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* = Prevalence estimates weighted to represent non-institutionalized U.S. population aged 54 or older.
For univariate and bivariate comparisons, we present prevalence estimates weighted to the underlying population distribution.
In the 85+ group, 67% of the samples were women compared with 54% in the 65 84 age group (all estimates weighted to the UK 2011 population structure see methods).
All estimates weighted to reflect sampling probabilities.
Estimates weighted to the age and sex distribution of the general Canadian population are reported.
We used multivariable logistic and linear regression to adjust for potential confounders and to produce weighted estimates (weighted to adjust for covariates and to account for clustering using the LSMEANS feature of the GENMOD procedure in SAS, SAS Institute, Cary, NC).
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It is our contention that if reliable data on disease incidence are captured, thereby allowing sampling weights to be estimated, weighted regression analysis of CCF data can provide a useful, flexible, and effective analytic tool.
Both means and SDs are needed to estimate effect sizes, and sample sizes are also needed to estimate weighted effect sizes.
Finally, to estimate weighted prevalence ratios, we used Poisson regression [ 16].
Forest plots from random effects modeling [ 23] were generated to estimate weighted group mean differences in depression scores, 95% confidence intervals (CIs), and corresponding p-values for heterogeneity.
Binary logistic regression for survey data were used to estimate weighted adjusted odds ratios with 95% CIs using the Wald P-value.
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