000 | 01898nam a22003257a 4500 | ||
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001 | sulb0080430 | ||
003 | BD-SySUS | ||
005 | 20250303100251.0 | ||
008 | 250303s2022 flu b 001 0 eng | ||
020 |
_a9780367610074 _q(hardback) |
||
020 |
_a9780367619770 _q(paperback) |
||
020 |
_z9781003107347 _q(ebook) |
||
040 |
_aDLC _beng _cDLC _erda _dDLC |
||
042 | _apcc | ||
082 | 0 | 0 |
_a610.727 _223 _bHAD |
100 | 1 |
_aHarrer, Mathias, _eauthor. _968627 |
|
245 | 1 | 0 |
_aDoing meta-analysis with R : _ba hands-on guide / _cMathias Harrer [and three others]. |
250 | _aFirst edition. | ||
264 | 1 |
_aBoca Raton : _bCRC Press/Taylor & Francis Group, _c[2022] |
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300 |
_axxvi, 474 pages _billustrations ; _c24 cm |
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336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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504 | _aIncludes bibliographical references and index. | ||
520 |
_a"This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced, but highly relevant topics such as network meta-analysis, multi-/three-level meta-analyses, Bayesian meta-analysis approaches, SEM meta-analysis are also covered. A companion R package, dmetar, is introduced in the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide"-- _cProvided by publisher. |
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650 | 0 |
_aMeta-analysis. _968628 |
|
650 | 0 |
_aR (Computer program language) _968629 |
|
776 | 0 | 8 |
_iOnline version : _aHarrer, Mathias. _tDoing meta-analysis with R _bFirst edition. _dBoca Raton : CRC Press, 2021 _z9780367619770 _w(DLC) 2021017097 |
942 |
_2ddc _cBK |
||
999 |
_c86705 _d86705 |