Variation in baseline risk as an explanation of heterogeneity in meta-analysis

Statistics in Medicine

Volumn 16, Issue 24, 1997, Pages 2883-2900

  Walter, S D ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CHOLESTEROL; HYPOCHOLESTEROLEMIC AGENT;

CHOLESTEROL BLOOD LEVEL; COMPUTER PROGRAM; CONFERENCE PAPER; HUMAN; INTERMETHOD COMPARISON; MAXIMUM LIKELIHOOD METHOD; META ANALYSIS; PREMATURE LABOR; REGRESSION ANALYSIS; RISK; SAMPLING; STATISTICAL MODEL;

ANTICHOLESTEREMIC AGENTS; EFFECT MODIFIERS (EPIDEMIOLOGY); FEMALE; HUMANS; LEAST-SQUARES ANALYSIS; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; META-ANALYSIS; PREGNANCY; RISK; TOCOLYSIS;

EID: 0030703680     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0258(19971230)16:24<2883::AID-SIM825>3.0.CO;2-B     Document Type: Conference Paper

References (30)

1. Chalmers, I. and Haynes, B. 'Reporting, updating, and correcting systematic reviews of the effects of health care', British Medical Journal, 309, 862-865 (1994).
2. Cook, D. J., Sackett, D. L. and Spitzer, W. O. 'Methodologic guidelines for systematic reviews of randomized control trials in health care from the Potsdam consultation on meta-analysis', Jounal of Clinical Epidemiology, 48, 167-171 (1995).
3. Hedges, L. V. and Olkin, I. Statistical Methods for Meta-analysis, Academic Press, Orlando, FL, 1985.
4. Greenland, S. 'Quantitative methods in the review of epidemiologic literature', Epidemiologic Reviews, 9, 1-30 (1987).
5. Thompson, S. G. 'Why sources of heterogeneity in meta-analysis should be investigated', British Medical Journal, 309, 1351-1355 (1994).
6. DerSimonian, R. and Laird, N. 'Meta-analysis in clinical trials', Controlled Clinical Trials, 7, 177-188 (1986).
7. Dickersin, K. and Berlin, J. A. 'Meta-analysis: State-of-the-science', Epidemiologic Reviews, 14, 154-176 (1992).
8. Smith, G. D., Song, F. and Sheldon, T. A. 'Cholesterol lowering and mortality: the importance of considering initial level of risk', British Medical Journal, 306, 1367-1373 (1993).
9. Thompson, S. G. 'Controversies in meta-analysis: the case of the trials of serum cholesterol reduction', Statistical Methods in Medical Research, 2, 173-192 (1993).
10. Colditz, G. A., Burdick, E. and Mosteller, F. 'Heterogeneity in meta-analysis of data from epidemiologic studies: a commentary', American Journal of Epidemiology, 142, 371-382 (1995).
11. Berlin, J. A. 'Invited commentary: Benefits of heterogeneity in meta-analysis of data from epidemoloigic studies', American Journal of Epidemiology, 142, 383-387 (1995).
12. Berkey, C. S., Hoaglin, D. C., Mosteller, F. and Colditz, G. A. 'A random-effects regression model for meta-analysis', Statistics in Medicine, 14, 395-411 (1995).
13. Whitehead, A. and Whitehead, J. 'A general parametric approach to the meta-analysis of randomised clinical trials', Statistics in Medicine, 10, 1665-1677 (1991).
14. Thompson, S. G. and Pocock, S. J. 'Can meta-analyses be trusted?', Lancet, 338, 1127-1130 (1991).
15. Jones, M. P., O'Gorman, T. W., Lemke, J. H. and Woolson, R. F. 'A Monte Carlo investigation of homogeneity tests of the odds ratio under various sample size configurations', Biometrics, 45, 171-181 (1989).
16. Berlin, J. A. and Antman, E. M. 'Advantages and limitations of metaanalytic regressions of clinical trials data', Online Journal of Current Clinical Trials, 134, June 4, (1994).
17. Rothwell, P. M. 'Can overall results of clinical trials be applied to all patients?', Lancet, 345, 1616-1619 (1995).
18. Greenland, S. 'Can meta-analysis be salvaged?', American Journal of Epidemiology, 140, 783-787 (1994).
19. Lau, J., Schmid, C. H. and Chalmers, T. C. 'Cumulative meta-analysis of clinical trials builds evidence for exemplary medical care', Journal of Clinical Epidemiology, 48, 45-57 (1995).
20. Brand, R. and Kragt, H. 'Importance of trends in the interpretation of an overall odds ratio in the meta-analysis of clinical trials', Statistics in Medicine, 11, 2077-2082 (1992).
21. Cook, R. J. and Sackett, D. L. 'The number needed to treat: a clinically useful measure of treatment effect', British Medical Journal, 310, 452-454 (1995).
22. Senn, S. 'Letter to the Editor: Importance of trends in the interpretation of an overall odds ratio in the meta-analysis of clinical trials', Statistics in Medicine, 13, 293-296 (1994).
23. Sharp S. J., Thompson, S. G. and Altman D. G. 'The relation between treatment benefit and underlying risk in meta-analysis', British Medical Journal, 313, 735-738 (1996).
24. Brand, R. 'Author's reply: Importance of trends in the interpretation of an overal odds ratio in the meta-analysis of clinical trials', Statistics in Medicine, 13, 293-296 (1994).
25. Seber, G. A. F. Linear Regression Analysis, Wiley, New York, 1977.
26. Walter, S. D. and Cook, R. 'A comparison of several point estimators of the odds ratio in a single 2 × 2 contingency table', Biometrics, 47, 795-811 (1991).
27. Cook, R. J. and Walter, S. D. 'A logistic model for trend in 2 × 2 × K tables with applications to meta-analyses', Biometrics, 53, 352-357 (1997).
28. Van Houwelingen, H. C., Zwinderman, K. H. and Stijnen, T. 'A bivariate approach to meta-analysis', Statistics in Medicine, 12, 2273-2284 (1993).
29. McIntosh, M. W. 'The population risk as an explanatory variable in research synthesis of clinical trials', Statistics in Medicine, 15, 1713-1728 (1996).
30. Law, M. R., Thompson, S. G. and Wald, N. J. 'Assessing possible hazards of reducing serum cholesterol', British Medical Journal, 308, 373-379 (1994).