Publications by authors named "Jan Scholand"
Article Synopsis
- The text discusses the challenges of analyzing survey data from clinical trials, particularly dealing with subjective measures like well-being or pain, which typically use limited discrete response options.
- It critiques the common use of ordinary linear regression for such data, as it may violate key assumptions, potentially leading to biased predictions and insights focused only on average responses.
- The authors advocate for ordinal regression models, which better handle the nature of the data by providing probabilistic estimates across all response categories and discuss their application, strengths, and limitations in a pediatric anesthesia context.
Background: Informed consent is a relevant backdrop for conducting clinical trials, particularly those involving children. While several factors are known to influence the willingness to consent to pediatric anesthesia studies, the influence of study design on consenting behavior is unknown.
Aims: To quantify the impact of study complexity on willingness to consent to pediatric anesthesia studies.