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
Estimating the precision of a single proportion via a 100 (1− α)% confidence interval in the
presence of clustered data is an important statistical problem. It is necessary to account for …
presence of clustered data is an important statistical problem. It is necessary to account for …
A novel confidence interval for a single proportion in the presence of clustered binary outcome data
MI Short, HJ Cabral, JM Weinberg… - Statistical methods …, 2020 - pubmed.ncbi.nlm.nih.gov
Estimating the precision of a single proportion via a 100 (1-α)% confidence interval in the
presence of clustered data is an important statistical problem. It is necessary to account for …
presence of clustered data is an important statistical problem. It is necessary to account for …
A novel confidence interval for a single proportion in the presence of clustered binary outcome data.
MI Short, HJ Cabral, JM Weinberg… - Statistical Methods in …, 2019 - europepmc.org
Estimating the precision of a single proportion via a 100 (1-α)% confidence interval in the
presence of clustered data is an important statistical problem. It is necessary to account for …
presence of clustered data is an important statistical problem. It is necessary to account for …