BI analyses were conducted using mixed models specified to each data partition.
Models specified to contain one through ten latent classes were evaluated based on Akaike's Information Criterion AICC), Bayesian Information Criterion BICC), and the sample-size adjusted BIC.
The imputation model was specified to be at least as complex as the prognostic model [ 27], including all candidate predictors.
This model was specified to ensure that we were not losing evidence when using simpler models (i.e., 1 6 in Fig. 3) and also to test model evidence when all the 3 routes aOT-PrC were included.
Based on exploratory factory analysis results, a measurement model was specified to confirm the factor structure.
A mixed logit model is specified to estimate the parameters for chosen attributes of air conditioners.
The model is specified to the case of spiropyran covalently linked into a polymethacrylate (PMA) backbone.
The regression model was specified to assess interactions of assumed publication year with all moderating variables, since significant interaction terms can be interpreted as differences of the slope due to moderating variables.
*The model was specified to include a maximum of six joinpoits.
The following linear regression model is specified to estimate the level and trend in the dependent variable before accreditation and the changes in level and trend following accreditation.
