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.
2. Dropout rates for intent-to-treat and per protocol analyses. Stewart WC; Jackson AL; Jenkins JN Am J Ophthalmol; 2004 Apr; 137(4):639-45. PubMed ID: 15059702 [TBL] [Abstract][Full Text] [Related]
3. Issues in use of SAS PROC.MIXED to test the significance of treatment effects in controlled clinical trials. Ahn C; Tonidandel S; Overall JE J Biopharm Stat; 2000 May; 10(2):265-86. PubMed ID: 10803729 [TBL] [Abstract][Full Text] [Related]
4. An overview of practical approaches for handling missing data in clinical trials. DeSouza CM; Legedza AT; Sankoh AJ J Biopharm Stat; 2009 Nov; 19(6):1055-73. PubMed ID: 20183464 [TBL] [Abstract][Full Text] [Related]
5. Random regression with imputed values for dropouts. Overall JE; Shobaki G; Fiore J Psychopharmacol Bull; 1996; 32(3):377-88. PubMed ID: 8961781 [TBL] [Abstract][Full Text] [Related]
6. Sample size estimation for GEE method for comparing slopes in repeated measurements data. Jung SH; Ahn C Stat Med; 2003 Apr; 22(8):1305-15. PubMed ID: 12687656 [TBL] [Abstract][Full Text] [Related]
7. [Meta-analysis of the Italian studies on short-term effects of air pollution]. Biggeri A; Bellini P; Terracini B; Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188 [TBL] [Abstract][Full Text] [Related]
8. Semi-parametric and non-parametric methods for clinical trials with incomplete data. O'Brien PC; Zhang D; Bailey KR Stat Med; 2005 Feb; 24(3):341-58. PubMed ID: 15547952 [TBL] [Abstract][Full Text] [Related]
9. Statistical issues on the analysis of change in follow-up studies in dental research. Blance A; Tu YK; Baelum V; Gilthorpe MS Community Dent Oral Epidemiol; 2007 Dec; 35(6):412-20. PubMed ID: 18039282 [TBL] [Abstract][Full Text] [Related]
10. A two-stage analysis of repeated measurements with dropouts and/or intermittent missing data. Overall JE; Tonidandel S J Clin Psychol; 2006 Mar; 62(3):285-91. PubMed ID: 16299743 [TBL] [Abstract][Full Text] [Related]
11. The analysis of very small samples of repeated measurements I: an adjusted sandwich estimator. Skene SS; Kenward MG Stat Med; 2010 Nov; 29(27):2825-37. PubMed ID: 20839367 [TBL] [Abstract][Full Text] [Related]
12. Sample sizes in the multivariate analysis of repeated measurements. Vonesh EF; Schork MA Biometrics; 1986 Sep; 42(3):601-10. PubMed ID: 3567293 [TBL] [Abstract][Full Text] [Related]
13. Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data. Vickers AJ BMC Med Res Methodol; 2005 Nov; 5():35. PubMed ID: 16269081 [TBL] [Abstract][Full Text] [Related]
14. Evaluation of the statistical power for multiple tests: a case study. Yeo A; Qu Y Pharm Stat; 2009; 8(1):5-11. PubMed ID: 18381588 [TBL] [Abstract][Full Text] [Related]
15. Sample size calculations based on slopes and other summary statistics. Dawson JD Biometrics; 1998 Mar; 54(1):323-30. PubMed ID: 9544525 [TBL] [Abstract][Full Text] [Related]
16. Blinded sample size recalculation for clinical trials with normal data and baseline adjusted analysis. Friede T; Kieser M Pharm Stat; 2011; 10(1):8-13. PubMed ID: 19943322 [TBL] [Abstract][Full Text] [Related]
17. Sample size calculation for the Power Model for dose proportionality studies. Sethuraman VS; Leonov S; Squassante L; Mitchell TR; Hale MD Pharm Stat; 2007; 6(1):35-41. PubMed ID: 17323313 [TBL] [Abstract][Full Text] [Related]
18. A simple method for calculating power based on a prior trial. Borm GF; Bloem BR; Munneke M; Teerenstra S J Clin Epidemiol; 2010 Sep; 63(9):992-7. PubMed ID: 20573484 [TBL] [Abstract][Full Text] [Related]
19. How many repeated measurements are useful? Overall JE J Clin Psychol; 1996 May; 52(3):243-52. PubMed ID: 8835686 [TBL] [Abstract][Full Text] [Related]
20. Drop-outs and a random regression model. Overall JE J Biopharm Stat; 1997 Jul; 7(3):383-402. PubMed ID: 9252832 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]