The National Institute of Health funded a research project to address a critical public health concern about lung cancer risk and the intervention of smoking cessation. The study aimed to investigate lung cancer’s relative risk (RR) and its potential variation between the intervention of smoking cessation and control groups over time. The goal was to understand the impact of interventions of smoking cessation on the risk of lung cancer, which is crucial for informed decision-making and improved health outcomes.
The project used a comprehensive survey dataset, which formed the foundation of the research. The dataset comprised survey responses from 12,000 patients collected over six years, allowing for a longitudinal examination of the RR of lung cancer among both intervention and control groups.
The hypothesis postulated a significant difference in the RR of lung cancer between the intervention of smoking cessation and control groups over time. The analysis utilized a mixed Analysis of Variance (ANOVA), a robust statistical method for examining the effects of both between-subjects factors (intervention vs. control group) and within-subjects factors (changes over time) on a continuous outcome variable (RR of lung cancer).
The analysis yielded compelling findings […]