{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,27]],"date-time":"2024-01-27T00:01:48Z","timestamp":1706313708942},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2006,1,26]],"date-time":"2006-01-26T00:00:00Z","timestamp":1138233600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biometrics"],"published-print":{"date-parts":[[2006,9]]},"abstract":"<jats:p><jats:bold><jats:sc>Summary<\/jats:sc><\/jats:bold> Publication bias of the results of medical studies can invalidate evidence\u2010based medicine. The existing methodology for modeling this essentially relies upon the symmetry of the funnel plot. We present a new method of modeling publication bias that uses this information plus the impact factors of the publishing journals. A simple model of the publication process enables the estimation of bias\u2010corrected intervention effects. The procedure is illustrated using a meta\u2010analysis of the effectiveness of single\u2010dose oral aspirin for acute pain, and results are also obtained for five other meta\u2010analyses. The method enables the fitting of a wide range of models and is considered more flexible than other ways of compensating for publication bias. The model also provides the basis of a statistical test for the existence of publication bias. Use of the new methodology to supplement existing methods is recommended, in the context of a sensitivity analysis.<\/jats:p>","DOI":"10.1111\/j.1541-0420.2005.00513.x","type":"journal-article","created":{"date-parts":[[2006,6,6]],"date-time":"2006-06-06T22:15:49Z","timestamp":1149632149000},"page":"785-792","source":"Crossref","is-referenced-by-count":22,"title":["Using Journal Impact Factors to Correct for the Publication Bias of Medical Studies"],"prefix":"10.1093","volume":"62","author":[{"given":"Rose","family":"Baker","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Jackson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2006,1,26]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0258(19970415)16:7<753::AID-SIM494>3.0.CO;2-G"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.280.3.254"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.287.21.2847"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1993.03500210049030"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/1.3.247"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1177011363"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0197-2456(86)90046-2"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0483(99)00024-9"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2000.10473905"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.0006-341X.2000.00455.x"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/0140-6736(91)90201-Y"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(04)16080-7"},{"key":"e_1_2_8_14_1","unstructured":"Edwards J. E. Oldman A. Smith L. Collins S. L. Carroll D. Wiffen P. J. McQuay H. J. andMoore R. A.(2005).Single dose oral aspirin for acute pain (meta\u2010analysis). The Cochrane Collaboration http:\/\/www.cochrane.org\/index0.htm."},{"key":"e_1_2_8_15_1","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1002\/(SICI)1097-0258(19960330)15:6<619::AID-SIM188>3.0.CO;2-A","article-title":"A likelihood approach to meta\u2010analysis with random effects","volume":"15","author":"Hardy R. 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