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We obtained summary utilization files for all Massachusetts acute care hospitals that reported to the DHCFP from 2003 to 2006.
By repeating this process 104 times, we obtained summary statistic distributions from which we could calculate means and variances across loci.
However, when summarizing the longitudinal variables, the reliability of the obtained summary variables varies between patients.
Furthermore we obtained summary functional information concerning educational attainment to confirm the results of our testing.
We obtained summary risk estimates in meta-analyses using fixed- or random-effects models.
We obtained summary estimates of overall and subgroup relative risk ratios using a random effects model.
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Sampling weights are provided in the dataset and used to obtain summary statistics and estimates.
We used the DerSimonian and Laird model for random effects to obtain summary estimates across studies.
Health dimension scales are usually computed as described and are combined to obtain summary indices: the Physical Component Summary (PCS), Mental Component Summary (MCS), and Arthritis-Specific Health Index (ASHI) [21, 22, 23].
Joint analysis: In this strategy, we jointly meta-analyzed all three databases (Mayo tier 1, Mayo tier 2, NINDS) to obtain summary effects.
Standard methods were used to obtain summary statistics, such as means, prevalence and other measures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com