A parametic model for long-term follow-up data from phase III breast cancer clinical trials

Statistics in Medicine

Volumn 22, Issue 3, 2003, Pages 339-352

  Jeong, Jong Hyeon ^a   Jung, Sin Ho ^b   Wieand, Samuel ^a  

^a UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

Gamma frailty; Non proportional hazards; Parametric modelling; Survival data; Test for proportional odds

Indexed keywords

PLACEBO; TAMOXIFEN; ANTINEOPLASTIC HORMONE AGONISTS AND ANTAGONISTS;

ANALYTICAL ERROR; ARTICLE; BREAST CANCER; CANCER SURVIVAL; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; FOLLOW UP; HUMAN; LONG TERM CARE; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; NONBIOLOGICAL MODEL; PARAMETRIC TEST; PHASE 3 CLINICAL TRIAL; RANDOMIZED CONTROLLED TRIAL; SIMULATION; STATISTICAL MODEL; TREATMENT OUTCOME; UNIVARIATE GAMMA FRAILTY MODEL; BREAST TUMOR; COMPUTER SIMULATION; DISEASE FREE SURVIVAL; FEMALE; METHODOLOGY; STATISTICAL ANALYSIS;

ANTINEOPLASTIC AGENTS, HORMONAL; BREAST NEOPLASMS; CLINICAL TRIALS, PHASE III; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DISEASE-FREE SURVIVAL; FEMALE; FOLLOW-UP STUDIES; HUMANS; MODELS, STATISTICAL; TAMOXIFEN;

EID: 0037441534     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1349     Document Type: Article

References (17)

1. Cox DR. Regression models and life tables (with discussion). Journal of the Royal Statistical Society, Series B 1972; 34:187-220.
2. Cox DR. Partial likelihood. Biometrika 1975; 62:269-276.
3. McCullagh P. Regression models for ordinal data. Journal of the Royal Statistical Society, Series B 1980; 42:109-142.
4. Bennett S. Analysis of survival data by the proportional odds model. Statistics in Medicine 1983; 2:273-278.
5. Dabrowska DM, Doksum KA. Estimation and testing in a two-sample generalized odds-rate model. Journal of the American Statistical Association 1988; 83:744-749.
6. Murphy SA, Rossini AJ, Van Der Vaart AW. Maximum likelihood estimation in the proportional odds model. Journal of the American Statistical Association 1997; 92:968-976.
7. Yang S, Prentice RL. Semiparametric inference in the proportional odds regression model. Journal of the American Statistical Association 1999; 94:125-136.
8. Vaupel JW, Manton KG, Stallard E. The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 1979; 16:439-454.
9. Feller W. An Introduction to Probability Theory and its Applications, vol. 2. Wiley: New York, 1971; 448-449.
10. Hougaard P. Survival models for heterogeneous populations derived from stable distributions. Biometrika 1986; 73:387-396.
11. Hougaard P. Life table methods for heterogeneous populations: distributions describing the heterogeneity. Biometrika 1984; 61:17-30.
12. Mudholkar GS, Srivastava, DK, Kollia GD. A generalization of the Weibull distribution with application to the analysis of survival data. Journal of the American Statistical Association 1996; 91:1575-1583.
13. Morris C, Christiansen C. Fitting Weibull duration models with random effects. Lifetime Data Analysis 1995; 1:347-359.
14. Cox DR, Oakes D. Analysis of Survival Data. Chapman & Hall: New York, 1984; 32-33.
15. Fisher B, Costantino J, Redmond C et al. A randomized clinical trial evaluating tamoxifen in the treatment of patients with node-negative breast cancer who have estrogen-receptor-positive tumors. New England Journal of Medicine 1989; 320:479-484.
16. Fisher B, Dignam J, Bryant J et al. Five versus more than five years of tamoxifen therapy for breast cancer patients with negative lymph nodes and estrogen receptor-positive tumors. Journal of the National Cancer Institute 1996; 88:1529-1542.
17. Grambsch PM, Therneau TM. Proportional hazards tests and diagnostics based on weighted residuals. Biometrika 1994; 81:515-526.