Averill, T, Rekaya, R, Weigel, K 2006. Random regression models for male and female fertility evaluation using longitudinal binary data. Journal of Dairy Science 89, 3681–3689.
Carlén, E, del Schneider, MP, Strandberg, E 2005. Comparison between linear models and survival analysis for genetic evaluation of clinical mastitis in dairy cattle. Journal of Dairy Science 88, 797–803.
Carlén, E, Emanuelson, U, Strandberg, E 2006. Genetic evaluation of mastitis in dairy cattle using linear models, threshold models, and survival analysis: a simulation study. Journal of Dairy Science 89, 4049–4057.
Carlén, E, Strandberg, E, Roth, A 2004. Genetic parameters for clinical mastitis, somatic cell score, and production in the first three lactations of Swedish Holstein cows. Journal of Dairy Science 87, 3062–3070.
Chang, YM 2002. Multivariate and longitudinal models for binary data with applications to clinical mastitis in Norwegian cattle. PhD, University of Wisconsin.
Chang, YM, Gianola, D, Heringstad, B, Klemetsdal, G 2004a. Effects of trait definition on genetic parameter estimates and sire evaluation for clinical mastitis with threshold models. Animal Science 79, 355–363.
Chang, YM, Gianola, D, Heringstad, B, Klemetsdal, G 2004b. Longitudinal analysis of clinical mastitis at different stages of lactation in Norwegian cattle. Livestock Production Science 88, 251–261.
Heringstad, B, Chang, YM, Gianola, D, Klemetsdal, G 2003. Genetic analysis of longitudinal trajectory of clinical mastitis in first-lactation Norwegian cattle. Journal of Dairy Science 86, 2676–2683.
Heringstad, B, Chang, YM, Gianola, D, Klemetsdal, G 2004. Multivariate threshold model analysis of clinical mastitis in multiparous Norwegian dairy cattle. Journal of Dairy Science 87, 3038–3046.
Heringstad, B, Klemetsdal, G, Ruane, J 2000. Selection for mastitis resistance in dairy cattle: a review with focus on the situation in the Nordic countries. Livestock Production Science 64, 95–106.
Hinrichs, D, Stamer, E, Junge, W, Kalm, E 2005. Genetic analyses of mastitis data using animal threshold models and genetic correlation with production traits. Journal of Dairy Science 88, 2260–2268.
Hogan, JS, Smith, KL, Hoblet, KH, Schoenberger, PS, Todhunter, DS, Hueston, WD, Pritchard, DE, Bowman, GL, Heider, LE, Brockett, BL, Conrad, HR 1989. Field survey of clinical mastitis in low somatic cell count herds. Journal of Dairy Science 72, 1547–1556.
International Dairy Federation 1997. Recommendations for presentation of mastitis-related data. Bulletin of the IDF 321, 6–25.
Jensen, J 2001. Genetic evaluation of dairy cattle using test-day models. Journal of Dairy Science 84, 2803–2812.
Kadarmideen, HN, Thompson, R, Simm, G 2000. Linear and threshold model genetic parameters for disease, fertility and milk production in dairy cattle. Animal Science 71, 411–419.
Lund, MS, Jensen, J, Petersen, PH 1999. Estimation of genetic and phenotypic parameters for clinical mastitis, somatic cell production deviance, and protein yield in dairy cattle using Gibbs sampling. Journal of Dairy Science 82, 1045–1051.
Madsen, P, Jensen, J 2008. An user’s guide to DMU. A package for analysing multivariate mixed models. Version 6, release 4.7. University of Aarhus, Tjele, Denmark.
Negussie, E, Strandén, I, Mäntysaari, EA 2008. Genetic associations of clinical mastitis with test-day somatic cell count and milk yield during first lactation of Finnish Ayrshire. Journal of Dairy Science 91, 1189–1197.
Negussie, E, Strandén, I, Mäntysaari, EA, Tsuruta, S 2006. Genetic parameters for clinical mastitis in Finnish Ayrshire: a longitudinal threshold model analysis. Proc. 8th WCGALP, Belo Horizonte, Brazil. CD-ROM Commun. No. 24-11.
Rauw, WM, Kanis, E, Noordhuizen-Stassen, EN, Grommers, FJ 1998. Undesirable side effects of selection for high production efficiency in farm animals: a review. Livestock Production Science 56, 15–33.
Rekaya, R, Gianola, D, Weigel, K, Shook, G 2003. Longitudinal random effects models for genetic analysis of binary data with application to mastitis in dairy cattle. Genetics, Selection, Evolution 35, 457–468.
Saebø, S, Frigessi, A 2004. A genetic and spatial Bayesian analysis of mastitis resistance. Genetics, Selection, Evolution 36, 527–542.
SAS 2002. SAS Release 9.1, 2002–2003. SAS Inst. Inc., Cary, NC, USA.
Schaeffer, LR 2004. Application of random regression models in animal breeding. Livestock Production Science 86, 35–45.
Veerkamp, RF, Brotherstone, S, Engel, B, Meuwissen, THE 2001. Analysis of censored survival data using random regression models. Animal Science 72, 1–10.
Zwald, NR, Weigel, KA, Chang, YM, Welper, RD, Clay, JS 2006. Genetic analysis of clinical mastitis data from on-farm management software using threshold models. Journal of Dairy Science 89, 330–336.