Analysing Data and Undertaking Meta-Analyses

Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series

Volumn , Issue , 2008, Pages 243-296

  Deeks, Jonathan J ^a   Higgins, Julian PT ^b,c   Altman, Douglas G ^d  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c UK COCHRANE CENTRE   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Addressing heterogeneity strategies; Data analysis and meta analyses; Dichotomous and continuous data handling; Multiple intervention groups; Outcome measurement data type; Random effects method and inverse variance approach; time to event data and survival data; Time to event outcome meta analysis and RevMan

Indexed keywords

EID: 84890783342     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470712184.ch9     Document Type: Chapter

References (47)

1. AdamsNP, Bestall JB, Malouf R, Lasserson TJ, JonesPW. Beclomethasone versus placebo for chronic asthma. Cochrane Database of Systematic Reviews 2005, Issue 1. Art No: CD002738.
2. Agresti A. An introduction to categorical data analysis. New York (NY): JohnWiley&Sons, 1996.
3. Altman DG, Bland JM. Detecting skewness from summary information. BMJ 1996; 313: 1200-1200.
4. Antman EM, Lau J,Kupelnick B, Mosteller F, Chalmers TC.Acomparison of results of metaanalyses of randomized control trials and recommendations of clinical experts: Treatments for myocardial infarction. JAMA 1992; 268: 240-248.
5. Berlin JA, LongneckerMP, Greenland S. Meta-analysis of epidemiologic dose-response data. Epidemiology 1993; 4: 218-228.
6. Berlin JA, Antman EM. Advantages and limitations of metaanalytic regressions of clinical trials data. Online Journal of Current Clinical Trials 1994; Doc No 134.
7. Berlin JA, Santanna J, Schmid CH, Szczech LA, Feldman KA. Individual patient-versus group-level data meta-regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head. Statistics in Medicine 2002; 21: 371-387.
8. Bradburn MJ, Deeks JJ, Berlin JA, Russell LA. Much ado about nothing: a comparison of the performance of meta-analytical methods with rare events. Statistics in Medicine 2007; 26: 53-77.
9. Chinn S. A simple method for converting an odds ratio to effect size for use in meta-analysis. Statistics in Medicine 2000; 19: 3127-3131.
10. Cooper HM, Rosenthal R. Statistical versus traditional procedures for summarizing research findings. Psychological Bulletin 1980; 87: 442-449.
11. Crawford F, Hollis S. Topical treatments for fungal infections of the skin and nails of the feet. Cochrane Database of Systematic Reviews 2007, Issue 3. Art No: CD001434.
12. Deeks JJ. Systematic reviews of published evidence: Miracles or minefields?. Annals of Oncology 1998; 9: 703-709.
13. Deeks JJ, Altman DG, Bradburn MJ. Statistical methods for examining heterogeneity and combining results from several studies in meta-analysis. In: Egger M, Davey Smith G, Altman DG (editors). Systematic Reviews in Health Care: Meta-analysis in Context (2nd edition). London (UK): BMJ Publication Group, 2001.
14. Deeks JJ. Issues in the selection of a summary statistic for meta-analysis of clinical trials with binary outcomes. Statistics in Medicine 2002; 21: 1575-1600.
15. DerSimonian R, Laird N. Meta-analysis in clinical trials. Controlled Clinical Trials 1986; 7: 177-188.
16. Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997; 315: 629-634.
17. Engels EA, Schmid CH, Terrin N, Olkin I, Lau J. Heterogeneity and statistical significance in meta-analysis: an empirical study of 125 meta-analyses. Statistics in Medicine 2000; 19: 1707-1728.
18. Greenland S, Robins JM. Estimation of a common effect parameter from sparse follow-up data. Biometrics 1985; 41: 55-68.
19. Greenland S. Quantitative methods in the review of epidemiologic literature. Epidemiologic Reviews 1987; 9: 1-30.
20. Greenland S, Longnecker MP. Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. American Journal of Epidemiology 1992; 135: 1301-1309.
21. Hasselblad VIC, Mccrory DC. Meta-analytic tools for medical decision making: A practical guide. Medical Decision Making 1995; 15: 81-96.
22. Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Statistics in Medicine 2002; 21: 1539-1558.
23. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in metaanalyses. BMJ 2003; 327: 557-560.
24. Higgins JPT, Thompson SG. Controlling the risk of spurious findings from meta-regression. Statistics in Medicine 2004; 23: 1663-1682.
25. Higgins JPT, White IR, Anzures-Cabrera J. Meta-analysis of skewed data: combining results reported on log-transformed or raw scales. Statistics in Medicine (in press, 2008).
26. Higgins JPT, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects metaanalysis. Journal of the Royal Statistical Society Series A (in press, 2008).
27. Kjaergard LL, Villumsen J, Gluud C. Reported methodologic quality and discrepancies between large and small randomized trials in meta-analyses. Annals of Internal Medicine 2001; 135: 982-989.
28. Laupacis A, Sackett DL, Roberts RS. An assessment of clinically useful measures of the consequences of treatment. New England Journal of Medicine 1988; 318: 1728-1733.
29. Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute 1959; 22: 719-748.
30. McIntoshMW. The population risk as an explanatory variable in research synthesis of clinical trials. Statistics in Medicine 1996; 15: 1713-1728.
31. Moher M, Hey K, Lancaster T. Workplace interventions for smoking cessation. Cochrane Database of Systematic Reviews 2005, Issue 2. Art No: CD003440.
32. Morgenstern H. Uses of ecologic analysis in epidemiologic research. American Journal of Public Health 1982; 72: 1336-1344.
33. O'Rourke K, Detsky AS. Meta-analysis in medical research: strong encouragement for higher quality in individual research efforts. Journal of Clinical Epidemiology 1989; 42: 1021-1026.
34. Oxman AD, Guyatt GH. A consumers guide to subgroup analyses. Annals of Internal Medicine 1992; 116: 78-84.
35. Pittler MH, Ernst E. Kava extract versus placebo for treating anxiety. Cochrane Database of Systematic Reviews 2003, Issue 1. Art No: CD003383.
36. Poole C, Greenland S. Random-effects meta-analyses are not always conservative. American Journal of Epidemiology 1999; 150: 469-475.
37. Sackett DL, Deeks JJ, Altman DG. Down with odds ratios! Evidence Based Medicine 1996; 1: 164-166.
38. Sackett DL, Richardson WS, Rosenberg W, Haynes BR. Evidence-Based Medicine: How to Practice and Teach EBM. Edinburgh (UK): Churchill Livingstone, 1997.
39. Sharp SJ. Analysing the relationship between treatment benefit and underlying risk: precautions and practical recommendations. In: Egger M, Davey Smith G, Altman DG (editors). Systematic Reviews in Health Care: Meta-analysis in Context (2nd edition). London (UK): BMJ Publication Group, 2000.
40. Sinclair JC, Bracken MB. Clinically useful measures of effect in binary analyses of randomized trials. Journal of Clinical Epidemiology 1994; 47: 881-889.
41. Thompson SG, Smith TC, Sharp SJ. Investigating underlying risk as a source of heterogeneity in meta-analysis. Statistics in Medicine 1997; 16: 2741-2758.
42. Thompson SG, Sharp SJ. Explaining heterogeneity in meta-analysis: a comparison of methods. Statistics in Medicine 1999; 18: 2693-2708.
43. Thompson SG, Higgins JPT. How should meta-regression analyses be undertaken and interpreted?. Statistics in Medicine 2002; 21: 1559-1574.
44. Whitehead A, Whitehead J.Ageneral parametric approach to the meta-analysis of randomised clinical trials. Statistics in Medicine 1991; 10: 1665-1677.
45. Whitehead A, Jones NMB.Ameta-analysis of clinical trials involving different classifications of response into ordered categories. Statistics in Medicine 1994; 13: 2503-2515.
46. Yusuf S, Peto R, Lewis J, Collins R, Sleight P. Beta blockade during and after myocardial infarction: an overview of the randomised trials. Progress in Cardiovascular Diseases 1985; 27: 335-371.
47. Yusuf S, Wittes J, Probstfield J, Tyroler HA. Analysis and interpretation of treatment effects in subgroups of patients in randomized clinical trials. JAMA 1991; 266: 93-98.