Goodness of fit tools for dose-response meta-analysis of binary outcomes [0.03%]
剂量反应meta分析中二分类疗效的模型合适性评估工具
Andrea Discacciati,Alessio Crippa,Nicola Orsini
Andrea Discacciati
Goodness of fit evaluation should be a natural step in assessing and reporting dose-response meta-analyses from aggregated data of binary outcomes. However, little attention has been given to this topic in the epidemiological literature, an...
Empirical evidence about inconsistency among studies in a pair-wise meta-analysis [0.03%]
成对型荟萃分析中研究之间不一致性的实证证据
Kirsty M Rhodes,Rebecca M Turner,Julian P T Higgins
Kirsty M Rhodes
This paper investigates how inconsistency (as measured by the I2 statistic) among studies in a meta-analysis may differ, according to the type of outcome data and effect measure. We used hierarchical models to analyse data from 3873 binary,...
Comparing multiple imputation methods for systematically missing subject-level data [0.03%]
比较系统缺失的个体水平数据的多重插补方法
David Kline,Rebecca Andridge,Eloise Kaizar
David Kline
When conducting research synthesis, the collection of studies that will be combined often do not measure the same set of variables, which creates missing data. When the studies to combine are longitudinal, missing data can occur on the obse...
Elena Kulinskaya,Richard Huggins,Samson Henry Dogo
Elena Kulinskaya
Whilst it is common in clinical trials to use the results of tests at one phase to decide whether to continue to the next phase and to subsequently design the next phase, we show that this can lead to biased results in evidence synthesis. T...
Pantelis G Bagos
Pantelis G Bagos
There are several user-written programs for performing meta-analysis in Stata (Stata Statistical Software: College Station, TX: Stata Corp LP). These include metan, metareg, mvmeta, and glst. However, there are several cases for which these...
Rose Baker,Dan Jackson
Rose Baker
An unobserved random effect is often used to describe the between-study variation that is apparent in meta-analysis datasets. A normally distributed random effect is conventionally used for this purpose. When outliers or other unusual estim...
Neil Hawkins,David A Scott,Beth Woods
Neil Hawkins
We present an alternative to the contrast-based parameterization used in a number of publications for network meta-analysis. This alternative "arm-based" parameterization offers a number of advantages: it allows for a "long" normalized data...
The design-by-treatment interaction model: a unifying framework for modelling loop inconsistency in network meta-analysis [0.03%]
治疗方式相互作用的设计模型：网络Meta分析中建模循环不一致性的统一框架
Dan Jackson,Paul Boddington,Ian R White
Dan Jackson
In this note, we clarify and prove the claim made Higgins et al. () that the design-by-treatment interaction model contains all possible loop inconsistency models. This claim provides a strong argument for using the design-by-treatment inte...
A Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons [0.03%]
广义多重结果混合处理比较的贝叶斯缺失数据框架
Hwanhee Hong,Haitao Chu,Jing Zhang et al.
Hwanhee Hong et al.
Bayesian statistical approaches to mixed treatment comparisons (MTCs) are becoming more popular because of their flexibility and interpretability. Many randomized clinical trials report multiple outcomes with possible inherent correlations....
Rejoinder to the discussion of "a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons," by S. Dias and A. E. Ades [0.03%]
对S.迪亚斯和A.E.阿德斯关于“广义多重结果混合治疗比较的贝叶斯缺失数据框架”的讨论的回应
Hwanhee Hong,Haitao Chu,Jing Zhang et al.
Hwanhee Hong et al.