A selection model for accounting for publication bias in a full network meta-analysis.
about
Comparative efficacy and acceptability of first-generation and second-generation antidepressants in the acute treatment of major depression: protocol for a network meta-analysisRanking treatments in frequentist network meta-analysis works without resampling methods.Impact of different dietary approaches on blood pressure in hypertensive and prehypertensive patients: protocol for a systematic review and network meta-analysis.Impact of Physical Activity on Cognitive Decline, Dementia, and Its Subtypes: Meta-Analysis of Prospective StudiesSensitivity analysis for publication bias in meta-analysis of diagnostic studies for a continuous biomarker.Resolve conflicting rankings of outcomes in network meta-analysis: Partial ordering of treatments.
P2860
A selection model for accounting for publication bias in a full network meta-analysis.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh-hant
name
A selection model for accounting for publication bias in a full network meta-analysis.
@en
A selection model for accounting for publication bias in a full network meta-analysis.
@nl
type
label
A selection model for accounting for publication bias in a full network meta-analysis.
@en
A selection model for accounting for publication bias in a full network meta-analysis.
@nl
prefLabel
A selection model for accounting for publication bias in a full network meta-analysis.
@en
A selection model for accounting for publication bias in a full network meta-analysis.
@nl
P2860
P356
P1476
A selection model for accounting for publication bias in a full network meta-analysis.
@en
P2093
Alex Sutton
Dimitris Mavridis
P2860
P304
P356
10.1002/SIM.6321
P407
P577
2014-10-15T00:00:00Z