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Both educational attainment and community SES were independently associated with knee OA after adjusting for primary risk factors for knee OA.
Cox regression analysis revealed that 28- and 90-day all-cause mortality rates were significantly lower under SCT control, after adjusting for primary diagnosis, emergent surgical cases, Charlson Comorbidity Index and biochemical parameters.
Using negative binomial regression, adjusting for primary care trust and accounting for length of follow-up, we analysed the number of hospital admissions, the number of days in hospital, and the number of emergency ambulance calls received for falls over 12 months.
We compared the Barthel index, the Nottingham extended activities of daily living, and falls efficacy scale using linear regression or logistic regression, splitting the outcome at the median if the assumptions of linear regression were not valid, and adjusting for primary care trust and baseline values of each respective variable.
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However, we did adjust for primary indication to help account for this possible confounder.
The propensity score was estimated using a logistic regression model adjusted for primary site, gender, age, history of chemotherapy, and ECOG performance status.
† Model 2. Adjusted for primary care physician specialty (reference category: FP), US region (reference category: Northeast), and race/ethnicity (reference category: white).
The hazard ratio from the Cox regression model was 0.32 (95% confidence interval 0.23 to 0.44) adjusted for primary care trust.
We evaluated three sets of models: a) models adjusted only for creatinine, b) core models adjusted for primary potential confounders, and c) full models also adjusted for additional predictors of a priori interest.
Secondly, as this was an unselected consecutive patient cohort, we did not adjust for primary diagnosis, ASA score, cognitive function, or component malposition which are also recognized risk factors for dislocation (Lewinnek et al. 1978, Fackler and Poss 1980, Jolles et al. 2002, Nishii et al. 2004, Hailer et al. 2012, Ravi et al. 2014).
To achieve 90% power to detect such an effect or larger using a two-sided independent samples t test at the 2.5% significance level (adjusting for 2 primary outcomes), would require 119 subjects per group.
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CEO of Professional Science Editing for Scientists @ prosciediting.com