Combining multiple outcome measures in a meta-analysis: An application

Statistics in Medicine

Volumn 22, Issue 8, 2003, Pages 1335-1353

  Arends, Lidia R ^a   Vokó, Zoltán ^a,b   Stijnen, Theo ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b UNIVERSITY OF DEBRECEN   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

CAROTID ENDARTERECTOMY; CLINICAL PRACTICE; CLINICAL TRIAL; COMPUTER PROGRAM; CONSERVATIVE TREATMENT; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; HUMAN; MEDICAL LITERATURE; META ANALYSIS; MORBIDITY; MULTIVARIATE ANALYSIS; NEUROSURGERY; OUTCOMES RESEARCH; REVIEW; STATISTICAL ANALYSIS; STATISTICAL MODEL; STROKE; SURGICAL MORTALITY; SURVIVAL;

CEREBROVASCULAR ACCIDENT; DISEASE-FREE SURVIVAL; ENDARTERECTOMY, CAROTID; HUMANS; META-ANALYSIS; MULTIVARIATE ANALYSIS; POSTOPERATIVE PERIOD; PROBABILITY; RANDOMIZED CONTROLLED TRIALS; RISK ASSESSMENT; TIME; TREATMENT OUTCOME;

EID: 0038077258     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1370     Document Type: Review

References (26)

1. DerSimonian R, Laird N. Meta-analysis in clinical trials. Controlled Clinical Trials 1986; 7(3):177-188.
2. Raudenbush SW, Becker BJ, Kalaian H. Modeling multivariate effect sizes. Psychological Bulletin 1988; 103(1):111-120.
3. Dear KB. Iterative generalized least squares for meta-analysis of survival data at multiple times. Biometrics 1994; 50(4):989-1002.
4. Van Houwelingen JC, Zwinderman K, Stijnen T. A bivariate approach to meta-analysis. Statistics in Medicine 1993; 12:2272-2284.
5. McIntosh MW. The population risk as an explanatory variable in research syntheses of clinical trials. Statistics in Medicine 1996; 15:1713-1728.
6. Arends LR, Hoes AW, Lubsen J, Grobbee DE, Stijnen T. Baseline risk as predictor of treatment benefit: three clinical meta-re-analyses. Statistics in Medicine 2000; 19(24):3497-3518.
7. Berkey CS, Hoaglin DC, Antczak-Bouckoms A, Mosteller F, Colditz GA. Meta-analysis of multiple outcomes by regression with random effects. Statistics in Medicine 1998; 17:2537-2550.
8. Houwelingen HC van, Arends L, Stijnen T. Tutorial in Biostatistics. Advanced methods in meta-analysis: multivariate approach and meta-regression. Statistics in Medicine 2002; 21:589-624.
9. SAS [program]. Version 8.0. SAS Institute, Inc.: Cary, N.C., 1999.
10. Vokó Z. Etiology and prevention of stroke. The Rotterdam Study. Thesis, Erasmus University Rotterdam, 2000; 59-75.
11. Dyken ML, Pokras R. The performance of endarterectomy for disease of the extracranial arteries of the head. Stroke 1984; 15:948-950.
12. Gillum RF. Epidemiology of carotid endarterectomy and cerebral arteriography in the United States. Stroke 1995; 26:1724-1728.
13. Verbeke G, Lesaffre E. The effect of misspecifying the random effects distribution in linear models for longitudinal data. Computational Statistics and Data Analysis 1997; 23:541-556.
14. Verbeke G. Linear mixed models for longitudinal data. In Linear Mixed Models in Practice, Verbeke G, Molenberghs G (eds). Springer-Verlag: New York, 1997; 63-153.
15. CYTEL Software Corporation. EGRET for Windows [program]. Version 2.0.3. CYTEL Software Corporation: Cambridge, 1999.
16. MIXOR [program]. Version 2.0. Hedeker D, Gibbons RD: Chicago, 1996.
17. Hedeker D, Gibbons RD. MIXOR: A computer program for mixed-effects ordinal regression analysis. Computer Methods and Programs in Biomedicine 1996; 49:157-176.
18. Buyse M, Molenberghs G, Burzykowsky T, Renard D, Geys H. The validation of surrogate endpoints in meta-analysis of randomized experiments. Biostatistics 2000; 1(1):49-68.
19. Gail MH, Pfeiffer R, van Houwelingen HC, Carroll RJ. On meta-analytic assessment of surrogate outcomes. Biostatistics 2000; 1(3):231-246.
20. Sharp SJ, Thompson SG, Altman DG. The relation between treatment benefit and underlying risk in meta-analysis. British Medical Journal 1996; 313:7059:735-738.
21. Brand R. Importance of trends in the interpretation of an overall odds ratio in the meta-analysis of clinical trials (letter). Statistics in Medicine 1994; 13(3):293-296.
22. Senn SJ. Relation between treatment benefit and underlying risk in meta-analysis. British Medical Journal 1996; 313:1550.
23. Sharp SJ, Thompson SG. Analysing the relationship between treatment effect and underlying risk in meta-analysis: comparison and development of approaches. Statistics in Medicine 2000; 19:3251-3274.
24. Thompson SG, Smith TC, Sharp SJ. Investigating underlying risk as a source of heterogeneity in meta-analysis. Statistics in Medicine 1997; 16(23):2741-2758.
25. Van Houwelingen HC, Senn S. Investigating underlying risk as a source of heterogeneity in meta-analysis (letter). Statistics in Medicine 1999; 18:107-113.
26. Gilks W, Thomas A, Spiegelhalter D. A language and program for complex Bayesian modelling. Statistician 1994; 43:169-177.