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_aSchwarzer, Guido. _eauthor. _9467539 |
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_aMeta-Analysis with R _helectronic resource _cby Guido Schwarzer, James R. Carpenter, Gerta Rücker. |
| 260 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
||
| 300 |
_aXII, 252 p. 58 illus., 4 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_aUse R!, _x2197-5736 |
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| 505 | 0 | _aPart I Getting Started: An Introduction to Meta-Analysis in R -- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis -- Meta-Analysis with Binary Outcomes -- Heterogeneity and Meta-Regression -- Part III Advanced Topics: Small-Study Effects in Meta-Analysis -- Missing Data in Meta-Analysis -- Multivariate Meta-Analysis -- Network Meta-Analysis -- Meta-Analysis of Diagnostic Test Accuracy Studies -- Further Information on R -- Index. | |
| 520 | _aThis book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies. . | ||
| 650 | 0 |
_aStatistics. _9124796 |
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| 650 | 0 |
_aBiostatistics. _9413970 |
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_aStatistics. _9124796 |
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_aStatistics for Life Sciences, Medicine, Health Sciences. _9265982 |
| 650 | 2 | 4 |
_aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law. _9303278 |
| 650 | 2 | 4 |
_aBiostatistics. _9413970 |
| 700 | 1 |
_aCarpenter, James R. _eauthor. _9467540 |
|
| 700 | 1 |
_aRücker, Gerta. _eauthor. _9467541 |
|
| 710 | 2 |
_aSpringerLink (Online service) _9143950 |
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| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-21416-0 |
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