| pubmed-article:21472757 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:21472757 | lifeskim:mentions | umls-concept:C0025663 | lld:lifeskim |
| pubmed-article:21472757 | lifeskim:mentions | umls-concept:C0920317 | lld:lifeskim |
| pubmed-article:21472757 | lifeskim:mentions | umls-concept:C1705294 | lld:lifeskim |
| pubmed-article:21472757 | pubmed:issue | 9 | lld:pubmed |
| pubmed-article:21472757 | pubmed:dateCreated | 2011-4-7 | lld:pubmed |
| pubmed-article:21472757 | pubmed:abstractText | Although meta-analyses are typically viewed as retrospective activities, they are increasingly being applied prospectively to provide up-to-date evidence on specific research questions. When meta-analyses are updated account should be taken of the possibility of false-positive findings due to repeated significance tests. We discuss the use of sequential methods for meta-analyses that incorporate random effects to allow for heterogeneity across studies. We propose a method that uses an approximate semi-Bayes procedure to update evidence on the among-study variance, starting with an informative prior distribution that might be based on findings from previous meta-analyses. We compare our methods with other approaches, including the traditional method of cumulative meta-analysis, in a simulation study and observe that it has Type I and Type II error rates close to the nominal level. We illustrate the method using an example in the treatment of bleeding peptic ulcers. | lld:pubmed |
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| pubmed-article:21472757 | pubmed:language | eng | lld:pubmed |
| pubmed-article:21472757 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:21472757 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:21472757 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:21472757 | pubmed:month | Apr | lld:pubmed |
| pubmed-article:21472757 | pubmed:issn | 1097-0258 | lld:pubmed |
| pubmed-article:21472757 | pubmed:author | pubmed-author:HigginsJulian... | lld:pubmed |
| pubmed-article:21472757 | pubmed:author | pubmed-author:WhiteheadAnne... | lld:pubmed |
| pubmed-article:21472757 | pubmed:author | pubmed-author:SimmondsMarkM | lld:pubmed |
| pubmed-article:21472757 | pubmed:copyrightInfo | Copyright © 2010 John Wiley & Sons, Ltd. | lld:pubmed |
| pubmed-article:21472757 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:21472757 | pubmed:day | 30 | lld:pubmed |
| pubmed-article:21472757 | pubmed:volume | 30 | lld:pubmed |
| pubmed-article:21472757 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:21472757 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:21472757 | pubmed:pagination | 903-21 | lld:pubmed |
| pubmed-article:21472757 | pubmed:dateRevised | 2011-11-7 | lld:pubmed |
| pubmed-article:21472757 | pubmed:meshHeading | pubmed-meshheading:21472757... | lld:pubmed |
| pubmed-article:21472757 | pubmed:meshHeading | pubmed-meshheading:21472757... | lld:pubmed |
| pubmed-article:21472757 | pubmed:meshHeading | pubmed-meshheading:21472757... | lld:pubmed |
| pubmed-article:21472757 | pubmed:meshHeading | pubmed-meshheading:21472757... | lld:pubmed |
| pubmed-article:21472757 | pubmed:meshHeading | pubmed-meshheading:21472757... | lld:pubmed |
| pubmed-article:21472757 | pubmed:meshHeading | pubmed-meshheading:21472757... | lld:pubmed |
| pubmed-article:21472757 | pubmed:meshHeading | pubmed-meshheading:21472757... | lld:pubmed |
| pubmed-article:21472757 | pubmed:meshHeading | pubmed-meshheading:21472757... | lld:pubmed |
| pubmed-article:21472757 | pubmed:year | 2011 | lld:pubmed |
| pubmed-article:21472757 | pubmed:articleTitle | Sequential methods for random-effects meta-analysis. | lld:pubmed |
| pubmed-article:21472757 | pubmed:affiliation | MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 0SR, U.K. julian.higgins@mrc-bsu.cam.ac.uk | lld:pubmed |
| pubmed-article:21472757 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:21472757 | pubmed:publicationType | Comparative Study | lld:pubmed |
| pubmed-article:21472757 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
