Bayesian approach to determine the number of subsequent users of a new treatment

Statistical Methods in Medical Research

Volumn 15, Issue 6, 2006, Pages 585-592

  Pezeshk, Hamid ^a   Gittins, John ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; BINOMIAL DISTRIBUTION; CONTROLLED STUDY; COST BENEFIT ANALYSIS; DISEASE SEVERITY; MATHEMATICAL COMPUTING; NORMAL DISTRIBUTION; OUTCOMES RESEARCH; PROBABILITY; SAMPLE SIZE; TREATMENT PLANNING;

BAYES THEOREM; BIOMEDICAL RESEARCH; COMPUTER SIMULATION; HEALTH SERVICES NEEDS AND DEMAND; HUMANS; SAMPLE SIZE; TREATMENT OUTCOME;

EID: 33846208357     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1177/0962280206070640     Document Type: Article

References (10)

1. Lemeshow S, Hosmer DW Jr. Klar J, Lawanga SK. Adequacy of sample size in health studies. John Wiley and Sons, 1990.
2. Pham-Gia T, Turkkan N. Sample size determination in Bayesian analysis. The Statistician 1992; 41: 389-92.
3. Lindley DV. The choice of sample size. The Statistician 1997; 46: 129-38.
4. Stallard N. Sample size determination for phase II clinical trials based on Bayesian decision theory. Biometrics 1998; 54: 279-94.
5. Gittins JC, Pezeshk H. How large should a clinical trial be? The Statistician 2000; 49: 177-87.
6. Gittins JC, Pezeshk H. A decision theoretic approach to sample size determination in clinical trials. Journal of Biopharmaceutical Statstics 2002; 12: 535-51.
7. Pezeshk H, Gittins JC. A fully Bayesian approach to calculating sample sizes for clinical trials with binary responses. Drug Information Journal 2002; 36: 143-50.
8. Pezeshk H. Bayesian techniques for sample size determination in clinical trials; a short review. Statistical Methods in Medical Research 2003; 12: 489-504.
9. O'Hagan A. Kendall's advanced theory of statistics volume 2B Bayesian statistics. Edward Arnold, 1994.
10. Spieglhalter, DJ, Freeman LS, Parmar MKB. Bayesian approaches to randomized trials. The Journal of Royal Statistical Society A. 1994; 157: 357-416.