The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Meta‐analysis of individual‐ and aggregate‐level data
Abstract
The methodology described here was developed for a systematic review and individual participant‐level meta‐analysis of home safety education and the provision of safety equipment for the prevention of childhood accidents. This review had a particular emphasis on exploring whether effectiveness was related to socio‐demographic characteristics previously shown to be associated with injury risk. Individual participant data were only made available to us for a proportion of the included studies. This resulted in the need for developing a new methodology to combine the available data most efficiently. Our objective was to develop a (random effects) meta‐analysis model that could synthesize both individual‐level and aggregate‐level binary outcome data while exploring the effects of binary covariates also available in a combination of individual participant and aggregate level data. To add further complication, the studies to be combined were a mixture of cluster and individual participant‐allocated designs. A Bayesian model using Markov chain Monte Carlo methods to estimate parameters is described which efficiently synthesizes the data by allowing different models to be fitted to the different study design and data format combinations available. Initially we describe a model to estimate mean effects ignoring the influence of the covariates, and then extend it to include a binary covariate. The application of the method is illustrated by application to one outcome from the motivating home safety meta‐analysis for illustration. Using the same general approach, it would be possible to develop further ‘tailor made’ evidence synthesis models to synthesize all available evidence most effectively. Copyright © 2007 John Wiley & Sons, Ltd.
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Citations
Cites
Hao (2015) · doi:10.1002/14651858 · Cited by 11,321
Issues in the meta-analysis of cluster randomized trials
Donner, A., & Klar, N. (2002) · Statistics in Medicine · doi:10.1002/sim.1301 · Cited by 734
Bayesian approaches to random-effects meta-analysis: a comparative study
Smith, T. C., Spiegelhalter, D. J., & Thomas, A. (1995) · Statistics in Medicine · doi:10.1002/sim.4780142408 · Cited by 568
Cited by
Romero, R., Nicolaides, K., Conde-Agudelo, A., Tabor, A., O'Brien, J. M., Cetingoz, E., Da Fonseca, E., Creasy, G. W., Klein, K., Rode, L., et al. (2012) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2011.12.003 · Cited by 580
Dias, S., Sutton, A. J., Welton, N. J., & Ades, A. E. (2013) · Medical Decision Making · doi:10.1177/0272989x13485157 · Cited by 466
Self-citationAhmed, I., Sutton, A. J., & Riley, R. D. (2012) · BMJ · doi:10.1136/bmj.d7762 · Cited by 404
Self-citationSignorovitch, J. E., Wu, E. Q., Yu, A. P., Gerrits, C. M., Kantor, E., Bao, Y., Gupta, S. R., & Mulani, P. M. (2010) · PharmacoEconomics · doi:10.2165/11538370-000000000-00000 · Cited by 377
Bower, P., Kontopantelis, E., Sutton, A., Kendrick, T., Richards, D. A., Gilbody, S., Knowles, S., Cuijpers, P., Andersson, G., Christensen, H., et al. (2013) · BMJ · doi:10.1136/bmj.f540 · Cited by 341
Self-citationGet real in individual participant data (IPD) meta‐analysis: a review of the methodology
Debray, T. P. A., Moons, K. G. M., van Valkenhoef, G., Efthimiou, O., Hummel, N., Groenwold, R. H. H., Reitsma, J. B., & on behalf of the GetReal methods review group (2015) · Research Synthesis Methods · doi:10.1002/jrsm.1160 · Cited by 348
Cooper, H., & Patall, E. A. (2009) · Psychological Methods · doi:10.1037/a0015565 · Cited by 339
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Riley, R. D., Lambert, P. C., Staessen, J. A., Wang, J., Gueyffier, F., Thijs, L., & Boutitie, F. (2008) · Statistics in Medicine · doi:10.1002/sim.3165 · Cited by 279
Home safety education and provision of safety equipment for injury prevention
Kendrick, D., Young, B., Mason-Jones, A. J., Ilyas, N., Achana, F. A., Cooper, N. J., Hubbard, S. J., Sutton, A. J., Smith, S., Wynn, P., et al. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005014.pub3 · Cited by 270
Self-citationGeissbühler, M., Hincapié, C. A., Aghlmandi, S., Zwahlen, M., Jüni, P., & da Costa, B. R. (2021) · BMC Medical Research Methodology · doi:10.1186/s12874-021-01310-0 · Cited by 195
Sridaran, S., McClintock, S. K., Syphard, L. M., Herman, K. M., Barnwell, J. W., & Udhayakumar, V. (2010) · Malaria Journal · doi:10.1186/1475-2875-9-247 · Cited by 124
Verde, P. E., & Ohmann, C. (2015) · Research Synthesis Methods · doi:10.1002/jrsm.1122 · Cited by 123
Hua, H., Burke, D. L., Crowther, M. J., Ensor, J., Tudur Smith, C., & Riley, R. D. (2017) · Statistics in Medicine · doi:10.1002/sim.7171 · Cited by 113
Panagioti, M., Bower, P., Kontopantelis, E., Lovell, K., Gilbody, S., Waheed, W., Dickens, C., Archer, J., Simon, G., Ell, K., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.1794 · Cited by 94
Meta-Analysis of Complex Interventions
Tanner-Smith, E. E., & Grant, S. (2018) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040617-014112 · Cited by 62
Kaufmann, E., Reips, U.-D., & Maag Merki, K. (2016) · Zeitschrift für Psychologie · doi:10.1027/2151-2604/a000251 · Cited by 31
Metadata
- Authors
- Sutton, A. J., Kendrick, D., & Coupland, C. A. C.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2007-05-18
- Volume
- 27
- Issue
- 5
- Pages
- 651-669
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2042304363
- Cited by
- 161
- References
- 3
- FWCI
- 8.82
- Type
- journal article
- Language
- en
- Open access
- closed
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