These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
312 related items for PubMed ID: 15837448
1. Improving the estimation of change from baseline in a continuous outcome measure in the clinical trial setting. Mayer-Hamblett N, Kronmal RA. Contemp Clin Trials; 2005 Feb; 26(1):2-16. PubMed ID: 15837448 [Abstract] [Full Text] [Related]
4. Improving the efficiency of estimation in randomized trials of adaptive treatment strategies. Lavori PW, Dawson R. Clin Trials; 2007 Feb; 4(4):297-308. PubMed ID: 17848491 [Abstract] [Full Text] [Related]
5. Sensitivity analysis for the estimation of rates of change with non-ignorable drop-out: an application to a randomized clinical trial of the vitamin D3. Matsuyama Y. Stat Med; 2003 Mar 15; 22(5):811-27. PubMed ID: 12587107 [Abstract] [Full Text] [Related]
8. Adaptive design and estimation in randomized clinical trials with correlated observations. Yin G, Shen Y. Biometrics; 2005 Jun 15; 61(2):362-9. PubMed ID: 16011682 [Abstract] [Full Text] [Related]
9. Should baseline be a covariate or dependent variable in analyses of change from baseline in clinical trials? Liu GF, Lu K, Mogg R, Mallick M, Mehrotra DV. Stat Med; 2009 Sep 10; 28(20):2509-30. PubMed ID: 19610129 [Abstract] [Full Text] [Related]
10. Semi-parametric and non-parametric methods for clinical trials with incomplete data. O'Brien PC, Zhang D, Bailey KR. Stat Med; 2005 Feb 15; 24(3):341-58. PubMed ID: 15547952 [Abstract] [Full Text] [Related]
12. Longitudinal and repeated cross-sectional cluster-randomization designs using mixed effects regression for binary outcomes: bias and coverage of frequentist and Bayesian methods. Localio AR, Berlin JA, Have TR. Stat Med; 2006 Aug 30; 25(16):2720-36. PubMed ID: 16345043 [Abstract] [Full Text] [Related]
17. Re-estimating the sample size of an on-going blinded trial based on the method of randomization block sums. Ganju J, Xing B. Stat Med; 2009 Jan 15; 28(1):24-38. PubMed ID: 18837073 [Abstract] [Full Text] [Related]
18. A Monte Carlo approach for change-point detection in the Cox proportional hazards model. Liu M, Lu W, Shao Y. Stat Med; 2008 Aug 30; 27(19):3894-909. PubMed ID: 18254131 [Abstract] [Full Text] [Related]
19. Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random. Preisser JS, Lohman KK, Rathouz PJ. Stat Med; 2002 Oct 30; 21(20):3035-54. PubMed ID: 12369080 [Abstract] [Full Text] [Related]
20. A method to estimate the variance of an endpoint from an on-going blinded trial. Xing B, Ganju J. Stat Med; 2005 Jun 30; 24(12):1807-14. PubMed ID: 15803440 [Abstract] [Full Text] [Related] Page: [Next] [New Search]