Multiple regression analysis is appropriate for multivariate analyses with a continuous outcome variable.
The relationship between continuous predictors and a continuous outcome may be complex and difficult to interpret.
This might potentially bias results as compared to what would be obtained by a continuous outcome variable.
Conclusions: Most authors of recently published neonatal RCTs in 5 high-profile journals either failed to specify a primary end point or chose a continuous outcome measure.
Randomized clinical trials that compare two treatments on a continuous outcome can be analyzed using analysis of covariance (ANCOVA) or a t-test approach.
Thus, it was not feasible to analyze the data as a continuous outcome.
Attained height (expressed in centimeters) was specified as a continuous outcome.
The Kolmogorov-Smirnov test was used to test whether the distribution of a continuous outcome follows a normal distribution.
For a continuous outcome, the exact power can be derived by the variance explained alone (see later sections).
When a continuous outcome variable is considered, we use analysis of covariance to control for baseline variables.
The score will be analyzed as a continuous outcome variable.
