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Mental disorders can be described at multiple levels (psychological, neurobiological, genetic) but multilevel models are relatively uncommon.
Multilevel models are a logical approach to analyzing such data, and deal well with the possible different time points and treatment phases for different subjects.
8 Multilevel models are used because doctors are nested in practices.
Consequently, multilevel models are the expected analytical solutions to be derived from knowledge banks.
Compared to conventional multivariate methods, multilevel models are more flexible regarding the requirements of data.
Multilevel models are suitable to control for correlated scores within higher level units (e.g., lessons or students) and allow conceptual differences of measures at different levels of analysis.
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Multilevel models were used to examine the relationship between CABG surgery and cognitive decline over time.
Intensive training of interviewers to standardize instrument administration as well as assessment for interviewer error and its correction, using appropriate statistical models, such as multilevel models, is warranted.
The inclusion of SNPs as well as subgroup membership in multilevel models is straightforward [69].
Multilevel models were estimated using SAS version 9.2.
All multilevel models were performed using MLwiN V.2.25.
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