Improved standard error estimator for maintaining the validity of inference in cluster randomized trials with a small number of clusters

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Biometrical journal. Biometrische Zeitschrift

• Publication date

  2017-05-01

• Fields of study

  Mathematics, Medicine

• Identifiers
  DOI 10.1002/bimj.201600182PMID 28128854
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Finite-sample corrected generalized estimating equation of population average treatment effects in stepped wedge cluster randomized trials

  2017cited by this paper
• A covariance correction that accounts for correlation estimation to improve finite-sample inference with generalized estimating equations: a study on its applicability with structured correlation matrices

  2016cited by this paper
• Intra‐cluster correlation selection for cluster randomized trials

  2016cited by this paper
• Small sample performance of bias‐corrected sandwich estimators for cluster‐randomized trials with binary outcomes

  2015influential reference
• [Cluster randomised trials].

  2014cited by this paper
• On small‐sample inference in group randomized trials with binary outcomes and cluster‐level covariates

  2013cited by this paper
• A bias correction for covariance estimators to improve inference with generalized estimating equations that use an unstructured correlation matrix

  2013cited by this paper
• A Practical Guide to Cluster Randomised Trials in Health Services Research

  2012cited by this paper
• Cluster randomized trials of cancer screening interventions: are appropriate statistical methods being used?

  2011cited by this paper
• Impact of CONSORT extension for cluster randomised trials on quality of reporting and study methodology: review of random sample of 300 trials, 2000-8

  2011influential reference
• Sample Size Considerations for GEE Analyses of Three‐Level Cluster Randomized Trials

  2010cited by this paper
• Generalized Estimating Equations

  2010cited by this paper
• Using second‐order generalized estimating equations to model heterogeneous intraclass correlation in cluster‐randomized trials

  2009influential reference
• Analysis of Group Randomized Trials with Multiple Binary Endpoints and Small Number of Groups

  2009cited by this paper
• The Intra‐Cluster Correlation Coefficient in Cluster Randomized Trials: A Review of Definitions

  2009influential reference
• A Comparison of Two Bias‐Corrected Covariance Estimators for Generalized Estimating Equations

  2007cited by this paper
• COMPARISON OF FOUR SMALL SAMPLE BIAS CORRECTIONS OF THE EMPIRICAL COVARIANCE ESTIMATORS

  2006cited by this paper
• Long-term Results From a Randomized Controlled Trial to Increase Cancer Screening Among Attendees of Community Health Centers

  2005cited by this paper
• Intraclass correlation coefficient and outcome prevalence are associated in clustered binary data.

  2005cited by this paper
• Modified GEE and Goodness of the Marginal Fit (GOMF) Test with Correlated Binary Responses for Contingency Tables

  2004influential reference
• A Randomized Controlled Trial to Increase Cancer Screening Among Attendees of Community Health Centers

  2004cited by this paper
• An integrated population‐averaged approach to the design, analysis and sample size determination of cluster‐unit trials

  2003cited by this paper
• Small‐sample adjustments in using the sandwich variance estimator in generalized estimating equations

  2002cited by this paper
• Bayesian methods of analysis for cluster randomized trials with binary outcome data.

  2001cited by this paper
• Small‐Sample Adjustments for Wald‐Type Tests Using Sandwich Estimators

  2001cited by this paper
• A Note on the Efficiency of Sandwich Covariance Matrix Estimation

  2001influential reference
• Analysis of cluster randomized trials with repeated cross-sectional binary measurements.

  2001cited by this paper
• A Covariance Estimator for GEE with Improved Small‐Sample Properties

  2001cited by this paper
• Analysis of a cluster randomized trial with binary outcome data using a multi-level model.

  2000cited by this paper
• Cohort versus cross-sectional design in large field trials: precision, sample size, and a unifying model.

  1994cited by this paper
• Longitudinal data analysis using generalized linear models

  1986influential reference

• Restricted mean survival time in cluster randomized trials with a small number of clusters: Improving variance estimation of the intervention effect from the pseudo-values regression.

  2026cites this paper
• Getting it right: Methods for risk ratios and risk differences cluster randomized trials with a small number of clusters

  2025cites this paper
• The performance of small sample correction methods for controlling Type I error when analysing parallel cluster randomised trials: a systematic review of simulation studies.

  2025cites this paper
• Do Communities Implementing the Communities That HEAL Intervention Have Significantly Lower Rates of High-Risk Opioid Prescribing and Dispensing?

  2025cites this paper
• Explicit inference: A meta-replication of SEER cancer registry research evaluating the Affordable Care Act's Medicaid expansion.

  2024cites this paper
• Community-Based Cluster-Randomized Trial to Reduce Opioid Overdose Deaths.

  2024cites this paper
• Reducing perceived barriers to scaling up overdose education and naloxone distribution and medications for opioid use disorder in the United States in the HEALing (helping end addiction long-term®) communities study.

  2024cites this paper
• The effect of number of clusters and magnitude of within‐cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research

  2024cites this paper
• Compare the marginal effects for environmental exposure and biomonitoring data with repeated measurements and values below the limit of detection

  2024cites this paper
• Impact of the Communities That HEAL Intervention on Buprenorphine-Waivered Practitioners and Buprenorphine Prescribing

  2024cites this paper
• Stigma and efficacy beliefs regarding opioid use disorder treatment and naloxone in communities participating in the HEALing Communities Study intervention

  2024cites this paper
• A Comparison of Variance Estimators for Logistic Regression Models Estimated Using Generalized Estimating Equations (GEE) in the Context of Observational Health Services Research

  2024influential citation
• Communities That HEAL Intervention and Mortality Including Polysubstance Overdose Deaths

  2024cites this paper
• Finite‐sample adjustments in variance estimators for clustered competing risks regression

  2022cites this paper
• Performance of model-based vs. permutation tests in the HEALing (Helping to End Addiction Long-termSM) Communities Study, a covariate-constrained cluster randomized trial

  2022cites this paper
• Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials

  2022cites this paper
• Leveraging baseline covariates to analyze small cluster‐randomized trials with a rare binary outcome

  2022influential citation
• Clustered restricted mean survival time regression

  2022cites this paper
• Design and analysis of cluster randomized trials with time‐to‐event outcomes under the additive hazards mixed model

  2022cites this paper
• Cluster randomised trials with a binary outcome and a small number of clusters: comparison of individual and cluster level analysis method

  2022cites this paper
• power swgee: GEE-based power calculations in stepped wedge cluster randomized trials

  2022influential citation
• Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcome

  2021cites this paper
• Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials

  2021cites this paper
• On Small-Sample Inference in Multiphase Stepped Wedge Cluster Randomized Trial (MSW-CRT) With Binary Outcomes

  2021influential citation
• Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation

  2021cites this paper
• Randomization‐based inference for a marginal treatment effect in stepped wedge cluster randomized trials

  2021cites this paper
• xtgeebcv: A command for bias-corrected sandwich variance estimation for GEE analyses of cluster randomized trials

  2020cites this paper
• Maintaining the validity of inference in small‐sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations

  2020cites this paper
• Systematic review of endoscopic-assisted surgical management for congenital nasolacrimal duct obstruction.

  2020cites this paper
• The HEALing (Helping to End Addiction Long-term SM) Communities Study: Protocol for a cluster randomized trial at the community level to reduce opioid overdose deaths through implementation of an integrated set of evidence-based practices

  2020cites this paper
• Assessment of triphenyl phosphate (TPhP) exposure to nail salon workers by air, hand wipe, and urine analysis.

  2020cites this paper
• Design and analysis considerations for cohort stepped wedge cluster randomized trials with a decay correlation structure

  2019cites this paper
• Essential Ingredients and Innovations in the Design and Analysis of Group-Randomized Trials.

  2019cites this paper
• Effect Partitioning in Cross-Sectionally Clustered Data Without Multilevel Models

  2019cites this paper
• Design and analysis of group-randomized trials in cancer: A review of current practices.

  2018cites this paper
• Supplementary appendix for “A readily available improvement over method of moments for intra-custer correlation estimation in the context of cluster randomized trials and fitting a GEE-type marginal model for binary outcomes”

  2018cites this paper
• Improved Standard Error Estimation for Maintaining the Validities of Inference in Small-Sample Cluster Randomized Trials and Longitudinal Studies

  2018influential citation
• A readily available improvement over method of moments for intra-cluster correlation estimation in the context of cluster randomized trials and fitting a GEE–type marginal model for binary outcomes

  2018cites this paper
• A comparison of bias‐corrected empirical covariance estimators with generalized estimating equations in small‐sample longitudinal study settings

  2018cites this paper
• An evaluation of constrained randomization for the design and analysis of group‐randomized trials with binary outcomes

  2017cites this paper