بررسی عملکرد و کاربرد روش تحلیل درختی در تحقیقات اجتماعی

-  طالبان، محمدرضا، (1388). درآمدیروششناسانهبرتحلیلبولیفورانازانقلابایران، فصلنامه علوم اجتماعی، شماره 42، 43.

-  کوثری، مسعود، (1386). تحلیلمقایسه‌ایکیفیدرعلوماجتماعی، نامه علوم اجتماعی، شماره 31.

-  محمدی، نعیما. (1393). بررسی موردی مطالبات زنان در کشورهای ترکیه، مصر، عربستان سعودی و مالزی. فصلنامه مطالعات سیاسی جهان اسلام. دوره 4، شماره 12.

-  محمدی، نعیما. (1392). بررسی جامعه شناختی جنبش‌های اجتماعی زنان در کشورهای عضو کنفرانس اسلامی. رساله دوره دکتری، رشته جامعه شناسی سیاسی. دانشگاه تربیت مدرس.

-    Banerjee M, Biswas D, Sakr W and Wood D. (2000). Recursive partitioning for prognostic grouping of patients with clinically localized prostate carcinoma. American Cancer Society, 89: 404-411.

-    Breiman L, Friedman J.H., OlShen R. A. and Ston C. J. (1984). Classification and Regression Trees. California, A Division of Wadsworth Inc.

-    Callaghan F. (2008). Classification trees for survival data with competing risk. [dissertation], Doctor of philosophy, University of Pitters burgh,

-    Cappelli C, D'Elia A. (2006). A tree-based method for selection of variables in models for ordinal data, Quaderni di Statistica, 8: 125-135.

-    Dean L.S. (2007). A Method for detecting optimal splits over time in survival analysis using. tree-structured models. [dissertation], Doctor of philosophy, University of Pitters.burgh.

-    Garzotto M, Beer T, Hodson R, Peters L, Hsieh Y, Barrera E,Klien T,Mori M. (2005). Improved detection of prostate cancer using classification and regression tree analysis, Clinical Oncology; 23 (19): 4322-4329.

-    Gimotty P, Elder D, Fraker D, Botbyl J,Seller K, Elenitsas R, Ming M E, Schuchter, L, Spitz F R,Czerniecki B J,Guerry D. (2007). Identification of high-risk patients among those diagnosed with thin cutaneous melanomas, Clinical Oncology; 25(9): 1129-1134.

-    Hess K R, Abbruzzese M C, Lenzi R, Raber M N, Abbruzzese J L. (1999). Classification and regression tree analysis 0f 1000 consecutive patients with unknown primary carcinoma. Clinical Cancer Research; 5: 3403-3410.

-    Hothorn T, Hornik K, Zeileis A. (2008). Unbiased recursive partitioning: A Conditional inference framework. Journal of Computational and Graphical Statistics, 15(3): 651-674.

-    Hothorn T, Hornik K, Zeileis A. (2006). Unbiased Recursive Partitioning: A Conditional Inference Framework. Computational and Graphical statistics; 15(3):651-674.

-    Kantardzic M (2003).Data Mining: Concept, Model, Method and Algorithms. Wiley, Inter science.

-    Lamborn K. Chang S and Prados M. (2004). Prognostic factors for survival of patients with glioblastoma: Recursive partitioning analysis. Nerro_Oncology; 6: 227-235.

-    Liu J, Letaief K, Coa Z et al. (2004). A Reduced- complexity maximum-likelihood method for Multiuser detection, IEEE Transaction on Communication, 25(2):289-295.

-    Molinaro A, Dudoit S, Van der Laan M. (2004). Tree-based multivariate regression and density estimation with right-censored data. Multivariate Analysis, 90: 154-177.

-    Oberc M. (1993). Tree-structured methods for the proportional hazards model. [dissertation], Doctor of philosophy, University of Toronto,

-    Schittgen R. (1999). Regression trees for survival Data-an approach to select Discontinuous split points by rank statistics Biometrical Journal; 41: 943-954.

-    Segal M. (1988). Regression trees for Censored data. Biometrics,44: 35-48.

-    Takashi O, Cook E.F, NakaMura T,Saito J, Ikawa F, Fukui T. (2006). Risk stratification for in-hospital mortality in spontaneous intra cerebral haemorrhage: A Classification and Regression Tree analysis. QJ Med,99: 743-750.

-    Wang J. (2002). Tree-structured classification for multivariate binary responses. [Dissertation], Doctor of philosophy, North Carolina State University.

-    Wernecke K, Possinger K, Kalb G and Stein J. Validating classification

-    WU Y, Genton M, Stefanski L. (2009). A Comparison of Node-Splitting Rules in Recursive Partitioning Analysis of Multivariate Quantitative Structure Activity Data. Statistics in Biopharmaceutical Research, 1(2): 119-130.