Bias in meta-analysis due to outcome variable selection within studies

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 49, Issue 3, 2000, Pages 359-370

  Hutton, J L ^a   Williamson, Paula R ^b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Bias; Estimated effect size; Meta analysis; Sensitivity analysis; Within study variable selection

Indexed keywords

EID: 0034366413     PISSN: 00359254     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9876.00197     Document Type: Article

References (16)

1. Abrams, K. and Jones, D. R. (1995) Meta-analysis and the synthesis of evidence. IMA J. Math. Appl. Med. Biol., 12, 297-313.
2. Begg, C. B. and Berlin, J. A. (1988) Publication bias: a problem in interpreting medical data (with discussion). J. R. Statist. Soc. A, 151, 419-463.
3. -(1989) Publication bias and dissemination of clinical research. J. Natn. Cancer Inst., 81, 107-115.
4. Cochrane Injuries Group Albumin Reviewers (1998) Human albumin administration in critically ill patients: systematic review of randomised controlled trials. Br. Med. J., 317, 235-240.
5. Copas, J. (1999) What works?: selectivity models and meta-analysis. J. R. Statist. Soc. A, 162, 95-109.
6. Cox, D. R. and Hinkley, D. V. (1974) Theoretical Statistics. London: Chapman and Hall.
7. Dickson, R., Awasthi, S., Demmellweek, C. and Williamson, P. R. (1998) Effectiveness of anthelminth treatment on growth and cognition in children. In Infectious Disease Module of the Cochrane Database of Systematic Reviews (eds P. Garner, H. Gelband, P. Olliaro, R. Salinas, J. Volmink, D. Wilkinson and H. McIntosh).
8. Eysenck, H. J. (1994) Meta-analysis and its problems. Br. Med. J., 309, 789-792.
9. Fantl, J. A., Cardozo, L. and McClish, D. K. (1994) Estrogen therapy in the management of urinary incontinence in post menopausal women: a meta-analysis. Obstet. Gyn., 83, 12-18.
10. Fernando, M. and Balasuriya, S. (1983) Effect of ascaris lumbricoides infestation on growth of children. Ind. Pediatr., 20, 721-731.
11. Givens, G. H., Smith, D. D. and Tweedie, R. L. (1997) Publication bias in meta-analysis: a Bayesian data-augmentation approach to account for issues exemplified in the passive smoking debate. Statist. Sci., 12, 221-250.
12. Hedges, L. V. and Olkin, J. (1985) Statistical Methods for Meta-analysis. Orlando: Academic Press.
13. Tannock, I. F. (1996) False-positive results in clinical trials: multiple significance tests and the problem of unreported comparisons. J. Natn. Cancer Inst., 88, 206-207.
14. Thornley, B. and Adams, C. (1998) Content and quality of 2000 controlled trials in schizophrenia over 50 years. Br. Med. J., 317, 1181-1184.
15. US Department of Health and Human Services (1996) Urinary Incontinence in Adults: Acute and Chronic Management. Rockville: Agency for Health Care Policy and Research.
16. Whitehead, A. and Whitehead, J. (1991) A general parametric approach to the meta-analysis of randomized clinical trials. Statist. Med., 10, 1665-1677.