2.4. Statistical Analysis
Data in this study were analyzed statistically using the software
packages R version 3.6.2
(https://www.r-project.org/)
and RStudio version 1.1.463
(https://rstudio.com/). The
χ2 test was used to compare differences inCryptosporidium or rotavirus infection rates by age group or
diarrhea status. Logistic regression was used to assess the association
between putative risk factors and the occurrence of diarrhea, using data
from 213 pre-weaned and post-weaned calves during and after the diarrhea
outbreak. Initially, the strength of association was assessed using
univariate analysis. Variables with P ≤ 0.2 were thereafter used
to build a multivariate model, with P < 0.05 being
considered significant in the final model. Odds ratios (OR) with 95%
confidence intervals (CI) were used to identify risk factors for
diarrhea occurrence.