Bayesian evaluation of group sequential clinical trial designs

Statistics in Medicine

Volumn 26, Issue 7, 2007, Pages 1431-1449

  Emerson, Scott S ^a   Kittleson, John M ^b   Gillen, Daniel L ^c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c Ringgold Standard Institution Informatics   (United States)

Author keywords

Bayesian; Interim analyses; Operating characteristics; Sample size; Stopping rules

Indexed keywords

ENDOTOXIN ANTIBODY; PLACEBO;

ACCURACY; ARTICLE; BAYES THEOREM; CLINICAL RESEARCH; CLINICAL TRIAL; CONFIDENCE INTERVAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DRUG EFFICACY; GRAM NEGATIVE SEPSIS; HUMAN; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; METHODOLOGY; MORTALITY; POWER ANALYSIS; PROBABILITY; RANDOMIZED CONTROLLED TRIAL; RECEIVER OPERATING CHARACTERISTIC; SAMPLE SIZE; SAMPLING ERROR; SEQUENTIAL ANALYSIS; SINGLE DRUG DOSE; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; TREATMENT OUTCOME;

ANTIBODIES; BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; DOUBLE-BLIND METHOD; ENDOTOXINS; GRAM-NEGATIVE BACTERIAL INFECTIONS; HUMANS; RANDOMIZED CONTROLLED TRIALS; SEPSIS;

EID: 33947102564     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2640     Document Type: Article

References (20)

1. Emerson SS, Kittelson JM, Gillen DL. Frequentist evaluation of group sequential designs. Statistics in Medicine 2005, accepted.
2. Fayers PM, Ashby D, Parmar MKB. Bayesian data monitoring in clinical trials. Statistics in Medicine 1997; 16:1413-1430.
3. Berry DA. Bayesian statistics and the efficiency and ethics of clinical trials. Statistical Science 2004; 19(1): 175-187.
4. Jennison C, Turnbull BW. Group Sequential Methods With Applications to Clinical Trials. CRC Press: Boca Raton, 2000.
5. Kittelson JM, Emerson SS. A unifying family of group sequential test designs. Biometrics 1999; 55:874-882.
6. Kass RE, Raftery AE. Bayes factors. Journal of the American Statistical Association 1995; 90:773-795.
7. Berry DA. A case for Bayesianism in clinical trials (Disc: p1395-1404). Statistics in Medicine 1993; 12:1377-1393.
8. Spiegelhalter DJ, Freedman LS, Parmar MKB. Bayesian approaches to randomized trials (Disc: p387-416). Journal of the Royal Statistical Society, Series A, General, 1994; 157:357-387.
9. Berry DA. Interim analysis in clinical trials: the role of the likelihood principle (C/R: 88V42 p88-89). The American Statistician 1987; 41:117-122.
10. Koprowicz KM, Emerson SS, Hoff PD. A comparison of parametric and coarsened Bayesian interval estimation in the presence of a known mean-variance relationship. Technical Report, Department of Biostatistics, University of Washington, 2003.
11. Pratt JW, Raiffa H, Schlaifer R. Introduction to Statistical Decision Theory. MIT Press: Cambridge, MA, 1995.
12. Boos DD, Monahan JF. Bootstrap methods using prior information. Biometrika 1986; 73:77-83.
13. Monahan JF, Boos DD. Proper likelihoods for Bayesian analysis. Biometrika 1992; 79:271-278.
14. Heitjan DF. Bayesian interim analysis of phase II cancer clinical trials. Statistics in Medicine 1997; 16:1791-1802.
15. Carlin BP, Louis TA. Bayes and Empirical Bayes Methods for Data Analysis. Chapman & Hall: London, 2000.
16. Cover TM, Thomas JA. Elements of Information Theory. Wiley: New York, 1991.
17. Spiegelhalter DJ, Freedman LS, Blackburn PR. Monitoring clinical trials: conditional or predictive power? Controlled Clinical Trials 1986; 7:8-17.
18. Birnbaum A. On the foundations of statistical inference (Com: p307-326). Journal of the American Statistical Association 1962; 57:269-306.
19. Royall RM. Statistical Evidence: A Likelihood Paradigm. Chapman & Hall: London, 1999.
20. Blume JD. Likelihood methods for measuring statistical evidence. Statistics in Medicine 2002; 21(17):2563-2599.