Trying to be precise about vagueness

Statistics in Medicine

Volumn 26, Issue 7, 2007, Pages 1417-1430

  Senn, Stephen ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Bayesian methods; Fixed effects; Graphical representation; HGLM; Meta analysis; Profile likelihood; Random effects

Indexed keywords

AMOXICILLIN PLUS CLAVULANIC ACID;

ACCURACY; ANALYSIS OF VARIANCE; ARTICLE; BAYES THEOREM; COMPUTER SIMULATION; DOSAGE SCHEDULE COMPARISON; DRUG DOSAGE FORM COMPARISON; HEALTH STATISTICS; HUMAN; MATHEMATICAL ANALYSIS; NONHUMAN; OTITIS MEDIA; PROBLEM IDENTIFICATION; RANDOM SAMPLE; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; TREATMENT RESPONSE;

BAYES THEOREM; COMPUTER SIMULATION; HUMANS; LIKELIHOOD FUNCTIONS; META-ANALYSIS; OTITIS MEDIA;

EID: 33947133690     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2639     Document Type: Article

References (37)

1. Lambert PC, Sutton AJ, Burton PR, Abrams KR, Jones DR. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS. Statistics in Medicine 2005; 24:2401-2428.
2. Spiegelhalter D, Thomas A, Best NG. WinBUGS, version 1.4, User Manual, MRC Biostatistics Unit: Cambridge, 2001.
3. Glasziou PP, Del Mar CB, Sanders SL, Hayem M. Antibiotics for acute otitis media in children. Cochrane Database Syst Rev 2004: CD000219.
4. Kozyrskyj AL, Hildes-Ripstein GE, Longstaffe SE, Wincott JL, Sitar DS, Klassen TP, Moffatt ME. Short course antibiotics for acute otitis media. Cochrane Database Syst Rev 2000: CD001095.
5. Hoberman A, Paradise JL, Burch DJ, Valinski WA, Hedrick JA, Aronovitz GH, Drehobl MA, Rogers JM. Equivalent efficacy and reduced occurrence of diarrhea from a new formulation of amoxicillin/clavulanate potassium (Augmentin) for treatment of acute otitis media in children. Pediatric Infectious Disease Journal 1997; 16:463-470.
6. Boulesteix J, Dubreuil C, Moutot M, Rezvani Y, Rosembaum. Cefpodoxime proxetil 5 jours versus cexime 8 jours, dans le traitement des otites moyennes aigues de l'enfant. Medicine Maladies Infectieuses 1995; 25:534-539.
7. Oxman AD, Guyatt GH. Validation of an index of the quality of review articles. Journal of Clinical Epidemiology 1991; 44:1271-1278.
8. Jadad AR, Moher M, Browman GP, Booker L, Sigouin C, Fuentes M, Stevens R. Systematic reviews and meta-analyses on treatment of asthma: critical evaluation. British Medical Journal 2000; 320:537-540.
9. Senn SJ. Review is biased. British Medical Journal 2000; 321:297.
10. Senn SJ. Statistical Issues in Drug Development. Wiley: Chichester, 1997.
11. Senn SJ. The many modes of meta. Drug Information Journal 2000; 34:535-549.
12. Thompson SG. Systematic review - why sources of heterogeneity in metaanalysis should be investigated. British Medical Journal 1994; 309:1351-1355.
13. Cox DR, Solomon PJ. Components of Variance. Chapman & Hall: Boca Raton, 2003.
14. Yates F, Cochran WG. The analysis of groups of experiments. Journal of Agricultural Science 1938; 28:556-580.
15. DerSimonian R, Laird N. Meta-analysis in clinical trials. Controlled Clinical Trials 1986; 7:177-188.
16. Hardy RJ, Thompson SG. A likelihood approach to meta-analysis with random effects. Statistics in Medicine 1996; 15:619-629.
17. Senn SJ, Stevens L, Chaturvedi N. Repeated measures in clinical trials: simple strategies for analysis using summary measures. Statistics in Medicine 2000; 19:861-877.
18. Chambless LE, Roeback JR. Methods for assessing difference between groups in change when initial measurements is subject to intra-individual variation. Statistics in Medicine 1993; 12:1213-1237.
19. Senn SJ. Methods for assessing difference between groups in change when initial measurement is subject to intra-individual variation [letter; comment] [see comments]. Statistics in Medicine 1994; 13:2280-2285.
20. Senn SJ. Dicing with Death. Cambridge University Press: Cambridge, 2003.
21. Lee Y, Nelder JA. Hierarchical generalized linear models. Journal of the Royal Statistical Society Series B - Methodological 1996; 58:619-656.
22. Ramsey F. Truth and probability. In The Foundations of Mathematics and other Logical Essays, Braithwaite RB. (ed.). Harcourt Brace and Company: New York, 1931; 156-198.
23. de Finetti BD. Theory of Probability, vol. 1. Wiley: Chichester, 1974.
24. de Finetti BD. Theory of Probability, vol. 2. Wiley: Chichester, 1975.
25. Savage J. The Foundations of Statistics. Wiley: New York, 1954.
26. Lindley DV. Theory and practice of Bayesian statistics. Statistician 1983; 32:1-11.
27. Good IJ. Good Thinking: The Foundations of Probability and its Applications. University of Minnesota Press: Minneapolis, 1983.
28. Barnard GA. Fragments of a statistical autobiography. Student 1996; 1:257-268.
29. Gelfand AE, Smith AFM. Sampling-based approaches to calculating marginal densities. Journal of the American Statistical Association 1990; 85:398-409.
30. Senn SJ. Consensus and controversy in pharmaceutical statistics (with discussion). The Statistician 2000; 49:135-176.
31. DuMouchel W, Normand SL. Computer modelling and graphical strategies for meta-analysis. In Meta-Analysis in Medicine and Health Policy, Stangl D, Berry DA (eds). Marcel Dekker: New York, 2000, 127-178.
32. Skene AM, Wakefield JC. Hierarchical models for multicentre binary response studies. Statistics in Medicine 1990; 9:919-929.
33. Senn SJ. Added values: controversies concerning randomization and additivity in clinical trials. Statistics in Medicine 2004; 23:3729-3753.
34. Lee PM. Bayesian Statistics: An Introduction. Edward Arnold: London, 1989.
35. Mathsoft. Mathcad 12, Mathsoft, Cambridge, MA, 2004.
36. Good IJ. A Bayesian significance test for multinomial distributions (with discussion). Journal of the Royal Statistical Society Series B 1967; 29:399-431.
37. Spiegelhalter DJ, Freedman LS, Parmar MKB. Applying Bayesian ideas in drug development and clinical trials. Statistics in Medicine 1993; 12:1501-1511 (discussion 1513-1507).