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The main objective of this paper is to use Ordinal Logistic Regression Modeling (OLRM) to predict and to investigate the relationship(s) between the different types of failures encountered in tableting tools of pharmaceutical industry and relevant tablet- and punch attributes.
Non-parametric data will use ordinal logistic regression.
We considered, but did not use, ordinal logistic regression because initial analysis provided evidence of violation of the proportional odds assumption.
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Data were analyzed using ordinal logistic regression.
The analysis was performed using ordinal logistic regression analysis.
We used ordinal logistic regression model to analyze community attitude towards wildlife conservation.
Classifiers for tumour margin were constructed using ordinal logistic regression, also subject to elastic net constraints.
In 2010, Smedby and Fredrikson proposed a method for analysing ranked visual grading data using ordinal logistic regression analysis [26].
Data from the questionnaire were analyzed using ordinal logistic regression analyses to determine significant factors for veterinarians' use of personal protective equipment (PPE).
The study estimated the three KAP regression models using ordinal logistic regression analysis to determine the likelihood of greater knowledge, beliefs, and perception.
The effect of T0 response group ("at risk" vs "low/no risk") on change response was measured using ordinal logistic regression with proportional odds.
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