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They find that the first wave is associated with higher property crime, even after controlling for endogenous location using fixed effects and instrumental variables.
For the meta-analysis, we pooled the results from each site using fixed effects and random effects models.
In an additional sensitivity analysis, we ran a modelling approach which took into account the effect of each condition and combination of conditions, using fixed effects and interactions.
Stratified analyses using fixed effects and covariate-adjusted analyses had highest power for smaller sample sizes, although this is likely a result of the inflated type I error rate associated with these analysis methods.
As expected, all methods of analysis (covariate-adjusted analysis, stratified analysis using fixed effects, and a stratified analysis using random effects) gave close to nominal type I error rates after simple randomisation (results not shown) or minimisation.
The associations between caring and health-related quality of life, and between caring and carer patient experience in primary care, were investigated using mixed effect regression models adjusted for age, gender, deprivation, and ethnicity using fixed effects, and additionally for primary care practice using a random effect.
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This result was exactly the same using fixed effect and random effects approaches.
Additionally, pooled estimates calculated using fixed effect and random effect models differ only if there is lack of homogeneity between studies.
The studies were reviewed and data were extracted and analyzed using fixed-effect and random-effect models.
Minimally adjusted, minimally and SEP-adjusted, and maximally adjusted risk estimates and their standard errors were pooled using fixed-effect and random-effects meta-analyses.
We have discussed the relative merits and limitations of using fixed effects models and random effects models to interpret benchmarks.
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