{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:14:36Z","timestamp":1762506876822,"version":"3.37.3"},"reference-count":37,"publisher":"Wiley","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004697","name":"Hamadan University of Medical Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004697","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p><jats:italic>Background<\/jats:italic>. Breast cancer which is the most common cause of women cancer death has an increasing incidence and mortality rates in Iran. A proper modeling would correctly detect the factors\u2019 effect on breast cancer, which may be the basis of health care planning. Therefore, this study aimed to practically develop two recently introduced statistical models in order to compare them as the survival prediction tools for breast cancer patients.<jats:italic>Materials and Methods<\/jats:italic>. For this retrospective cohort study, the 18-year follow-up information of 539 breast cancer patients was analyzed by \u201cParametric Mixture Cure Model\u201d and \u201cModel-Based Recursive Partitioning.\u201d Furthermore, a simulation study was carried out to compare the performance of mentioned models for different situations.<jats:italic>Results<\/jats:italic>. \u201cModel-Based Recursive Partitioning\u201d was able to present a better description of dataset and provided a fine separation of individuals with different risk levels. Additionally the results of simulation study confirmed the superiority of this recursive partitioning for nonlinear model structures.<jats:italic>Conclusion<\/jats:italic>. \u201cModel-Based Recursive Partitioning\u201d seems to be a potential instrument for processing complex mixture cure models. Therefore, applying this model is recommended for long-term survival patients.<\/jats:p>","DOI":"10.1155\/2016\/9425629","type":"journal-article","created":{"date-parts":[[2016,8,28]],"date-time":"2016-08-28T17:05:31Z","timestamp":1472403931000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["A Comparison between Cure Model and Recursive Partitioning: A Retrospective Cohort Study of Iranian Female with Breast Cancer"],"prefix":"10.1155","volume":"2016","author":[{"given":"Mozhgan","family":"Safe","sequence":"first","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javad","family":"Faradmal","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran"},{"name":"Modeling of Noncommunicable Disease Research Center, Hamadan 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