Prognostic factors in head and neck squamous cell carcinoma: Comparison of CHAID decision trees technology and cox analysis

Head and Neck

Volumn 35, Issue 6, 2013, Pages 877-883

  Avilés Jurado, Francesc Xavier ^a,b   León, Xavier ^c  

^a HOSPITAL UNIVERSITARI JOAN XXIII   (Spain)

^b INSTITUT D INVESTIGACIÓ SANITÀRIA PERE VIRGILI IISPV   (Spain)

^c UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

CHAID; Cox's proportional hazard model; head and neck squamous cell carcinoma; prognostic factors; statistics

Indexed keywords

ADULT; AGED; ARTICLE; CANCER PROGNOSIS; CHISQUARE AUTOMATIC INTERACTION DETECTION MODEL; COMPARATIVE STUDY; COX PROPORTIONAL HAZARDS MODEL; FEMALE; FOLLOW UP; HEAD AND NECK SQUAMOUS CELL CARCINOMA; HUMAN; MAJOR CLINICAL STUDY; MALE; MOUTH TUMOR; PRIORITY JOURNAL; RETROSPECTIVE STUDY; STATISTICAL ANALYSIS; SURVIVAL;

AGE FACTORS; AGED; ALCOHOLISM; CARCINOMA, SQUAMOUS CELL; DECISION TREES; FEMALE; FOLLOW-UP STUDIES; HEAD AND NECK NEOPLASMS; HUMANS; MALE; MIDDLE AGED; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; RETROSPECTIVE STUDIES; RISK FACTORS; SEX FACTORS;

EID: 84878015719     PISSN: 10433074     EISSN: 10970347     Source Type: Journal    
DOI: 10.1002/hed.23058     Document Type: Article

References (18)

1. Altman DG,. Studies investigating prognostic factors: conduct and evaluation. In:, Gospodarowicz M, O'sullivan B, Sobin L, editors. Prognostic factors in cancer. 3rd ed. International Union Against Cancer. New York: Wiley; 2006. pp. 39-54.
2. Lefebvre J-L, Lartigau E, Kara A, Sarini J,. Oral cavity, pharynx, and larynx cancer. 2nd ed. New York: Wiley-Liss; 2001.
3. Ciampi A, Lawless JF, McKinney SM, Singhal K,. Regression and recursive partition strategies in the analysis of medical survival data. J Clin Epidemiol 1988; 41: 737-748.
4. James KE, White RF, Kraemer HC,. Repeated split sample validation to assess logistic regression and recursive partitioning: an application to the prediction of cognitive impairment. Stat Med 2005; 24: 3019-3035.
5. Kattan MW, Hess KR, Beck JR,. Experiments to determine whether recursive partitioning (CART) or an artificial neural network overcomes theoretical limitations of Cox proportional hazards regression. Comput Biomed Res 1998; 31: 363-373.
6. Ciampi A, Negassa A, Lou Z,. Tree-structured prediction for censored survival data and the Cox model. J Clin Epidemiol 1995; 48: 675-689.
7. Kattan MW, Beck JR,. Artificial neural networks for medical classification decisions. Arch Pathol Lab Med 1995; 119: 672-677.
8. Chan F, Cheing G, Chan JY, Rosenthal DA, Chronister J,. Predicting employment outcomes of rehabilitation clients with orthopedic disabilities: a CHAID analysis. Disabil Rehabil 2006; 28: 257-270.
9. Trujillano J, Badia M, Serviá L, March J, Rodriguez-Pozo A,. Stratification of the severity of critically ill patients with classification trees. BMC Med Res Methodol 2009; 9: 83.
10. Biggs D, De Ville B, Suen E,. A method of choosing multiway partitions for classification and decision trees. J Appl Stat 1991; 18: 49-62.
11. León X, Orús C, Quer M,. Design, maintenance, and exploitation of an oncologic database for patients with malignant tumors of the head and neck. [Article in Spanish] Acta Otorrinolaringol Esp 2002; 53: 185-190.
12. Sobin LH, Wittekind C,. TNM classification of malignant tumours, 6th edition. New Jersey: John Wiley & Sons; 2002.
13. Karnofsky DA, Abelmann WH, Craver LF, Burchenal JH,. The use of nitrogen mustards in the palliative treatment of carcinoma. Cancer. 1948; 1: 634-656.
14. Stevenson JC, Mahoney ER, Walker PL, Everson PM,. Technical note: prediction of sex based on five skull traits using decision analysis (CHAID). Am J Phys Anthropol 2009; 139: 434-441.
15. Trujillano J, Sarria-Santamera A, Esquerda A, Badia M, Palma M, March J,. Approach to the methodology of classification and regression trees. [Article in Spanish]. Gac Sanit 2008; 22: 65-72.
16. Koch WM, Ridge JA, Forastiere A, Manola J,. Comparison of clinical and pathological staging in head and neck squamous cell carcinoma: results from Intergroup Study ECOG 4393/RTOG 9614. Arch Otolaryngol Head Neck Surg 2009; 135: 851-858.
17. Chen PH, Ko YC, Yang YH, et al. Important prognostic factors of long-term oropharyngeal carcinoma survivors in Taiwan. Oral Oncol 2004; 40: 847-855.
18. Burke HB, Henson DE,. The American Joint Committee on Cancer. Criteria for prognostic factors and for an enhanced prognostic system. Cancer 1993; 72: 3131-3135.