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In an IPD meta-analysis, patient-level data from multiple studies or settings are combined to address a certain research question. IPD meta-analyses tend to be common for large-scale and international projects, and they are less limited than aggregate data (AD) meta-analyses in terms of the
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Taichman, Darren B.; Backus, Joyce; Baethge, Christopher; Bauchner, Howard; de Leeuw, Peter W.; Drazen, Jeffrey M.; Fletcher, John; Frizelle, Frank A.; Groves, Trish; Haileamlak, Abraham; James, Astrid; Laine, Christine; Peiperl, Larry; Pinborg, Anja; Sahni, Peush; Wu, Sinan (2016).
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availability and quality of data they can use. Due to the high level of precision and consistency this approach allows for (which in turn makes it easier for researchers to minimize
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Debray, Thomas P. A.; Riley, Richard D.; Rovers, Maroeska M.; Reitsma, Johannes B.; Moons, Karel G. M.; Group, Cochrane IPD Meta-analysis
Methods (2015-10-13).
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Tierney, Jayne F.; Pignon, Jean-Pierre; Gueffyier, Francois; Clarke, Mike; Askie, Lisa; Vale, Claire L.; Burdett, Sarah (November 2015).
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Tierney, Jayne F.; Vale, Claire; Riley, Richard; Smith, Catrin Tudur; Stewart, Lesley; Clarke, Mike; Rovers, Maroeska (2015-07-21).
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Over the past few decades, meta-analyses conducted with IPD (also known as IPD meta-analyses) have become increasingly popular.
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to evaluate the predictive performance of prognostic models
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