 1997. Analysis of productive life in swiss brown cattle. J Dairy Sci, 80: 2572-2579.
  • Vukasinovic, N. 1998. Application of survival analysis in breeding for longevity. Animal Breeding Group, Swiss Federal Inst Tech.
  • Vukasinovic N, Moll J, Casanova L. 2001. Implementation of a routine genetic evaluation for longevity based on survival analysis techniques in dairy cattle populations in Switzerland. J Dairy Sci, 84(9): 2073-2080.
  • Zhang M. 1997. Grouped failure times, tied failure times. Two Contributions to the Encyclopedia of Biostatistics, To The. Encyclopedia of Biostatistics, Technical Report 24.
  • Zırhlıoğlu G, Kara K. 2004. Estimation of some parameters related to queen bee breeding using life analysis methods. Yüzüncü Yıl Univ J Agri Sci, 14(1): 7-15.
Birincil Dil en
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Orcid: 0000-0002-5589-297X
Yazar: Esra YAVUZ (Sorumlu Yazar)
Kurum: Kahramanmaraş Sütçü Imam University
Ülke: Turkey


Orcid: 0000-0003-3622-4543
Yazar: Mustafa Şahin
Kurum: Kahramanmaraş Sütçü Imam University
Ülke: Turkey


Tarihler

Yayımlanma Tarihi : 1 Ocak 2020

Bibtex @araştırma makalesi { bsengineering627982, journal = {Black Sea Journal of Engineering and Science}, issn = {}, eissn = {2619-8991}, address = {bsjsci@blackseapublishers.com}, publisher = {Uğur ŞEN}, year = {2020}, volume = {3}, pages = {15 - 18}, doi = {10.34248/bsengineering.627982}, title = {Survival Analysis and Application in Livestock}, key = {cite}, author = {YAVUZ, Esra and Şahin, Mustafa} }
APA YAVUZ, E , Şahin, M . (2020). Survival Analysis and Application in Livestock. Black Sea Journal of Engineering and Science , 3 (1) , 15-18 . DOI: 10.34248/bsengineering.627982
MLA YAVUZ, E , Şahin, M . "Survival Analysis and Application in Livestock". Black Sea Journal of Engineering and Science 3 (2020 ): 15-18 <https://dergipark.org.tr/tr/pub/bsengineering/issue/49550/627982>
Chicago YAVUZ, E , Şahin, M . "Survival Analysis and Application in Livestock". Black Sea Journal of Engineering and Science 3 (2020 ): 15-18
RIS TY - JOUR T1 - Survival Analysis and Application in Livestock AU - Esra YAVUZ , Mustafa Şahin Y1 - 2020 PY - 2020 N1 - doi: 10.34248/bsengineering.627982 DO - 10.34248/bsengineering.627982 T2 - Black Sea Journal of Engineering and Science JF - Journal JO - JOR SP - 15 EP - 18 VL - 3 IS - 1 SN - -2619-8991 M3 - doi: 10.34248/bsengineering.627982 UR - https://doi.org/10.34248/bsengineering.627982 Y2 - 2019 ER -
EndNote %0 Black Sea Journal of Engineering and Science Survival Analysis and Application in Livestock %A Esra YAVUZ , Mustafa Şahin %T Survival Analysis and Application in Livestock %D 2020 %J Black Sea Journal of Engineering and Science %P -2619-8991 %V 3 %N 1 %R doi: 10.34248/bsengineering.627982 %U 10.34248/bsengineering.627982
ISNAD YAVUZ, Esra , Şahin, Mustafa . "Survival Analysis and Application in Livestock". Black Sea Journal of Engineering and Science 3 / 1 (Ocak 2020): 15-18 . https://doi.org/10.34248/bsengineering.627982
AMA YAVUZ E , Şahin M . Survival Analysis and Application in Livestock. BSJ Eng. Sci.. 2020; 3(1): 15-18.
Vancouver YAVUZ E , Şahin M . Survival Analysis and Application in Livestock. Black Sea Journal of Engineering and Science. 2020; 3(1): 18-15.