Sentence examples for multiple sequential regression from inspiring English sources
Multiple sequential regression analysis showed that, after adjustment for TUG floor surface correlates of physical function included age, sex, education, physical activity (weekly energy expenditure), general health, bodily pain, number of medications taken per day, depression and Body Mass Index.
Multiple imputed sequential regression models have the advantage of grater interpretability and can be used for health policy.
We use unimputed data and assumed all missing variables were missing completely at random (MCAR) and confirmed this assumption by doing multiple imputations (using sequential regression multivariate imputation (SRMI) method) which produced similar results.
All missing data was assumed missing completely at random (MCAR) and multiple imputations (using sequential regression multivariate imputation (SRMI) method) using STATA did not show any differences in study result interpretation.
We implemented multiple imputation using the sequential regression multivariate imputation approach (SRMI), also referred to as Fully Conditional Specification (FCS) and Multiple Imputation by Chained Equations (MICE): this method allows for efficient imputation by fitting a model to each variable, conditional on all others, and imputing one variable at a time [ 50, 51].
For this analysis, missing data was completed using sequential regression multiple imputations by chained equations (50 times).
The sequential regression multiple imputation (SRMI) method was used to estimate missing values, and the analyses were performed using the multiple-imputed data sets (He et al, 2010).
Missing data was handled using multiple imputation with imputed data generated using a sequential regression imputation method via the software package IVEware [ 31].
Multiple imputation was used to impute missing WC using the sequential regression imputation approach that is implemented in the software package IVEware (24).
The sequential regression methodology was applied.
The movie is even more intriguing, though, because of its multiple, sequential points of view.
