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Interactions between predictors were explored.
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Predictors were explored using logistic regression analysis.
Predictors were explored one at a time, sequentially.
The interaction between these predictors was explored.
Differences between centres were explored.
Many potential predictors of progression were explored in our analysis.
Prevalence of different symptoms was compared between men and women and patients, over and below 40 years of age, and possible predictors of recovery were explored.
Clinical predictors of interest were explored in multivariate logistic regression models.
Host, immunological and viral predictors of RP were explored through data mining.
After validation of the basic recovery model, clinical predictors of recovery were explored.
Model building was carried out manually using a backward reduction method and all potential 2-way interactions were explored between predictors of the most parsimonious model.
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