296 related articles for article (PubMed ID: 19061210)
1. Bayesian approach to average power calculations for binary regression models with misclassified outcomes.
Cheng D; Stamey JD; Branscum AJ
Stat Med; 2009 Feb; 28(5):848-63. PubMed ID: 19061210
[TBL] [Abstract][Full Text] [Related]
2. Bayesian estimation of intervention effect with pre- and post-misclassified binomial data.
Stamey JD; Seaman JW; Young DM
J Biopharm Stat; 2007; 17(1):93-108. PubMed ID: 17219757
[TBL] [Abstract][Full Text] [Related]
3. Bayesian adjustment for covariate measurement errors: a flexible parametric approach.
Hossain S; Gustafson P
Stat Med; 2009 May; 28(11):1580-600. PubMed ID: 19226564
[TBL] [Abstract][Full Text] [Related]
4. Analysis of misclassified correlated binary data using a multivariate probit model when covariates are subject to measurement error.
Roy S; Banerjee T
Biom J; 2009 Jun; 51(3):420-32. PubMed ID: 19588453
[TBL] [Abstract][Full Text] [Related]
5. Binary regression with misclassified response and covariate subject to measurement error: a bayesian approach.
McGlothlin A; Stamey JD; Seaman JW
Biom J; 2008 Feb; 50(1):123-34. PubMed ID: 18283683
[TBL] [Abstract][Full Text] [Related]
6. A general approach to sample size determination for prevalence surveys that use dual test protocols.
Cheng D; Stamey JD; Branscum AJ
Biom J; 2007 Aug; 49(5):694-706. PubMed ID: 17722203
[TBL] [Abstract][Full Text] [Related]
7. Comparison of Bayesian model averaging and stepwise methods for model selection in logistic regression.
Wang D; Zhang W; Bakhai A
Stat Med; 2004 Nov; 23(22):3451-67. PubMed ID: 15505893
[TBL] [Abstract][Full Text] [Related]
8. The log multinomial regression model for nominal outcomes with more than two attributes.
Blizzard L; Hosmer DW
Biom J; 2007 Dec; 49(6):889-902. PubMed ID: 17849384
[TBL] [Abstract][Full Text] [Related]
9. A Bayesian approach to prospective binary outcome studies with misclassification in a binary risk factor.
Prescott GJ; Garthwaite PH
Stat Med; 2005 Nov; 24(22):3463-77. PubMed ID: 16237661
[TBL] [Abstract][Full Text] [Related]
10. Bayesian analysis of risk factors for anovulation.
Liu Y; Johnson WO; Gold EB; Lasley BL
Stat Med; 2004 Jun; 23(12):1901-19. PubMed ID: 15195323
[TBL] [Abstract][Full Text] [Related]
11. Accounting for response misclassification and covariate measurement error improves power and reduces bias in epidemiologic studies.
Cheng D; Branscum AJ; Stamey JD
Ann Epidemiol; 2010 Jul; 20(7):562-7. PubMed ID: 20538200
[TBL] [Abstract][Full Text] [Related]
12. Bayesian estimation for performance measures of two diagnostic tests in the presence of verification bias.
Aragon DC; Martinez EZ; Achcar JA
J Biopharm Stat; 2010 Jul; 20(4):821-34. PubMed ID: 20496208
[TBL] [Abstract][Full Text] [Related]
13. Bayesian sample-size determination for inference on two binomial populations with no gold standard classifier.
Stamey JD; Seaman JW; Young DM
Stat Med; 2005 Oct; 24(19):2963-76. PubMed ID: 16007574
[TBL] [Abstract][Full Text] [Related]
14. Assessment of risks by predicting counterfactuals.
Zou GY
Stat Med; 2009 Dec; 28(30):3761-81. PubMed ID: 19856279
[TBL] [Abstract][Full Text] [Related]
15. Modelling risk when binary outcomes are subject to error.
McInturff P; Johnson WO; Cowling D; Gardner IA
Stat Med; 2004 Apr; 23(7):1095-109. PubMed ID: 15057880
[TBL] [Abstract][Full Text] [Related]
16. Bayesian multivariate logistic regression.
O'Brien SM; Dunson DB
Biometrics; 2004 Sep; 60(3):739-46. PubMed ID: 15339297
[TBL] [Abstract][Full Text] [Related]
17. A simple approach to power and sample size calculations in logistic regression and Cox regression models.
Vaeth M; Skovlund E
Stat Med; 2004 Jun; 23(11):1781-92. PubMed ID: 15160408
[TBL] [Abstract][Full Text] [Related]
18. A general method for dealing with misclassification in regression: the misclassification SIMEX.
Küchenhoff H; Mwalili SM; Lesaffre E
Biometrics; 2006 Mar; 62(1):85-96. PubMed ID: 16542233
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Bayesian sensitivity analysis for unmeasured confounding in observational studies.
McCandless LC; Gustafson P; Levy A
Stat Med; 2007 May; 26(11):2331-47. PubMed ID: 16998821
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]