Not accounting for clustering in data from multiple centers might yield biased estimates and their standard errors, potentially leading to incorrect inferences. We fit 15 different models with different correlation structures and with/without adjustment for small clusters, including unadjusted logistic regression, Population-averaged models (Generalized Estimating Equations), Cluster-specific models (linear and non-linear with random intercept) and Survey data analysis methods to study the association of variables with the probability of declining yellow fever vaccine among patients seeking pre-travel health consultations at 18 US practices in the Global TravEpiNet Consortium from 1 January, 2009, to 6 June, 2012. Results varied by the meth...
Sauzet O, Wright KC, Marston L, Brocklehurst P, Peacock JL. Modelling the hierarchical structure in ...
Background: Multicenter study designs have several advantages, but the possibility of non-random mea...
BACKGROUND: Cluster randomised trials (CRTs) are often designed with a small number of clusters, but...
BACKGROUND: Cluster randomized trials (CRTs) are increasingly used to assess the effectiveness of he...
BACKGROUND: Studies involving clustering effects are common, but there is little consistency in thei...
Difference-in-differences (DID) estimation has become increasingly popular as an approach to evaluat...
BACKGROUND: Clustered data arise in research when patients are clustered within larger units. Genera...
Binary outcome data with small clusters often arise in medical studies and the size of clusters migh...
Clustered data arise in many scenarios. We may wish to fit a marginal regression model relating outc...
In statistical analysis, ignoring the clustered structure of data can lead to invalid results and st...
BACKGROUND: Clustering commonly affects the uncertainty of parameter estimates in epidemiological st...
Contains fulltext : 52903.pdf (publisher's version ) (Closed access)A major method...
Inference for estimates of treatment effects with clustered data requires great care when treatment ...
Background: clustering of observations is a common phenomenon in epidemiological and clinical resear...
Important public health research often requires the use of community based studies due to logistical...
Sauzet O, Wright KC, Marston L, Brocklehurst P, Peacock JL. Modelling the hierarchical structure in ...
Background: Multicenter study designs have several advantages, but the possibility of non-random mea...
BACKGROUND: Cluster randomised trials (CRTs) are often designed with a small number of clusters, but...
BACKGROUND: Cluster randomized trials (CRTs) are increasingly used to assess the effectiveness of he...
BACKGROUND: Studies involving clustering effects are common, but there is little consistency in thei...
Difference-in-differences (DID) estimation has become increasingly popular as an approach to evaluat...
BACKGROUND: Clustered data arise in research when patients are clustered within larger units. Genera...
Binary outcome data with small clusters often arise in medical studies and the size of clusters migh...
Clustered data arise in many scenarios. We may wish to fit a marginal regression model relating outc...
In statistical analysis, ignoring the clustered structure of data can lead to invalid results and st...
BACKGROUND: Clustering commonly affects the uncertainty of parameter estimates in epidemiological st...
Contains fulltext : 52903.pdf (publisher's version ) (Closed access)A major method...
Inference for estimates of treatment effects with clustered data requires great care when treatment ...
Background: clustering of observations is a common phenomenon in epidemiological and clinical resear...
Important public health research often requires the use of community based studies due to logistical...
Sauzet O, Wright KC, Marston L, Brocklehurst P, Peacock JL. Modelling the hierarchical structure in ...
Background: Multicenter study designs have several advantages, but the possibility of non-random mea...
BACKGROUND: Cluster randomised trials (CRTs) are often designed with a small number of clusters, but...