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Pesch, B., Kendzia, B., Gustavsson, P., Jöckel, K., Johnen, G., Pohlabeln, H., et al. (2011) Cigarette Smoking and Lung Cancer—Relative Risk Estimates for the Major Histological Types from a Pooled Analysis of Case-Control Studies. International Journal of Cancer, 131, 1210-1219.
https://doi.org/10.1002/ijc.27339

has been cited by the following article:

• TITLE: Estimating the Likelihood of Cancer Occurrence Based on Patient Data and Lifestyle Factors: A Comparison between Logit and Probit Regression

  AUTHORS: Wakeel A. Kasali, Barakat O. Ogunjoun, Abdullahi O. Olakehinde, Emmanuel O. Oderinde, Abibat O. Salam

  KEYWORDS: Logit, Probit, and Lung Cancer

  JOURNAL NAME: Open Access Library Journal, Vol.11 No.8, August 29, 2024

  ABSTRACT: This study compares logit and probit regression models to analyze the likelihood of lung cancer occurrence based on patient data and lifestyle factors. The results reveal significant associations between lung cancer and patients’ age, gender, smoking status, yellow finger, anxiety, chronic disease, fatigue, allergy, wheezing, alcohol consumption, coughing, shortness of breath, swallowing difficulty, and chest pain. The result shows that the probit model better predicts lung cancer based on the factors observed as its diagnostic performs better than logit. Recommendations based on the findings emphasize the need to create awareness about the significant factors that influence lung cancer. Conclusively, this study contributes to a deeper understanding of the patient’s data and lifestyle factors influencing lung cancer and provides valuable insights.