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A statistical modelling approach for the analysis of TMD chronic pain data. (English) Zbl 1156.62366

Summary: This paper presents a discrete mixture model as a suitable approach for the analysis of chronic pain data, when they are expressed by means of ordered scores (ratings). The model is developed to allow for covariate effects, parameters estimation by maximum likelihood (using an E-M algorithm) and related inferential issues are discussed. A case-study concerning the assessment of pain (for a given pathology) and the effect of patients’ covariates (e.g., gender, depression state) is illustrated. Besides, the same covariates are considered also for explaining the disruption in everyday lifestyle due to the chronic pain condition.

MSC:

62P10 Applications of statistics to biology and medical sciences; meta analysis
92C50 Medical applications (general)
62F25 Parametric tolerance and confidence regions
65C60 Computational problems in statistics (MSC2010)
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