Two datasets inform the present study: (i) the occurrence of white patches and spots in the fur of adult mice from 2010 to 2016 (n = 2727) which was analysed with
a binary logistic regression using white (1) and wild - type (0) as outcome and the date of monitoring (day / month / year) as the predictor variable.
Binary logistic regression with the enter method was used to find out the significant variables at level of 0.05 % and the CI of odds ratio (OR) was calculated.
Binary logistic regression was employed for multivariable analysis, as the dependent variable was dichotomous.
In order to be able to predict singlehood,
a binary logistic regression analysis was used (coupled vs. single, coded as coupled = 0 and single = 1).