Group sequential testing in dental clinical trials with longitudinal data on multiple outcome variables

Statistical Methods in Medical Research

Volumn 14, Issue 6, 2005, Pages 591-602

  Leroux, Brian G ^a   Mancl, Lloyd A ^a   DeRouen, Timothy A ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DENTAL ALLOY;

ANALYTICAL ERROR; ARTICLE; CHILD; CLINICAL TRIAL; COMPUTER PROGRAM; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; COVARIANCE; DATA ANALYSIS; HUMAN; HYPOTHESIS; LONGITUDINAL STUDY; METHODOLOGY; OUTCOMES RESEARCH; RANDOMIZED CONTROLLED TRIAL; REGRESSION ANALYSIS; SEQUENTIAL ANALYSIS; STATISTICAL MODEL; TOOTH FILLING;

CLINICAL TRIALS; DENTAL AMALGAM; DENTISTRY; HUMANS; LONGITUDINAL STUDIES; SAFETY; UNITED STATES;

EID: 29244436350     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1191/0962280205sm421oa     Document Type: Article

References (15)

1. O'Brien PC. Procedures for comparing samples with multiple endpoints. Biometrics 1984; 40: 1079-87.
2. Tang D-I, Gnecco C, Geller NL. An approximate likelihood ratio test for a normal mean vector with nonnegative components with applications to clinical trials. Biometrika 1989; 76: 577-83.
3. Armitage P, Stratton IM, Worthington HV. Repeated significance tests for clinical trials with a fixed number of patients and variable follow-up. Biometrics 1985; 41: 353-59.
4. Lee JW. Group sequential testing in clinical trials with multivariate observations: a review. Statistics in Medicine 1994; 13: 101-11.
5. DeRouen TA, Leroux BG, Martin MD, Townes BD, Woods JS, Leitao J, Castro-Caldas A, Braveman N. Issues in design and analysis of a randomized clinical trial to assess the safety of dental amalgam restorations in children. Controlled Clinical Trials 2002; 23: 301-20.
6. The Children's Amalgam Trial Study Group. The Children's Amalgam Trial: design and methods. Controlled Clinical Trials 2003; 24: 795-814.
7. Liang K-Y, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika 1986; 73: 13-22.
8. Wei LJ, Su JQ, Lachin JM. Interim analyses with repeated measurements in a sequential clinical trial. Biometrika 1990; 77: 359-64.
9. Mancl LA, Leroux BG. Efficiency of regression estimates for clustered data. Biometrics 1996; 52: 500-11.
10. Schervish MJ. Algorithm AS 195. Multivariate normal probabilities with error bound. (Corr: Vol. 34, pp. 103-104), Applied Statistics 1984; 33: 81-94.
11. Tang D-I, Geller NL, Pocock SJ. On the design and analysis of randomized clincial trials with multiple endpoints. Biometrics 1993; 49: 23-30.
12. Senn S. Combining outcome measures: statistical power is irrelevant. Biometrics 1989; 45: 1027-28.
13. Fisher LD. A review of methods for handling multiple endpoints in clinical trials. Proceedings of the ASA Biopharmaceutical Section 1991; 43-46.
14. Follmann D. Multivariate tests for multiple endpoints in clinical trials. Statistics in Medicine 1995; 14: 1163-75.
15. O'Brien PC, Geller NL. Interpreting tests for efficacy in clinical trials with multiple endpoints. Controlled Clinical Trials 1997; 18: 222-27.