References
- Sobin LH, Gospodarowicz MK, Wittekind C, eds. TNM classification of malignant tumours. New York: John Wiley & Sons, 2011.
- Gospodarowicz M, O'Sullivan B. Prognostic factors in cancer. Semin Surg Oncol 2003;21:13-18. https://doi.org/10.1002/ssu.10016
- Cox DR. Regression models and life-tables. J R Stat Soc Series B Stat Methodol 1972;34:187-220.
- Bradburn MJ, Clark TG, Love SB, Altman DG. Survival analysis part II: multivariate data analysis: an introduction to concepts and methods. Br J Cancer 2003;89:431-436. https://doi.org/10.1038/sj.bjc.6601119
- Ahmed FE, Vos PW, Holbert D. Modeling survival in colon cancer: a methodological review. Mol Cancer 2007;6:15. https://doi.org/10.1186/1476-4598-6-15
- Hilsenbeck SG, Ravdin PM, de Moor CA, Chamness GC, Osborne CK, Clark GM. Time-dependence of hazard ratios for prognostic factors in primary breast cancer. In: Gasparini G, ed. Prognostic variables in node-negative and node-positive breast cancer. Boston, MA: Springer, 1998:317-327.
- Bellera CA, MacGrogan G, Debled M, de Lara CT, Brouste V, Mathoulin-Pelissier S. Variables with time-varying effects and the Cox model: some statistical concepts illustrated with a prognostic factor study in breast cancer. BMC Med Res Methodol 2010;10:20. https://doi.org/10.1186/1471-2288-10-20
- Warwick J, Tabar L, Vitak B, Duffy SW. Time-dependent effects on survival in breast carcinoma: results of 20 years of followup from the Swedish two-county study. Cancer 2004;100:1331-1336. https://doi.org/10.1002/cncr.20140
- Kattan MW, Karpeh MS, Mazumdar M, Brennan MF. Postoperative nomogram for disease-specific survival after an R0 resection for gastric carcinoma. J Clin Oncol 2003;21:3647-3650. https://doi.org/10.1200/JCO.2003.01.240
- Eom BW, Ryu KW, Nam BH, Park Y, Lee HJ, Kim MC, et al. Survival nomogram for curatively resected Korean gastric cancer patients: multicenter retrospective analysis with external validation. PLoS One 2015;10:e0119671. https://doi.org/10.1371/journal.pone.0119671
- Park JI, Jin SH, Bang HY, Paik NS, Moon NM, Lee JI. Survival rates after operation for gastric cancer: fifteen-year experience at a Korea Cancer Center Hospital. J Korean Gastric Cancer Assoc 2008;8:9-19. https://doi.org/10.5230/jkgca.2008.8.1.9
- Sakuramoto S, Sasako M, Yamaguchi T, Kinoshita T, Fujii M, Nashimoto A, et al; ACTS-GC Group. Adjuvant chemotherapy for gastric cancer with S-1, an oral fluoropyrimidine. N Engl J Med 2007;357:1810-1820. https://doi.org/10.1056/NEJMoa072252
- Songun I, Putter H, Kranenbarg EM, Sasako M, van de Velde CJ. Surgical treatment of gastric cancer: 15-year follow-up results of the randomised nationwide Dutch D1D2 trial. Lancet Oncol 2010;11:439-449. https://doi.org/10.1016/S1470-2045(10)70070-X
- Tsujimoto H, Ichikura T, Ono S, Sugasawa H, Hiraki S, Sakamoto N, et al. Impact of postoperative infection on long-term survival after potentially curative resection for gastric cancer. Ann Surg Oncol 2009;16:311-318. https://doi.org/10.1245/s10434-008-0249-8
- Pietrantonio F, De Braud F, Da Prat V, Perrone F, Pierotti MA, Gariboldi M, et al. A review on biomarkers for prediction of treatment outcome in gastric cancer. Anticancer Res 2013;33:1257-1266.
- Takeuchi H, Kakeji Y, Maehara Y. Time-dependent relevance of prognostic factors in patients with gastric cancer. Hepatogastroenterology 2008;55:779-781.
- Japanese Gastric Cancer Association. Japanese classification of gastric carcinoma: 2nd English Edition. Gastric Cancer 1998;1:10-24. https://doi.org/10.1007/PL00011681
- Sobin LH, Wittekind C, eds. TNM Classification of Malignant Tumors. 6th ed. New York: Wiley-Liss, 2002.
- Hermans J, Bonenkamp JJ, Boon MC, Bunt AM, Ohyama S, Sasako M, et al. Adjuvant therapy after curative resection for gastric cancer: meta-analysis of randomized trials. J Clin Oncol 1993;11:1441-1447. https://doi.org/10.1200/JCO.1993.11.8.1441
- Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361-387. https://doi.org/10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4
- Miller R, Siegmund D. Maximally selected chi square statistics. Biometrics 1982;38:1011-1016. https://doi.org/10.2307/2529881
- R Development CORE TEAM. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, 2010.
- Platt RW, Joseph KS, Ananth CV, Grondines J, Abrahamowicz M, Kramer MS. A proportional hazards model with timedependent covariates and time-varying effects for analysis of fetal and infant death. Am J Epidemiol 2004;160:199-206. https://doi.org/10.1093/aje/kwh201
- Gilchrist KW, Gray R, Fowble B, Tormey DC, Taylor SG 4th. Tumor necrosis is a prognostic predictor for early recurrence and death in lymph node-positive breast cancer: a 10-year follow-up study of 728 Eastern Cooperative Oncology Group patients. J Clin Oncol 1993;11:1929-1935. https://doi.org/10.1200/JCO.1993.11.10.1929
- Bolard P, Quantin C, Esteve J, Faivre J, Abrahamowicz M. Modelling time-dependent hazard ratios in relative survival: application to colon cancer. J Clin Epidemiol 2001;54:986-996. https://doi.org/10.1016/S0895-4356(01)00363-8
- Berger U, Schafer J, Ulm K. Dynamic Cox modelling based on fractional polynomials: time-variations in gastric cancer prognosis. Stat Med 2003;22:1163-1180. https://doi.org/10.1002/sim.1411
- Ng'andu NH. An empirical comparison of statistical tests for assessing the proportional hazards assumption of Cox's model. Stat Med 1997;16:611-626. https://doi.org/10.1002/(SICI)1097-0258(19970330)16:6<611::AID-SIM437>3.0.CO;2-T
- Grambsch PM, Therneau TM. Proportional hazards tests and diagnostics based on weighted residuals. Biometrika 1994;81:515-526. https://doi.org/10.1093/biomet/81.3.515
- Schoenfeld D. Chi-squared goodness-of-fit tests for the proportional hazards regression model. Biometrika 1980;67:145-153. https://doi.org/10.1093/biomet/67.1.145