Main Subjects = Modeling biostatistic
Number of Articles: 17
1. Developing a Prediction Score for the Diagnosis of Malignant Pleural Effusion: MPE Score

Volume 23, Issue 1, January 2022, Pages 25-31

Chaichana Chantharakhit; Nantapa Sujaritvanichpong

2. Physical Features and Vital Signs Predict Serum Albumin and Globulin Concentrations Using Machine Learning

Volume 22, Issue 2, February 2021, Pages 333-340

Jing Wei; Jie Xiang; Yousef Yasin; Andrew Barszczyk; Deanne Tak On Wah; Meifen Yu; Wendy Wenyu Huang; Zhong-Ping Feng; Kang Lee; Hong Luo

3. Global Trend of Breast Cancer Mortality Rate: A 25-Year Study

Volume 20, Issue 7, July 2019, Pages 2015-2020

Nasrindokht Azamjah; Yasaman Soltan-Zadeh; Farid Zayeri

4. The Correlation of Blood Parameters with Size in Cases of Neoplastic Tumor

Volume 20, Issue 1, January 2019, Pages 53-57

Edyta Wolny-Rokicka; Jerzy Wydmański; Andrzej Tukiendorf; Piotr Mróz; Katarzyna Gramacka; Agnieszka Namysł-Kaletka; Jakub Lipiński; Agniszka Zembroń-Łacny

5. Determining Overall Survival and Risk Factors in Esophageal Cancer Using Censored Quantile Regression

Volume 19, Issue 11, November 2018, Pages 3081-3086

Elaheh Zarean; Mahmoud Mahmoudi; Tara Azimi; Payam Amini

6. Repeated Measures Models Applied to Cancer Patients Treated with Exergames

Volume 19, Issue 8, August 2018, Pages 2171-2176

Isabela Pagani Heringer de Miranda; Denismar Alves Nogueira; Natalia da Silva Martins; Ricardo da Silva Alves; Leonardo Carvalho

7. Diagnostic Accuracy of Different Machine Learning Algorithms for Breast Cancer Risk Calculation: a Meta-Analysis

Volume 19, Issue 7, July 2018, Pages 1747-1752

Ricvan Dana Nindrea; Teguh Aryandono; Lutfan Lazuardi; Iwan Dwiprahasto

8. Joint Spatio-temporal Shared Component Model with an Application in Iran Cancer Data

Volume 19, Issue 6, June 2018, Pages 1553-1560

Behzad Mahaki; Yadollah Mehrabi; Amir Kavousi; Volker J Schmid

9. Assessing Breast Cancer Risk with an Artificial Neural Network

Volume 19, Issue 4, April 2018, Pages 1017-1019

Mojtaba Sepandi; Maryam Taghdir; Abbas Rezaianzadeh; Salar Rahimikazerooni

10. Comparison of Survival Models for Analyzing Prognostic Factors in Gastric Cancer Patients

Volume 19, Issue 3, March 2018, Pages 749-753

Danial Habibi; Mohammad Rafiei; Ali Chehrei; Zahra Shayan; Soheil Tafagodi

11. Predicting the Survival of Gastric Cancer Patients Using Artificial and Bayesian Neural Networks

Volume 19, Issue 2, February 2018, Pages 487-490

Azam korhani Kangi; Abbas Bahrampour

12. Cox Regression and Parametric Models: Comparison of How They Determine Factors Influencing Survival of Patients with Non-Small Cell Lung Carcinoma

Volume 18, Issue 12, December 2017, Pages 3389-3393

Elahe Khaksar; Mohsen Askarishahi; Seyedhossein Hekmatimoghaddam; Hassanali Vahedian_Ardakani

13. Long-Term Disease-Free Survival of Non-Metastatic Breast Cancer Patients in Iran: A Survival Model with Competing Risks Taking Cure Fraction and Frailty into Account

Volume 18, Issue 10, October 2017, Pages 2825-2832

Vahid Ghavami; Mahmood Mahmoudi; Abbas Rahimi Foroushani; Hossein Baghishani; Fatemeh Homaei-Shandiz; Mehdi Yaseri

14. Assessment of Adaptive Breast Cancer Screening Policies for Improved Mortality Reduction in Low to Middle Income Countries

Volume 18, Issue 9, September 2017, Pages 2375-2380

Baban Wagh; Ramesh Chaluvarayaswamy; Debnath Pal

15. Evaluation of a Skin Self-Examination Programme: a Four-Stage Recursive Model

Volume 18, Issue 4, April 2017, Pages 1063-1067

David Rowell; Kim-Huong Nguyen; Peter Baade; Monika Janda

16. Association between Stereotactic Radiotherapy and Death from Brain Metastases of Epithelial Ovarian Cancer: a Gliwice Data Re-Analysis with Penalization

Volume 18, Issue 4, April 2017, Pages 1113-1116

Andrzej Tukiendorf; Mohammad Ali Mansournia; Jerzy Wydmański; Edyta Wolny-Rokicka

17. Prognostic Factors for Survival in Patients with Gastric Cancer using a Random Survival Forest

Volume 18, Issue 1, January 2017, Pages 129-134

Davoud Adham; Nategh Abbasgholizadeh; Malek Abazari

Asian Pacific Journal of Cancer Prevention

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