有助于
发表于 2025-3-25 06:50:18
Fixed Effect and Random Effects Meta-AnalysisFor both models the inverse variance method is introduced for estimation. The pros and cons of these methods in various contexts have been debated at length in the literature , without any conclusive resolution. Here, we briefly describe each model, and how it is estimated in the R package meta .
书法
发表于 2025-3-25 07:54:58
Meta-Analysis of Diagnostic Test Accuracy Studiese explain the issues raised by meta-analysis of diagnostic accuracy studies and how these may be addressed. Alongside the statistical models, we present the R package mada written for fitting these models and graphing the results.
蔓藤图饰
发表于 2025-3-25 14:48:04
https://doi.org/10.1007/978-3-319-21416-0diagnostic studies; meta-analysis; missing data; multivariate analysis; small study effects
啮齿动物
发表于 2025-3-25 17:46:32
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PRE
发表于 2025-3-25 23:11:26
Use R!http://image.papertrans.cn/m/image/631185.jpg
Perennial长期的
发表于 2025-3-26 02:01:01
Heterogeneity and Meta-RegressionVarious aspects of statistical heterogeneity have been introduced briefly in previous chapters. We now review and develop these ideas and describe the connection between subgroup analysis and meta-regression.
doxazosin
发表于 2025-3-26 04:37:36
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ERUPT
发表于 2025-3-26 11:39:29
Network Meta-AnalysisNetwork meta-analysis (also known as multiple treatment comparison or mixed treatment comparison) seeks to combine information from all randomised comparisons among a set of treatments for a given medical condition. It is therefore a key tool for evidence-based medicine and is currently a very active research topic .
轻率看法
发表于 2025-3-26 16:34:40
978-3-319-21415-3Springer International Publishing Switzerland 2015
abysmal
发表于 2025-3-26 18:19:50
Meta-Analysis with R978-3-319-21416-0Series ISSN 2197-5736 Series E-ISSN 2197-5744