Meta-analysis with R:
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cham ; Heidelberg ; New York ; Dordrecht ; London
Springer
[2015]
|
| Series: | Use R!
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Physical Description: | xii, 252 Seiten Illustrationen |
| ISBN: | 9783319214153 |
Staff View
MARC
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Record in the Search Index
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| adam_text | Contents
Part I Getting Started
1 An Introduction to Meta-Analysis in R ............................ 3
1.1 Getting Started with R ......................................... 4
1.1.1 Quitting R............................................... 5
1.1.2 R as a Calculator........................................ 5
1.1.3 Getting Help............................................. 6
1.2 Loading, Saving and Restoring Data.............................. 6
1.2.1 Importing Data from Other Packages....................... 9
1.3 Select Variables from an R Dataset............................. 10
1.4 Running Scripts................................................ 12
1.5 Installing and Using Libraries of Additional Functions......... 13
1.6 A First Meta-Analysis with R................................... 13
1.7 Summary........................................................ 16
References....................................................... 16
Part II Standard Methods
2 Fixed Effect and Random Effects Meta-Analysis........................ 21
2.1 Effect Measures for Continuous Outcomes........................ 22
2.1.1 Mean Difference......................................... 22
2.1.2 Standardised Mean Difference............................ 25
2.2 Fixed Effect Model............................................. 28
2.3 Random Effects Model........................................... 34
2.3.1 Estimation of Between-Study Variance ................... 36
2.3.2 Hartung—Knapp Adjustment................................ 37
2.3.3 Prediction Intervals.................................... 39
2.4 Tests and Measures of Heterogeneity ........................... 40
2.5 Subgroup Analysis............................................ 41
ix
x Contents
2.6 Meta-Analysis of Other Outcomes................................. 45
2.6.1 Meta-Analysis with Survival Outcomes.................. 46
2.6.2 Meta-Analysis of Cross-Over Trials....................... 48
2.6.3 Meta-Analysis of Adjusted Treatment Effects.............. 50
2.7 Summary......................................................... 51
References........................................................... 52
3 Meta-Analysis with Binary Outcomes .................................. 55
3.1 Effect Measures for Binary Outcomes ............................ 55
3.1.1 Odds Ratio............................................... 57
3.1.2 Risk Ratio............................................... 59
3.1.3 Risk Difference.......................................... 60
3.1.4 Arcsine Difference....................................... 61
3.2 Estimation in Sparse Data....................................... 63
3.2.1 Peto Odds Ratio ........................................ 66
3.3 Fixed Effect Model.............................................. 68
3.3.1 Inverse Variance Method ................................. 68
3.3.2 Mantel-Hacnszcl Method................................... 72
3.3.3 Peto Method ............................................. 75
3.4 Random Effects Model............................................ 76
3.4.1 DerSimonian-Laird Method................................. 77
3.5 Heterogeneity and Subgroup Analyses............................. 79
3.6 Summary......................................................... 81
References........................................................... 81
4 Heterogeneity and Meta-Regression ................................... 85
4.1 Sources of Heterogeneity........................................ 85
4.2 Measures of Heterogeneity....................................... 85
4.3 Test for Subgroup Differences................................... 88
4.3.1 Fixed Effect Model....................................... 89
4.3.2 Random Effects Model with Separate Estimates
of r2................................................... 91
4.3.3 Random Effects Model with Common Estimate
of r2................................................... 94
4.4 Meta-Regression................................................. 97
4.4.1 Meta-Regression with a Categorical Covariatc............. 97
4.4.2 Meta-Regression with a Continuous Covariatc............. 100
4.5 Summary........................................................ 103
References.......................................................... 104
Part III Advanced Topics
5 Small-Study Effects in Meta-Analysis ............................... 107
5.1 Graphical Illustration of Small-Study Effects.................. 108
5.1.1 Funnel Plot............................................. 109
5.1.2 Radial Plot............................................ 113
Contents
XI
5.2 Statistical lests lor Small-Study i*lïects................
5.2.1 Classical lests by Begg and Hgger................
5.2.2 Modified Versions of Classical lests for Binary
Outcomes
5.3 Adjusting for Small-Study Fffects...............
5.3.1 Trim-and-HIl Method......................
5.3.2 Copas Selection Model....................
5.3.3 Adjustment by Regression.................
5.4 Summary.........................................
References...........................................
... N5
... 115
120
124
124
128
135
I3S
138
6 Missing Data in Meta-Analysis ......................
6.1 Missing Outcome Data: Some Considerations.....
6.1.1 Study-Level Adjustment for Missing Data
6.1.2 Sensitivity Analysis Strategies........................... 146
6.1.3 Strategy 1: Fixed iujual ................................. 149
6.1.4 Strategy 2: Fixed Opposite............................... 150
6.1.5 Strategy 3: Random Hqual ................................. 151
6.1.6 Strategy 4: Random Uncorrelated........................... 152
6.1.7 Discussion of the Four Strategies........................ 153
6.2 Missing Precision................................................ 155
6.2.1 Multiple Imputation Approach............................ 156
6.2.2 Missing Participant Numbers............................... 163
6.3 Summary.......................................................... 163
References............................................................ 164
7 Multivariate Meta-Analysis .......................................... 165
7.1 Fixed Hfleet Model............................................. 165
7.2 Dealing with Unbalanced Data................................... 173
7.3 Random Fffects Model........................................... 179
7.3.1 Fitting the Random Fffects Model........................ 179
7.4 Discussion ................................................... | H3
References........................................................... 1X4
8 Network Meta-Analysis................................................ 1X7
8. J Concepts and Challenges of Network Meta-Analysis............... 1X7
8.2 Model and Intimation in Network Meta-Analysis................. I X^
8.2.1 Fixed Hffect Model...................................... 190
8.2.2 Random Fffects Model.................................... ini
8.3 Using the R Package netmeta lor Network Meta-Analysis
8.3.1 Basic Analysis and Network Hols..............
8.3.2 A First Network Plot.............................
8.3.3 A More Detailed Look at the Output..........
8.3.4 Additional Network Plots......................
8.3.5 Forest Plots .....................................
Decomposition of the Heterogeneity Statistic............ 2ox
8.4
Contents
8.5 The Net Heat Plot............................................. 209
8.5.1 Bland-Altman Plot to Assess the Effect
of Heterogeneity on Estimated Treatment Comparisons___ 212
8.6 Summary....................................................... 214
References......................................................... 214
9 Meta-Analysis of Diagnostic Test Accuracy Studies................... 217
9.1 Special Challenges in Meta-Analysis of Diagnostic Test
Accuracy S tudies............................................. 217
9.2 Analysis of Diagnostic Test Accuracy Studies................. 218
9.2.1 Definition of Sensitivity and Specificity............. 218
9.2.2 Additional Measures: Diagnostic Odds Ratio
and Likelihood Ratios.................................. 220
9.2.3 Tests Based on a Continuous Marker.................... 225
9.3 Scatterplot of Sensitivity and Specificity.................. 227
9.4 Models for Meta-Analysis of Diagnostic Test Accuracy Studies — 229
9.4.1 Hierarchical Model.................................... 230
9.4.2 Bivariate Model....................................... 231
9.5 Methods for Estimating a Summary ROC Curve................... 233
9.6 Summary....................................................... 235
References......................................................... 236
A Further Information on R ............................................ 237
A. 1 Installation of R............................................. 237
A.2 Importing Data into R........................................ 238
A.2.1 Import Text Files..................................... 238
A.2.2 Import Data from RevMan 5............................. 239
A.3 R Packages for Meta-Analysis................................... 242
A.3.1 General Purpose R Packages for Meta-Analysis.......... 242
A.3.2 R Packages to Conduct Network Meta-Analysis .......... 245
References......................................................... 245
Index
247
Guido Schwarzer · James R. Carpenter · Gerta Rucker
Meta-Analysis with R
This 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.
|
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| discipline | Informatik Soziologie Psychologie |
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| isbn | 9783319214153 |
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| spelling | Schwarzer, Guido Verfasser (DE-588)1120729602 aut Meta-analysis with R Guido Schwarzer, James R. Carpenter, Gerta Rücker Cham ; Heidelberg ; New York ; Dordrecht ; London Springer [2015] xii, 252 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Use R! Metaanalyse (DE-588)4169552-5 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf (DE-588)4142527-3 Anleitung gnd-content R Programm (DE-588)4705956-4 s Metaanalyse (DE-588)4169552-5 s DE-188 Carpenter, James R. Verfasser (DE-588)1030401640 aut Rücker, Gerta 1955- Verfasser (DE-588)141363118 aut Erscheint auch als Online-Ausgabe 978-3-319-21416-0 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028378238&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028378238&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Schwarzer, Guido Carpenter, James R. Rücker, Gerta 1955- Meta-analysis with R Metaanalyse (DE-588)4169552-5 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4169552-5 (DE-588)4705956-4 (DE-588)4142527-3 |
| title | Meta-analysis with R |
| title_auth | Meta-analysis with R |
| title_exact_search | Meta-analysis with R |
| title_full | Meta-analysis with R Guido Schwarzer, James R. Carpenter, Gerta Rücker |
| title_fullStr | Meta-analysis with R Guido Schwarzer, James R. Carpenter, Gerta Rücker |
| title_full_unstemmed | Meta-analysis with R Guido Schwarzer, James R. Carpenter, Gerta Rücker |
| title_short | Meta-analysis with R |
| title_sort | meta analysis with r |
| topic | Metaanalyse (DE-588)4169552-5 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | Metaanalyse R Programm Anleitung |
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