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
… What is not known in the literature is the impact of omitted covariates on confidence interval
… confidence interval estimation and study power in an uncorrelated binary outcome setting. …
… confidence interval estimation and study power in an uncorrelated binary outcome setting. …
Confidence interval estimation of the intraclass correlation coefficient for binary outcome data
G Zou, A Donner - Biometrics, 2004 - academic.oup.com
… correlation coefficient that may be applied to binary outcome data arising in clusters of variable
… Simulation results indicate that confidence intervals based on the estimator proposed by …
… Simulation results indicate that confidence intervals based on the estimator proposed by …
Exact confidence intervals for the average causal effect on a binary outcome
… We propose two approaches to constructing confidence intervals for τ based on the …
confidence intervals and proposes an optimal procedure to construct a confidence interval …
confidence intervals and proposes an optimal procedure to construct a confidence interval …
A comparison of some approximate confidence intervals for a single proportion for clustered binary outcome data
… confidence interval for the proportion, based on clustered binary data, by assessing the
performance of the 15 intervals … average interval length using the pre-assigned confidence levels …
performance of the 15 intervals … average interval length using the pre-assigned confidence levels …
Accurate confidence intervals for proportion in studies with clustered binary outcome
G Shan - Statistical methods in medical research, 2020 - journals.sagepub.com
… Clustered binary data are commonly encountered in many medical research … binary
outcomes from each cluster. Asymptotic methods are traditionally used for confidence interval …
outcomes from each cluster. Asymptotic methods are traditionally used for confidence interval …
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
… other random effects methods for constructing confidence intervals based on 𝜏 2 often perform
… provided valid pooled effect measures and confidence intervals in this study.11 Another …
… provided valid pooled effect measures and confidence intervals in this study.11 Another …
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
… the standard confidence interval estimation … confidence interval based on the profile variance
and reparameterization. Extensive simulation studies show that the new confidence interval …
and reparameterization. Extensive simulation studies show that the new confidence interval …
A multilevel model framework for meta‐analysis of clinical trials with binary outcomes
… fitted to binary data [16], so profile likelihood based intervals are not presented when applying
individual data methods. We can however construct 95 per cent confidence intervals for …
individual data methods. We can however construct 95 per cent confidence intervals for …
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
… Section 2 of this paper discusses one existing confidence interval method for … confidence
intervals for clustered binary data. In Section 2 we also propose a new confidence interval for …
intervals for clustered binary data. In Section 2 we also propose a new confidence interval for …
Methods for estimating relative risk in studies of common binary outcomes
AK Dwivedi, I Mallawaarachchi, S Lee… - Journal of applied …, 2014 - Taylor & Francis
… to review the common methods for estimating adjusted RR and its confidence interval. … a
binary outcome (Y) that is associated with a binary treatment/exposure variable (T) and a binary …
binary outcome (Y) that is associated with a binary treatment/exposure variable (T) and a binary …
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