For most variables, the mean between-studies difference was consistent with slight under-reporting relative to the measured quantities (P ≤ 0.002 for t-tests).
Means ± between-study SDs for the mean study characteristics from 22 trials were as follows: age 55 ± 5 years, percent men 63 ± 23, BMI 28 ± 3 kg/m, percent using hypoglycemia agents 52 ± 31, and diabetes duration 6 ± 1 years.
The mean overlap between studies with the same tissue is 20% and for studies using different tissues is 12%.
The asymmetry of limits of agreement around 0 for waist circumference, and waist-to-hip and waist-to-height ratios reflect the greater mean differences between studies for these variables.
Moreover, the ability to develop hypotheses regarding the social, cultural, behavioural, political or health care differences between countries means that studies comparing inter-country variability in the magnitude of inequalities in health are of key importance in identifying opportunities to achieve these reductions [ 4].
A one-sample t-test was used to compare means between the study sample and the normal population.
Costs for hospital re-admissions in Part 1 were collected from the hospital accounting database, but revealed no statistically significant difference in means between the study arms (table 1).
Mean CCT and mean IOP differences between study and control groups were analyzed individually by independent student t-test.
"Y ou study what?" I'm an ecologist, which means I study the relationship between plants, animals, and the physical environment they live in.
For the random-effects models, the posterior mean of the between-study standard deviation (SD) parameter was used to investigate the impact of the inclusion of the covariates on explaining (reducing) heterogeneity.
