Differences in prevalence between the geographical areas were then assessed by statistic analysis using univariable logistic regression analysis, where the lamb was the study unit and the dependent variable was footrot status of the lamb (absent or present, according to previously described definition).
Differences in baseline characteristics were tested using univariable logistic regression analysis, multivariable models were calculated using variables significant at univariable analysis, and binary logistic multivariable regression analyses were performed to test for independent predictors of deep pelvic nodal involvement.
Continuous variables and their associations with the endpoints were assessed using univariable logistic regression analysis.
Epidemiological risk factors for acquiring T. gondii between DAT seroreactive and nonreactive camels were compared using univariable logistic regression analysis.
The association between an assigned genotype (as the outcome) and age and sex (separately) was evaluated by using univariable logistic regression analysis.
Secondly, using univariable logistic regression analysis of concordant decisions about indications, we will explore which demographic, professional, and clinical factors can explain variation in reliability of therapists' decisions with specific attention to the contribution of PIVM assessment.
Nine variables [age ≥64 years, BMI ≥30 kg/m, diabetes (DM), left ventricular ejection fraction (LVEF) ≤40%, abnormal perfusion, eGFR 30 44.9 mL/min/1.73 cm, eGFR 45 60 mL/min/1.73 cm, eGFR >60 mL/min/1.73 cm, and beta-blocker use) were chosen based on their potential association with cardiac autonomic function and HRR and evaluated using univariable logistic regression analysis.
Associations between the dependent variable, serological response ≥ 0.5 IU/mL or < 0.5 IU/mL and each of the potential risk factors; type of vaccine, day of sampling after last vaccination, number of vaccinations, age at vaccination, breed size, pure-bred or not, and gender were first investigated using univariable logistic regression analysis.
Potential risk factors were screened using univariable logistic regression prior to multivariable model building.
The relationships between potential predictors and dog ownership status were examined using univariable logistic regression.
Associations between individual characteristics and screening uptake were analysed using univariable logistic regression.
