Response to Kim et al. "When conducting a systematic review, can one trade search efficiency for potential publication bias?".
- Published in:
- Research Synthesis Methods, 2022, v. 13, n. 6, p. 664, doi. 10.1002/jrsm.1607
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- Publication type:
- Article
Works matching IS 17592879 AND DT 2022 AND VI 13 AND IP 6
Results: 12
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Bayesian sparse modeling to identify high‐risk subgroups in meta‐analysis of safety data.
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 807, doi. 10.1002/jrsm.1597
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- Publication type:
- Article
3
When conducting a systematic review, can one trade search efficiency for potential publication bias?
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 662, doi. 10.1002/jrsm.1596
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- Publication type:
- Article
4
Using systems perspectives in evidence synthesis: A methodological mapping review.
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 667, doi. 10.1002/jrsm.1595
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- Article
5
Assessment of key characteristics, methodology, and effect size measures used in meta‐analysis of human‐health‐related animal studies.
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 790, doi. 10.1002/jrsm.1578
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- Article
6
Efficient searching for NICE public health guidelines: Would using fewer sources still find the evidence?
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 760, doi. 10.1002/jrsm.1577
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- Article
7
How to observe the principle of concurrent control in an arm‐based meta‐analysis using SAS procedures GLIMMIX and BGLIMM.
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 821, doi. 10.1002/jrsm.1576
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- Article
8
A comparison of methods for enriching network meta‐analyses in the absence of individual patient data.
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 745, doi. 10.1002/jrsm.1568
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- Article
9
Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data.
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 716, doi. 10.1002/jrsm.1565
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- Article
10
Location‐scale models for meta‐analysis.
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 697, doi. 10.1002/jrsm.1562
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- Article
11
Incorporating historical control information in ANCOVA models using the meta‐analytic‐predictive approach.
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- Research Synthesis Methods, 2022, v. 13, n. 6, p. 681, doi. 10.1002/jrsm.1561
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- Article
12
Issue Information.
- Published in:
- Research Synthesis Methods, 2022, v. 13, n. 6, p. 661, doi. 10.1002/jrsm.1497
- Publication type:
- Article