Publications by authors named "Min-Heng Wang"
Article Synopsis
- The study investigates the validity of the Epworth Sleepiness Scale (ESS) as a measure of effectiveness for CPAP treatment in sleep apnea, addressing concerns about response shift (RS) that could distort ESS scores.
- Researchers utilized structural equation modeling (SEM) to analyze ESS data from two randomized clinical trials (RCTs) rather than relying on retrospective methods.
- Results showed that the ESS maintained its comparability across treatment and control groups, supporting its use for measuring the impact of CPAP on daytime sleepiness in larger clinical trials.
Importance: Machine learning has potential to transform cancer care by helping clinicians prioritize patients for serious illness conversations. However, models need to be evaluated for unequal performance across racial groups (ie, racial bias) so that existing racial disparities are not exacerbated.
Objective: To evaluate whether racial bias exists in a predictive machine learning model that identifies 180-day cancer mortality risk among patients with solid malignant tumors.
Dealing with missing data in multi-informant studies: A comparison of approaches.
Behav Res Methods
October 2024
Multi-informant studies are popular in social and behavioral science. However, their data analyses are challenging because data from different informants carry both shared and unique information and are often incomplete. Using Monte Carlo Simulation, the current study compares three approaches that can be used to analyze incomplete multi-informant data when there is a distinction between reference and nonreference informants.
View Article and Find Full Text PDF