Nonparametric rank-based methods for group sequential monitoring of paired censored survival data

Biometrics

Volumn 56, Issue 4, 2000, Pages 984-990

  Murray, S ^a  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Clinical trial; Correlated times to event; Two sample test; Weighted log rank

Indexed keywords

CLINICAL TRIAL; CORRELATED TIME-TO-EVENT; GROUP SEQUENTIAL MONITORING; NONPARAMETRICS; RANK STATISTICS; SURVIVAL DATA; TIME TO EVENTS; TWO-SAMPLE PROBLEMS; TWO-SAMPLE TESTS; WEIGHTED LOG RANK;

EYE PROTECTION;

ARTICLE; BIOSTATISTICS; MATHEMATICAL ANALYSIS; MEDICAL RESEARCH; SAMPLING; SURVIVAL;

EID: 0033637187     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.0984.x     Document Type: Article

References (18)

1. Applications of a frailty model to sequential survival analysis
2. Rank tests for matched pair experiments with censored data
3. Early Treatment Diabetic Retinopathy Study design and baseline patient characteristics: ETDRS report 7
4. Early photocoagulation for diabetic retinopathy: ETDRS report 9
5. Weak convergence of time-sequential censored rank statistics with applications to sequential testing in clinical trials
6. The two-sample problem with induced dependent censorship
7. Discrete sequential boundaries for clinical trials
8. Nonparametric sequential testing in clinical trials with incomplete multivariate observations
9. Group sequential methods for censored bivariate survival data
10. Variance and sample size calculations in quality of life adjusted survival analysis (Q-TWIST)
11. A multiple testing procedure for clinical trials
12. Group sequential methods in the design and analysis of clinical trials
13. Sequential analysis of the proportional hazards model
14. Sequential linear rank tests for two-sample censored survival data
15. The asymptotic joint distribution of the efficient scores test for the proportional hazards model calculated over time
16. Repeated significance testing for a general class of statistics used in censored survival analysis
17. Regression analysis of multivariate incomplete failure time data by modeling marginal distributions