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Showing 1 to 6 of 6 for “"Robust variance estimation"”.

  1. Using Robust Standard Errors to Combine Multiple Regression Estimates with Meta-Analysis

    … purpose of this study was to explore the use of robust variance estimation for combining commonly specified multiple regression models and for combining sample-dependent focal slope estimates from diversely specified models. A series of Monte-Carlo simulations were conducted to investigate the …

    loyola-thes Repository record for Using Robust Standard Errors to Combine Multiple Regression Estimates with Meta-Analysis (opens in a new tab)

  2. The Influence of Task Process and Task Structure on Transactive Memory Systems and Team Outcomes: A Meta-Regression Analysis

    … positive effects for all team outcomes through a robust variance estimation, <em>z </em>= 0.47 (<em>r</em> = 0.44), 95% CI [0.38, 0.56], p < .001. Exploratory meta-regression results revealed a significant difference in outcome measurement type, with self-report surveys (<em>z </em>= 0.78, r = …

    embry-riddle Repository record for The Influence of Task Process and Task Structure on Transactive Memory Systems and Team Outcomes: A Meta-Regression Analysis (opens in a new tab)

  3. Power approximation for the test of study-level categorical moderators in meta-regression with dependent effect sizes

    … the correlated-hierarchical effects model with robust variance estimation (CHE+RVE). Additionally, I conduct a Monte Carlo simulation to validate this power approximation formula against the true simulated power of a test of multiple contrasts from a CHE+RVE model. I also examine the Type I …

    texas Repository record for Power approximation for the test of study-level categorical moderators in meta-regression with dependent effect sizes (opens in a new tab)

  4. Weighting and moment conditions in Bayesian inference

    … use estimated weights include so-called doubly robust estimators, which have become popular in causal inference. There is a lack of consensus regarding the role of probability weights in Bayesian inference. In some settings, it is reasonable to believe that conditioning on certain observed …

    cambridge Repository record for Weighting and moment conditions in Bayesian inference (opens in a new tab)

  5. Ambulatory and hospitalized childhood pneumonia: a longitudinal study in a peri-urban low-income community with high vaccination coverage in Sub-Saharan Africa

    … ratios from modified Poisson regression with robust variance estimation. Findings From March 2012 to March 2015, 1137 pregnant women were enrolled, delivering 1143 live-born infants. Household environmental tobacco smoke exposure was common: 82% of children were exposed in the first 6 months …

    cape-town Repository record for Ambulatory and hospitalized childhood pneumonia: a longitudinal study in a peri-urban low-income community with high vaccination coverage in Sub-Saharan Africa (opens in a new tab)