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CrossRef Text and Data Mining |
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
Estimating the Survival of Patients With Lung Cancer: What Is the Best Statistical Model? |
Siavosh Abedi, Ghasem Janbabaei, Mahdi Afshari, Mahmood Moosazadeh, Masoumeh Rashidi Alashti, Akbar Hedayatizadeh-Omran, Reza Alizadeh-Navaei, Ehsan Abedini |
J Prev Med Public Health. 2019;52(2):140-144. Published online 2019 February 18 DOI: https://doi.org/10.3961/jpmph.17.090 |
Estimating the Survival of Patients With Lung Cancer: What Is the Best Statistical Model? The survival outcomes of patients with lung cancer managed as best supportive care ALK Inhibitors: What Is the Best Way to Treat Patients With ALK+ Non–Small-Cell Lung Cancer? Median survival: An original approach for long term survival in lung cancer patients Estimating renal function in lung cancer patients Prognostic factors for survival interminal lung cancer patients 4267 What is the best way to follow-up lung cancer patients? Findings from a systematic review and the development of a new model of care Survival analysis of untreated patients with non-small-cell lung cancer Long-time survival of patients with lung cancer before and after screening Estimating Survival in Patients with Non-Small-Cell Lung Cancer and Brain Metastases: A Verification of the Graded Prognostic Assessment for Lung Cancer Using Molecular Markers (Lung-molGPA) |
This metadata service is kindly provided by CrossRef from May 29, 2014. J Prev Med Public Health has participated in CrossRef Text and Data Mining service since October 29, 2014. |