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The impact of using different categorisation methods on identifying risk factors for resistance is unknown.
Different categorisation schemes were shown to have a substantial impact on study results, particularly for the antibiotic exposures associated with resistance.
Different categorisation of the groups of bundle completion did not alter the results.
However, the variation in the adjusted survival estimates among the different categorisation schemes was strongly reduced for all cancer sites.
While NFHS and CNSM used similar classifications for the source of drinking water and sanitation facilities, the HUNGaMA survey used a different categorisation.
This means that one might obtain different categorisation proposals for the same predictor, if one were to consider different outcomes or different modelling approaches.
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We have tried some different categorisations such as considering four educational attainment categories or even a continuous variable.
Similarly, the three most consistently analysed clauses (excluding the clause with 100% consistency) included a mix of different categorisations and did not follow an identifiable trend.
Nevertheless, different scales may lead to different categorisations.
We recognise the potential value in treating reward size in a continuous manner and testing different categorisations.
One important reason for this concerns the inadequate use of statistical methods for continuous predictors, such as age or haemoglobin, finally leading to difficulties in comparing multivariable models with different categorisations of the factors (Simon and Altman, 1994).
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