159 related articles for article (PubMed ID: 12925504)
1. A closer look at the distribution of number needed to treat (NNT): a Bayesian approach.
Thabane L
Biostatistics; 2003 Jul; 4(3):365-70. PubMed ID: 12925504
[TBL] [Abstract][Full Text] [Related]
2. A simple logical solution to eliminate the limitations of using the number needed to treat.
Lui KJ
Eval Health Prof; 2004 Jun; 27(2):206-14. PubMed ID: 15140295
[TBL] [Abstract][Full Text] [Related]
3. Estimating the number needed to treat (NNT) index when the data are subject to error.
Walter SD; Irwig L
Stat Med; 2001 Mar; 20(6):893-906. PubMed ID: 11252011
[TBL] [Abstract][Full Text] [Related]
4. Number needed to treat estimates incorporating effects over the entire range of clinical outcomes: novel derivation method and application to thrombolytic therapy for acute stroke.
Saver JL
Arch Neurol; 2004 Jul; 61(7):1066-70. PubMed ID: 15262737
[TBL] [Abstract][Full Text] [Related]
5. Robust Bayesian sample size determination in clinical trials.
Brutti P; De Santis F; Gubbiotti S
Stat Med; 2008 Jun; 27(13):2290-306. PubMed ID: 18205170
[TBL] [Abstract][Full Text] [Related]
6. A new paradigm for deriving and analyzing number needed to treat.
Alemayehu D; Whalen E
J Biopharm Stat; 2006; 16(2):181-92. PubMed ID: 16584066
[TBL] [Abstract][Full Text] [Related]
7. The number needed to treat (NNT) can be adjusted for bias when the outcome is measured with error.
Marschner IC; Emberson J; Irwig L; Walter SD
J Clin Epidemiol; 2004 Dec; 57(12):1244-52. PubMed ID: 15617950
[TBL] [Abstract][Full Text] [Related]
8. Bayesian estimation of cost-effectiveness: an importance-sampling approach.
Heitjan DF; Li H
Health Econ; 2004 Feb; 13(2):191-8. PubMed ID: 14737756
[TBL] [Abstract][Full Text] [Related]
9. Bias of estimates of the number needed to treat.
Duncan BW; Olkin I
Stat Med; 2005 Jun; 24(12):1837-48. PubMed ID: 15806616
[TBL] [Abstract][Full Text] [Related]
10. Annualized was found better than absolute risk reduction in the calculation of number needed to treat in chronic conditions.
Mayne TJ; Whalen E; Vu A
J Clin Epidemiol; 2006 Mar; 59(3):217-23. PubMed ID: 16488351
[TBL] [Abstract][Full Text] [Related]
11. Bayesian sample size calculations for a non-inferiority test of two proportions in clinical trials.
Daimon T
Contemp Clin Trials; 2008 Jul; 29(4):507-16. PubMed ID: 18201944
[TBL] [Abstract][Full Text] [Related]
12. A Bayesian approach for sample size determination in method comparison studies.
Yin K; Choudhary PK; Varghese D; Goodman SR
Stat Med; 2008 Jun; 27(13):2273-89. PubMed ID: 17979182
[TBL] [Abstract][Full Text] [Related]
13. Power analyses for correlations from clustered study designs.
Tu XM; Kowalski J; Crits-Christoph P; Gallop R
Stat Med; 2006 Aug; 25(15):2587-606. PubMed ID: 16025545
[TBL] [Abstract][Full Text] [Related]
14. Estimating adjusted NNT measures in logistic regression analysis.
Bender R; Kuss O; Hildebrandt M; Gehrmann U
Stat Med; 2007 Dec; 26(30):5586-95. PubMed ID: 17879268
[TBL] [Abstract][Full Text] [Related]
15. A general approach for sample size and statistical power calculations assessing of interventions using a mixture model in the presence of detection limits.
Nie L; Chu H; Cole SR
Contemp Clin Trials; 2006 Oct; 27(5):483-91. PubMed ID: 16769254
[TBL] [Abstract][Full Text] [Related]
16. Performance and sample size requirements of Bayesian methods for binary outcomes in fixed-dose combination drug studies.
Holt MM; Stamey JD; Seaman JW; Young DM
J Biopharm Stat; 2009; 19(1):120-32. PubMed ID: 19127471
[TBL] [Abstract][Full Text] [Related]
17. Large-sample Bayesian posterior distributions for probabilistic sensitivity analysis.
Hazen GB; Huang M
Med Decis Making; 2006; 26(5):512-34. PubMed ID: 16997928
[TBL] [Abstract][Full Text] [Related]
18. Bayesian methods for analysis of binary outcome data in cluster randomized trials on the absolute risk scale.
Thompson SG; Warn DE; Turner RM
Stat Med; 2004 Feb; 23(3):389-410. PubMed ID: 14748035
[TBL] [Abstract][Full Text] [Related]
19. Sample size estimation in single-arm clinical trials with multiple testing under frequentist and Bayesian approaches.
Zaslavsky BG; Scott J
J Biopharm Stat; 2012; 22(4):819-35. PubMed ID: 22651117
[TBL] [Abstract][Full Text] [Related]
20. Mixtures of prior distributions for predictive Bayesian sample size calculations in clinical trials.
Brutti P; De Santis F; Gubbiotti S
Stat Med; 2009 Jul; 28(17):2185-201. PubMed ID: 19462415
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
