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At 1 year the relationship between the BPAQ change score from baseline (pre-LBP) to BPAQ score at 1 year (ΔBPAQ) with the outcome of on-going LBP (Y/N) will also be explored using logistic regression.
Thereafter, the variation in its prevalence by ethnic group, age, sex, employment status and deprivation will be explored using logistic regression models which may also incorporate a random effects term for general practices.
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The relationships between the presence/absence of each guild and environmental variables were explored using logistic regression analyses.
The association between the relevant pregnancy outcome and TTP was explored using logistic regression analysis, with effects on risk being estimated by odds ratios with 95% confidence intervals.
Predictors were explored using logistic regression analysis.
Relationships between NSAID use and all cause and CVD mortality were explored using logistic regression.
Factors that may be associated with histopathological progression were explored using logistic regression analysis.
Predictors of dropout, assessed at the time of program enrolment, were explored using logistic regression analysis.
Associations with elevated hsCRP and SAA were explored using logistic regression.
Derived weights were applied to the data in accordance with the study design and associations were explored using logistic regression.
The impact of clinical and sociodemographic factors on the need for help to complete questionnaires was explored using logistic regression.
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