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We pursued this to investigate if there were differences in the factors that influenced the probabilities of being off work as a result of sickness and differences in the amount of variation among general practices between the two groups.
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Age and years of farming experience significantly (p < 0.01) and negatively influenced the probability of a farmer eating whiles applying pesticides.
Age and years of farming experience significantly (p < 0.05) and positively influenced the probability of a farmer to talk during pesticide application.
We included only the persons who could have actively influenced the probability of their accidents.
Women sociodemographic characteristics, health behaviours and conditions influenced the probability of agreement.
They showed in their experiment that the breed of the ram and the ewe influenced the probability of developing entropion.
The year of the visit was the only variable that significantly influenced the probability of asking advice.
Although the sample size is rather small, neither age, sex or group membership influenced the probability of exhibiting a preference.
In addition, we performed a logistic regression to determine which variables influenced the probability of asking advice.
We cannot exclude, however, that unobserved factors may have influenced the probability of a DK-response and were not picked up in the weighting and imputation.
Additional bias could accrue if infirmity influenced the probability of capture, thereby resulting in over- or underestimates of apparent prevalence (31 – 31 ).
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