Accurate confidence intervals for proportion in studies with clustered binary outcome
G Shan - Statistical methods in medical research, 2020 - journals.sagepub.com
… several binary outcomes from each cluster. Asymptotic methods are traditionally used for
confidence interval … sampling to further improve the performance of confidence intervals for ρ. …
confidence interval … sampling to further improve the performance of confidence intervals for ρ. …
A better confidence interval for kappa (κ) on measuring agreement between two raters with binary outcomes
JJ Lee, ZN Tu - Journal of Computational and Graphical Statistics, 1994 - Taylor & Francis
… confidence interval based on the profile variance and reparameterization. Extensive simulation
studies show that the new confidence interval … better confidence interval in estimating K,. …
studies show that the new confidence interval … better confidence interval in estimating K,. …
The effect of omitted covariates on confidence interval and study power in binary outcome analysis: a simulation study
A Negassa, JA Hanley - Contemporary clinical trials, 2007 - Elsevier
… form results in improved efficiency. The coverage of the confidence interval derived from
the … closer to the nominal level for the model including the covariate (see Fig. 2, Fig. 3, Fig. …
the … closer to the nominal level for the model including the covariate (see Fig. 2, Fig. 3, Fig. …
Exact confidence intervals for the average causal effect on a binary outcome
… They construct the first confidence interval by … exact confidence intervals that are more
computationally efficient. By exploiting recent advances in hypergeometric confidence intervals …
computationally efficient. By exploiting recent advances in hypergeometric confidence intervals …
A comparison of methods for meta‐analysis of a small number of studies with binary outcomes
T Mathes, O Kuss - Research synthesis methods, 2018 - Wiley Online Library
… model provided valid pooled effect measures and confidence intervals in this study.11
Another … In general, using Student t-distributed confidence intervals accounts better for the …
Another … In general, using Student t-distributed confidence intervals accounts better for the …
A novel confidence interval for a single proportion in the presence of clustered binary outcome data
MI Short, HJ Cabral, JM Weinberg… - … Methods in Medical …, 2020 - journals.sagepub.com
… -based confidence interval method, which we find to have better … confidence interval method
for independent binomial data and five existing confidence intervals for clustered binary data…
for independent binomial data and five existing confidence intervals for clustered binary data…
[HTML][HTML] A comparison of some approximate confidence intervals for a single proportion for clustered binary outcome data
… Interval estimation of the proportion parameter in the analysis of binary outcome data
arising in cluster studies is often an important problem in many biomedical applications. In this …
arising in cluster studies is often an important problem in many biomedical applications. In this …
A confidence interval approach for comparative studies involving binary outcomes in paired organs
M Tang, X He, G Tian - Communications in Statistics-Simulation …, 2013 - Taylor & Francis
… However, reliable asymptotic confidence intervals for … confidence intervals for medical studies
with bilateral binary … model-based confidence intervals (ie, confidence intervals not being …
with bilateral binary … model-based confidence intervals (ie, confidence intervals not being …
A comparison of confidence interval methods for the intraclass correlation coefficient in community-based cluster randomization trials with a binary outcome
MC Braschel, I Svec, GA Darlington… - Clinical Trials, 2016 - journals.sagepub.com
… These intervals tend to be more conservative when π = 0.30 or 0.50, but they are narrower
than those given by the same method when clusters are divided into pairs (ie mean width 0.08…
than those given by the same method when clusters are divided into pairs (ie mean width 0.08…
[HTML][HTML] Current practice in analysing and reporting binary outcome data—a review of randomised controlled trial reports
… considered sufficient to let us measure binary outcomes to a confidence interval (CI) width of
0.08 … suggest that the analysis and reporting of binary endpoints in RCTs needs to improve. …
0.08 … suggest that the analysis and reporting of binary endpoints in RCTs needs to improve. …
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