Abstract
Observational studies such as those used to investigate lifecourse epidemiology present particular challenges for meta-analysis. This chapter discusses the differences between meta-analysis of randomised controlled trials and observational studies, introduces methods for meta-analysis in this unique setting, and illustrates the issues involved using a real example from a meta-analysis in the field of diet and cancer. Emphasis is placed on practicalities of how to conduct meta-analyses of observational studies where the information presented in the articles reviewed may be limited.
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References
Bagnardi, V., Zambon, A., Quatto, P., & Corrao, G. (2004). Flexible meta-regression functions for modeling aggregate dose-response data, with an application to alcohol and mortality. American Journal of Epidemiology, 159(11), 1077–1086.
Berlin, J. A., Longnecker, M. P., & Greenland, S. (1993). Meta-analysis of epidemiologic dose-response data. Epidemiology, 4(3), 218–228.
Bingham, S. A., & Day, N. (2006). Commentary: Fat and breast cancer: Time to re-evaluate both methods and results? International Journal of Epidemiology, 35(4), 1022–1024.
Butrum, R., Cannon, G., Heggie, S., Kroke, A., Miles, L., Norman, H., El Sherbini, N., James, C., Stone, E., Thompson, R., & Wiseman, M. (2006). Food, Nutrition, Physical Activity and the Prevention of Cancer: a Global Perspective. Systematic Literature Review Specification Manual (Second expert report), Washington DC: World Cancer Research Fund/American Institute for Cancer Research. http://www.wcrf.org/research/research_pdfs/slr_manual_15.doc.
Chene, G., & Thompson, S. G. (1996). Methods for summarizing the risk associations of quantitative variables in epidemiologic studies in a consistent form. American Journal of Epidemiology, 144(6), 610–621.
Collaborative Group on Pre-Natal Risk Factors and Subsequent Risk of Breast Cancer. (2008). Birth size and breast cancer risk: Re-analysis of individual participant data from 32 studies. PLoS Medicine, 5(9), 1372–1386.
DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7, 177–188.
Eilers, P. H. C. (2007). Data exploration in meta-analysis with smooth latent distributions. Statistics in Medicine, 26(17), 3358–3368.
Elm, E. V., Altman, D. G., Egger, M., Pocock, S. J., Gotzsche, P. C., Vandenbroucke, J. P., & STROBE, I. (2007). Strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. British Medical Journal, 335(7624), 806–808.
Galanis, D. J., Kolonel, L. N., Lee, J., & Nomura, A. (1998). Intakes of selected foods and beverages and the incidence of gastric cancer among the Japanese residents of Hawaii: A prospective study. International Journal of Epidemiology, 27(2), 173–180.
Gonzalez, C. A., Jakszyn, P., Pera, G., Agudo, A., Bingham, S., Palli, D., Ferrari, P., Boeing, H., Del Giudice, G., Plebani, M., Carneiro, F., Nesi, G., Berrino, F., Sacerdote, C., Tumino, R., Panico, S., Berglund, G., Siman, H., Nyren, O., Hallmans, G., Martinez, C., Dorronsoro, M., Barricarte, A., Navarro, C., Quiros, J. R., Allen, N., Key, T. J., Day, N. E., Linseisen, J., Nagel, G., Bergmann, M. M., Overvad, K., Jensen, M. K., Tjonneland, A., Olsen, A., Bueno-de-Mesquita, H. B., Ocke, M., Peeters, P. H., Numans, M. E., Clavel-Chapelon, F., Boutron-Ruault, M. C., Trichopoulou, A., Psaltopoulou, T., Roukos, D., Lund, E., Hemon, B., Kaaks, R., Norat, T., & Riboli, E. (2006). Meat intake and risk of stomach and esophageal adenocarcinoma within the European Prospective Investigation into Cancer and Nutrition (EPIC). Journal of the National Cancer Institute, 98(5), 345–354.
Greenland, S., & Longnecker, M. P. (1992). Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. American Journal of Epidemiology, 135(11), 1301–1309.
Greenland, S., & Thomas, D. C. (1982). On the need for the rare disease assumption in case-control studies. American Journal of Epidemiology, 116(3), 547–553.
Greenland, S., Thomas, D. C., & Morgenstern, H. (1986). The rare-disease assumption revisited. American Journal of Epidemiology, 124(6), 869–883.
Higgins, J. P., Whitehead, A., Turner, R. M., Omar, R. Z., & Thompson, S. G. (2001). Meta-analysis of continuous outcome data from individual patients. Statistics in Medicine, 20(15), 2219–2241.
Khan, M. M., Goto, R., Kobayashi, K., Suzumura, S., Nagata, Y., Sonoda, T., Sakauchi, F., Washio, M., & Mori, M. (2004). Dietary habits and cancer mortality among middle aged and older Japanese living in Hokkaido, Japan by cancer site and sex. Asian Pacific Journal of Cancer Prevention, 5(1), 58–65.
McCullough, M. L., Robertson, A. S., Jacobs, E. J., Chao, A., Calle, E. E., & Thun, M. J. (2001). A prospective study of diet and stomach cancer mortality in United States men and women. Cancer Epidemiology, Biomarkers & Prevention, 10(11), 1201–1205.
Ministry of Agriculture, F. a. F. (1988). Ford portion sizes (2nd ed.). London: HMSO.
Ngoan, L. T., Mizoue, T., Fujino, Y., Tokui, N., & Yoshimura, T. (2002). Dietary factors and stomach cancer mortality. British Journal of Cancer, 87(1), 37–42.
Nomura, A., Grove, J. S., Stemmermann, G. N., & Severson, R. K. (1990). A prospective study of stomach cancer and its relation to diet, cigarettes, and alcohol consumption [see comment]. Cancer Research, 50(3), 627–631.
Plummer, M. (2003). JAGS: A program for analysis of bayesian graphical models using gibbs sampling. Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003), March 20–22, Vienna, Austria.
Royston, P., & Altman, D. G. (1994). Regression using fractional polynomials of continuous covariates: Parsimonious parametric modelling. Applied Statistics, 43, 429–467.
Royston, P., & Altman, D. G. (2000). A strategy for modelling the effect of a continuous covariate in medicine and epidemiology. Statistics in Medicine, 19, 1831–1847.
Royston, P., Ambler, G., & Sauerbrei, W. (1999). The use of fractional polynomials to model continuous risk variables in epidemiology. International Journal of Epidemiology, 28, 964–974.
Salanti, G., Higgins, J. P., & White, I. R. (2006). Bayesian synthesis of epidemiological evidence with different combinations of exposure groups: Application to a gene-gene-environment interaction. Statistics in Medicine, 25(24), 4147–4163.
Spiegelhalter, D. J., Thomas, A., Best, N. G., & Lunn, D. (2007). WinBUGS user manual: Version 1.4.3. Cambridge: MRC Biostatistics Unit.
Stroup, D. F., Berlin, J. A., Morton, S. C., Olkin, I., Williamson, G. D., Rennie, D., Moher, D., Becker, B. J., Sipe, T. A., Thacker, S. B., & for the Meta-analysis of Observational Studies in Epidemiology Group. (2000). Meta-analysis of observational studies in epidemiology: A proposal for reporting. Journal of the American Medical Association, 283(15), 2008–2012.
Sutton, A. J., Abrams, K. R., Jones, D. R., Sheldon, T. A., & Song, F. (2000). Methods for meta-analysis in medical research. Chichester: Wiley.
Sutton, A. J., Kendrick, D., & Coupland, C. A. C. (2008). Meta-analysis of individual- and aggregate-level data. Statistics in Medicine, 27(5), 651–669.
The Fibrinogen Studies Collaboration. (2006). Regression dilution methods for meta-analysis: Assessing long-term variability in plasma fibrinogen among 27 247 adults in 15 prospective studies. International Journal of Epidemiology, 35(6), 1570–1578.
van den Brandt, P. A., Botterweck, A. A., & Goldbohm, R. A. (2003). Salt intake, cured meat consumption, refrigerator use and stomach cancer incidence: A prospective cohort study (Netherlands). Cancer Causes & Control, 14(5), 427–438.
White, I. R., Higgins, J. P., & Wood, A. M. (2008a). Allowing for uncertainty due to missing data in meta-analysis – Part 1: Two-stage methods. Statistics in Medicine, 27(5), 711–727.
White, I. R., Welton, N. J., Wood, A. M., Ades, A. E., & Higgins, J. P. (2008b). Allowing for uncertainty due to missing data in meta-analysis – Part 2: Hierarchical models. Statistics in Medicine, 27(5), 728–745.
World Cancer Research Fund/American Institute for Cancer Research. (2007). Food, nutrition, physical activity and the prevention of cancer: A global perspective. Washington DC: World Cancer Research Fund/American Institute for Cancer Research.
Zheng, W., Sellers, T. A., Doyle, T. J., Kushi, L. H., Potter, J. D., & Folsom, A. R. (1995). Retinol, antioxidant vitamins, and cancers of the upper digestive tract in a prospective cohort study of postmenopausal women. American Journal of Epidemiology, 142(9), 955–960.
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Greenwood, D.C. (2012). Meta-analysis of Observational Studies. In: Tu, YK., Greenwood, D. (eds) Modern Methods for Epidemiology. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-3024-3_10
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DOI: https://doi.org/10.1007/978-94-007-3024-3_10
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