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Estimates of log ORs or log HRs for different studies were combined using an inverse-variance weighted average in a fixed effects model: fixed effects were chosen over random effects because we did not have reason to expect different magnitude of results between studies.
Table 8 also presents the variance components for the covariates-only model (fixed effects not presented), and for each of Models 1 through 6 in the four countries.
Data type, dichotomous; effect measure, odds ratio; analysis model, fixed effects; statistical method, Mantel–Haenszel.
Model fixed effects were treatment group indicators, time indicators, and interactions between treatment group and time.
Data type, continuous; effect measure, weighted mean difference; analysis model, fixed effects; statistical method, inverse variance.
ii) Individual patient characteristics will be added to the model (fixed effects at level 1).
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To compare between the different learning phases, follow-up ANOVAs (mixed model, fixed effect of phase and random effect of subjects) for each group were done.
cMixed model fixed effects-group interaction.
bMixed model fixed effects-time interaction.
In all models, fixed effects of NL and/or DPF were included and demes were coded as random effects.
Conditional logistic regression was made for modeling fixed effects, and the twins were grouped by their pair number.
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