Statistical methods for the analysis of longitudinal data from school-based smoking prevention studies
Related Experiment Video
Updated: Aug 17, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
1Department of Statistics and Actuarial Science, University of Waterloo, Ontario, Canada.
Abstract:
The features which make longitudinal data obtained from school-based smoking prevention studies well-suited for efficient analysis by survival analysis methods are discussed. Survival analysis methods, in particular relative risk regression models, are described and illustrated through an example involving data from the Waterloo Smoking Prevention Project--Study 1. Indications of some of the possible applications for these techniques in the evaluation of interventions to prevent smoking and the study of the smoking onset process are provided.
Related Concept Videos
Longitudinal Research
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Introduction to Epidemiology
Statistical Methods for Analyzing Epidemiological Data
Longitudinal Studies
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...