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Guido Knapp

Datos Biográficos

ID7951139
NOMBREGuido Knapp
NOMBRESGuido
APELLIDOKnapp
FIRMAKNAPP G
AFILIACIONESTU Dortmund University
VERIFICADONo
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2003
AÑO MÁS RECIENTE DE PUBLICACIÓN2018
ÍNDICE H0
  • Physical Activity and Outdoor Play of Children in Public Playgrounds—Do Gender and Social Environment Matter

    Open Access•Anne K Reimers, Stephanie Schoeppe et al.•ARTICLE•International Journal of…•2018

    The presence of active children contributes to children’s physical activity levels in public playgrounds. Girls’ physical activity seems to be suppressed in the presence of boys

  • Methods to estimate the between‐study variance and its uncertainty in meta‐analysis

    Open Access•Areti Angeliki Veroniki, Dan Jackson et al.•ARTICLE•Research Synthesis Methods•2016

    Meta‐analyses are typically used to estimate the overall/mean of an outcome of interest. However, inference about between‐study variability, which is typically modelled using a between‐study variance parameter, is usually an additional aim. The DerSimonian and Laird method, currently widely used by default to estimate the between‐study variance, has been long challenged. Our aim is to identify known methods for estimation of the between‐study var…

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

    Open Access•Guido Knapp, Joachim Hartung•ARTICLE•Statistics in Medicine•2003

    The explanation of heterogeneity plays an important role in meta‐analysis. The random effects meta‐regression model allows the inclusion of trial‐specific covariates which may explain a part of the heterogeneity. We examine the commonly used tests on the parameters in the random effects meta‐regression with one covariate and propose some new test statistics based on an improved estimator of the variance of the parameter estimates. The approximati…

Sin obras prominentes en esta página.

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

    Open Access•Guido Knapp, Joachim Hartung•ARTICLE•Statistics in Medicine•2003

    The explanation of heterogeneity plays an important role in meta‐analysis. The random effects meta‐regression model allows the inclusion of trial‐specific covariates which may explain a part of the heterogeneity. We examine the commonly used tests on the parameters in the random effects meta‐regression with one covariate and propose some new test statistics based on an improved estimator of the variance of the parameter estimates. The approximati…

  • Methods to estimate the between‐study variance and its uncertainty in meta‐analysis

    Open Access•Areti Angeliki Veroniki, Dan Jackson et al.•ARTICLE•Research Synthesis Methods•2016

    Meta‐analyses are typically used to estimate the overall/mean of an outcome of interest. However, inference about between‐study variability, which is typically modelled using a between‐study variance parameter, is usually an additional aim. The DerSimonian and Laird method, currently widely used by default to estimate the between‐study variance, has been long challenged. Our aim is to identify known methods for estimation of the between‐study var…

  • Physical Activity and Outdoor Play of Children in Public Playgrounds—Do Gender and Social Environment Matter

    Open Access•Anne K Reimers, Stephanie Schoeppe et al.•ARTICLE•International Journal of…•2018

    The presence of active children contributes to children’s physical activity levels in public playgrounds. Girls’ physical activity seems to be suppressed in the presence of boys

Computer Science (3 obras) · Econometrics (2 obras) · Mathematics (2 obras) · Medicine (2 obras) · Meta-analysis (2 obras) · Meta-analysis and systematic reviews (2 obras) · Statistical Methods and Bayesian Inference (2 obras) · Statistical Methods in Clinical Trials (2 obras) · Statistics (2 obras) · Covariate (1 obras)

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