Improved tests for a random effects meta‐regression with a single covariate

By Guido Knapp, J. Hartung. Statistics in Medicine, 2003

1,902 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d083ef7fc82781a1ab4e765a3a9447ffa821d064

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Citations in the corpus

The impact of land property rights interventions on investment and agricultural productivity in developing countries: a systematic review (2017, methodology): “Standard errors apply the Knapp and Hartung (2003) correction to account for uncertainty in the tau-sq. estimates.”
Fitting three-level meta-analytic models in R: A step-by-step tutorial (2016, methodology): “Recall that we use the Knapp and Hartung adjustment (Knapp & Hartung, 2003) in our analyses, implying that the omnibus test is based on the F distribution (and not on the normal distribution); • From the Model Results , we can derive the mean effect of the reference category, which is 0.812, and…”
Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses (2009, methodology): “The univariate Q meta-regression statistic is [22] Q= nY ∑ i=1 −2 i (Yi −Wi ̂Y,1)(2) (14)”
Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions: A Systematic Review and Meta-analysis. (2016, neutral): “(%) 49 480 (29)c 0 1184 (19) 78 (9) 4416 (24) 5729 (14) 4948 (15) 6227 (21) 3094 (45) 75 156 (24)”
Does job crafting always lead to employee well-being and performance? Meta-analytical evidence on the moderating role of societal culture (2020, methodology): “Due to the small number of studies, we used only bivariate meta-regressions with only one cultural practice as a moderator at a time, and we adjusted the standard errors of the estimated coefficients, following Knapp and Hartung (2003).”
Don't throw away your printed books: A meta-analysis on the effects of reading media on reading comprehension (2018, methodology): “Between-study heterogeneity was examined with ANOVAs for qualitative moderators and simple meta-regression for continuous moderators (Borenstein et al. 2009; Cooper et al, 2009), applying the adjustment proposed by Knapp and Hartung (2003).”
Stress-related and basic determinants of hair cortisol in humans: A meta-analysis. (2016, positive): “Statistics were corrected for small sample bias (Knapp and Hartung, 2003).”
Rose effect and the euro: is the magic gone? (2010, neutral): “This between-study variance is estimated using the restricted maximum likelihood method; t -values are computed employing the Knapp and Hartung (2003) modiﬁcation.”