@article{Silva2024,
abstract = {In this work, we employ Survival Analysis to model the time until smoking relapse, considering social, demographic, and clinical variables, such as age group, gender, type of treatment, and time as a smoker. Survival curves were estimated using the Kaplan-Meier and Nelson-Aalen methods, showing group differences. The Logrank and Wilcoxon tests indicated significance only for the age group. In the Cox modeling, the type of treatment and age group stood out as relevant. It was concluded that combined treatments with three interventions are more effective, especially for young people who require greater support and awareness.},
author = {da Silva, Ana Beatriz Ramos and Cordeiro, D{\'{e}}bora de Sousa and de Souza, Giovana},
doi = {https://doi.org/10.51359/2965-4661.2024.265079},
journal = {Socioeconomic Analytics},
keywords = {Hypothesis Tests,Survival Analysis,estimation,public health,smoking},
number = {1},
pages = {144--163},
title = {{Smoking recurrence: A Survival Analysis}},
url = {https://doi.org/10.51359/2965-4661.2024.265079},
volume = {2},
year = {2024}
}