Besides, our methods incorporate the least squares principle, utilize a shrinkage estimation approach to adjust the coefficients of the regression model, and apply the new coefficients of the regression model to estimate missing values.
We then used this model to estimate missing values according to the observed patient's characteristics.
44 This technique uses a regression model to estimate missing values from known values.
We developed a statistical model to estimate missing gamma exposures in the period before 1966 from annual ore productivity level, calendar year, number of shifts worked, and profession.
Better results could possibly have been attained if techniques other than linear regression models were used to estimate missing values.
A multilevel Bayesian hierarchical model was used to estimate missing data and derive the average risk factor level and their 95% uncertainty interval (UI) for each age-country-year unit.
The Linear Mixed Modeling (LMM) procedure will be used to estimate missing values.
Before planning additional experimental trials in order to complete a design matrix, trying to estimate missing data by means of prediction models could be an interesting alternative.
This was achieved by using the MAR model fit as the starting point for the numerical maximisation and the resulting estimated missing data model is shown in Table 5.
This model also estimated missed early-onset VAP occurring within 48 hours after admission.
