Of 14 patients with regression of previously acquired skills, nine had multiple regressions, six regressed at ages older than three years, and seven had regressions occurring with infections or other metabolic stresses.
Often experiments are performed that have multiple dependent responses described by regression type models, and it is of interest and of value to design the experiment for all these responses.
Since the outcome of interest, the discharge destination, has multiple categories, a multinomial logistic regression model was used [ 36].
The logic extends to the case of a multivariate ANOVA or regression, which has multiple outcome variables.
Because individual children had multiple observations, these simple linear regression models were restricted to fecal test results at 6 months of age, predicting the change in LAZ from 6 to 9 months and from 6 to 12 months (results not shown).
Most previous research studies on the general factors related to the adoption of mobile services have used multiple regression methods (the technology acceptance mode or structural equation modeling) and some have used MCDM tools.
Many clinical studies in dental research have used multiple regression analysis to find correlations between the predictor and the response variables.
In the case of common environmental determinants the most frequent methodological approach has been multiple regression models [ 31, 34, 85].
First, some previous studies [ 7- 11] have used multiple regression or logistic regression procedures to examine the relationship between husband's PCMDs and wife's PCMDs.
Because we now find out that nine of the children (36%) had so-called "multiple regressions," and nothing in this review indicates that any attempt was made to determine if vaccines, febrile infections, or some other factors acted as triggers in the subsequent regressive episodes.
In the assessment of the measurement model, SEM has been proven to have more advantages than multiple regressions in evaluation the model fitting.
