A linear, mixed-effects model with a random study effect, weighted by number of quarters eligible for infection, was derived for each data set.
In those papers that used the one stage approach, usually all patient data from these studies were combined in a generalized linear mixed model (GLMM), accounting for the clustering among patients from the same study by including random study and or treatment effects.
These population-based studies collect information on gastrointestinal symptoms experienced by a random sample of study area residents, the severity of those symptoms, and demographic and other information.
All adults who reported on the day of recruitment benefited from a sensitization campaign, followed by a random selection of study participants and data collection.
Randomization occurred once subjects signed up for the study by a random number generator (IBM SPSS Statistics v22.0, IBM Corporation, Armonk, NY).
To avoid estimation of a completely new parameter set for RICOVER-60, we adjust for this (random) study effect by introducing a parameter lhr that adapts the survival rates of NHL-B2 to RICOVER-60 assuming proportional hazard.
Twenty public schools, ten each from the girls' and boys' categories of public schools, were randomly chosen for the study followed by a random selection of one section of class six in each of these schools to participate in the study.
Eight hundred male controls aged between 40 and 80, agreeing to participate, were selected by a random digit dialling procedure in the study area, and were stratified by four 10-year age-classes, the administrative districts and large socioeconomic classes (SEC 5 classes).
In Austrian agricultural landscapes, 1936 sampling plots within 72 study sites selected by a random procedure were investigated with regard to their bryophyte vegetation.
The results of individual studies were synthesized by a random effects model.
