A chance for Bayes

Medicina Clinica

Volumn 119, Issue 7, 2002, Pages 252-253

  Bayarri, M J ^a   Cobo, E ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; CLINICAL STUDY; CONTROLLED STUDY; EDITORIAL; EVIDENCE BASED MEDICINE; HEALTH STATISTICS; MONTE CARLO METHOD; PROBABILITY; STATISTICAL SIGNIFICANCE; CLINICAL TRIAL;

BAYES THEOREM; CLINICAL TRIALS;

EID: 0037037084     PISSN: 00257753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Editorial

References (16)

1. Sterne J, Smith GD. Sifting the evidence-what's wrong with significance tests? BMJ 2001;322:226-31.
2. Spiegelhalter D, Myles J, Jones D, Abrans K. An introduction to Bayesian methods in Health Technology assessment. BMJ 1999;319:508-12.
3. Goodman SN. Toward evidence-based medical statistics. 1: the P value fallacy. Ann Intern Med 1999;130:995-1004.
4. Goodman SN. Toward evidence-based medical statistics. 2: the Bayes factor. Ann Intern Med 1999;130:1005-13.
5. Sellke T, Bayarri MJ, Berger JO. Calibration of p-values for testing precise null hypotheses. Am Stat 2001;55:62-71.
6. Braitman LE. Confidence intervals assess both clinical significance and statistical significance. Ann Intern Med 1991;114:515-7.
7. Libreo J, Peiró S. Comparaciones abstrusas en los resúmenes de ensayos clínicos en revistas médicas españolas. Med Clin (Barc) 2001;117:732-3.
8. Argimón JM. El intervalo de confianza: algo más que un valor de significación estadística. Med Clin (Barc) 2002;118:382-4.
9. Altman DG, Schulz KF, Moher D, Egger M, Davidoff F, Elbourne D, et al, Lang T for the CONSORT group. The revised CONSORT statement for reporting randomised trials: explanation and elaboration. Ann Intern Med 2001;134:663-94.
10. Berger J. Bayesian analysis: a look at today and thoughts of tomorrow. J. Am Stat Assoc 2000;95:1269-76.
11. Berry DA, Stangl DK. Bayesian biostatistics. Marcel Dekker, 1996.
12. Casella G, George El. Explaining the Gibbs sampling. Am Stat 1992;46:167-74.
13. Gilks WR, Richardson S, Speigelhalter D. Practical Markov Chain Monte Carlo. Chapman and Hall, 1995.
14. Álamo Santana F, Vázquez Polo FJ, Rodríguez Pérez JC. Herramientas para la investigación biomédica: la perspectiva bayesiana (I). Med Clin (Barc) 2002;119:265-8.
15. Álamo Santana F, Vázquez Polo FJ, Rodríguez Pérez JC. Herramientas para la investigación biomédica: la perspectiva bayesiana (II). Med Clin (Barc) 2002;119:269-72.
16. ICH Topic E9. Statistical principles for clinical trials (CPMP/ICH/363/96).