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Journal Abstract Search
108 related items for PubMed ID: 11304734
1. A methodology for analysing a repeated measures and survival outcome simultaneously. Rochon J, Gillespie BW. Stat Med; 2001 Apr 30; 20(8):1173-84. PubMed ID: 11304734 [Abstract] [Full Text] [Related]
2. Analyzing bivariate repeated measures for discrete and continuous outcome variables. Rochon J. Biometrics; 1996 Jun 30; 52(2):740-50. PubMed ID: 8672710 [Abstract] [Full Text] [Related]
3. Using a serial marker to predict a repeated measures outcome in a cohort design--results of a simulation study. Rochon J. J Biopharm Stat; 2004 Aug 30; 14(3):817-33. PubMed ID: 15468767 [Abstract] [Full Text] [Related]
6. Hypothesis testing in functional linear regression models with Neyman's truncation and wavelet thresholding for longitudinal data. Yang X, Nie K. Stat Med; 2008 Mar 15; 27(6):845-63. PubMed ID: 17610294 [Abstract] [Full Text] [Related]
7. Analysing sequential events in clinical trials. Salter A, Raab G, Day S. Clin Trials; 2006 Mar 15; 3(5):421-30. PubMed ID: 17060216 [Abstract] [Full Text] [Related]
8. Randomized clinical trials with a pre- and a post-treatment measurement: repeated measures versus ANCOVA models. Winkens B, van Breukelen GJ, Schouten HJ, Berger MP. Contemp Clin Trials; 2007 Nov 15; 28(6):713-9. PubMed ID: 17524958 [Abstract] [Full Text] [Related]
9. Design and sample size estimation in clinical trials with clustered survival times as the primary endpoint. Xie T, Waksman J. Stat Med; 2003 Sep 30; 22(18):2835-46. PubMed ID: 12953283 [Abstract] [Full Text] [Related]
10. MSurvPow: a FORTRAN program to calculate the sample size and power for cluster-randomized clinical trials with survival outcomes. Gao F, Manatunga AK, Chen S. Comput Methods Programs Biomed; 2005 Apr 30; 78(1):61-7. PubMed ID: 15780890 [Abstract] [Full Text] [Related]
11. Sample size estimation for GEE method for comparing slopes in repeated measurements data. Jung SH, Ahn C. Stat Med; 2003 Apr 30; 22(8):1305-15. PubMed ID: 12687656 [Abstract] [Full Text] [Related]
12. A SAS/IML program for implementing the modified Brown-Forsythe procedure in repeated measures designs. Vallejo G, Moris J, Conejo NM. Comput Methods Programs Biomed; 2006 Sep 30; 83(3):169-77. PubMed ID: 16934362 [Abstract] [Full Text] [Related]
13. A mixed-effects regression model for three-level ordinal response data. Raman R, Hedeker D. Stat Med; 2005 Nov 15; 24(21):3331-45. PubMed ID: 16206246 [Abstract] [Full Text] [Related]