A confidence interval approach to data analysis
J Di Stefano - Forest Ecology and Management, 2004 - Elsevier
… with their associated confidence intervals is often a more informative way of presenting
ecological data. A hypothetical data set is analysed and interpreted using both P-values and …
ecological data. A hypothetical data set is analysed and interpreted using both P-values and …
Confidence interval estimation of the intraclass correlation coefficient for binary outcome data
G Zou, A Donner - Biometrics, 2004 - academic.oup.com
… coefficient that may be applied to binary outcome data arising in clusters of variable size.
Our … Simulation results indicate that confidence intervals based on the estimator proposed by …
Our … Simulation results indicate that confidence intervals based on the estimator proposed by …
Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data
… Here, we extend this work to calibration of confidence intervals (CIs). CIs require positive
controls, … the simulated outcomes based on the predicted probabilities of the outcome for each …
controls, … the simulated outcomes based on the predicted probabilities of the outcome for each …
Pulling cost‐effectiveness analysis up by its bootstraps: a non‐parametric approach to confidence interval estimation
… Where patient-specific data on costs and health outcomes are available, it … confidence
intervals. Recent articles have focused on parametric methods for constructing confidence intervals…
intervals. Recent articles have focused on parametric methods for constructing confidence intervals…
Is there a confidence interval for that? A critical examination of null outcome reporting in accounting research
… statistical engagement with the underlying data that give rise to null outcomes is a pathway
for … null outcome reporting articles provide such engagement and how confidence intervals …
for … null outcome reporting articles provide such engagement and how confidence intervals …
[HTML][HTML] A comparison of some approximate confidence intervals for a single proportion for clustered binary outcome data
… for clustered binary data compared to its competitive models. We consider the beta-binomial
model for clustered binary data in order to obtain the PL based confidence interval for π . …
model for clustered binary data in order to obtain the PL based confidence interval for π . …
[HTML][HTML] Using the confidence interval confidently
A Hazra - Journal of thoracic disease, 2017 - ncbi.nlm.nih.gov
… point estimates of the outcome variable in different groups, … CI around the outcome point
estimate for the test drug must … that 95% of the sample data lie within that interval. A CI is not …
estimate for the test drug must … that 95% of the sample data lie within that interval. A CI is not …
… : Statistical significance and clinical significance-A call to consider patient reported outcome measures, effect size, confidence interval and minimal clinically important …
M Fleischmann, B Vaughan - Journal of bodywork and movement therapies, 2019 - Elsevier
… To interpret outcome measure data for clinical decision … the concepts of patient reported
outcome measures (PROMs), … to consider effect size, confidence intervals, and minimal clinically …
outcome measures (PROMs), … to consider effect size, confidence intervals, and minimal clinically …
Use of confidence intervals in interpreting nonstatistically significant results
AT Hawkins, LR Samuels - JAMA, 2021 - jamanetwork.com
… The authors reported a 95% CI for the outcome of interest, the hazard ratio for structural …
with the data are not clinically relevant. Interval B spans values including those in interval A, as …
with the data are not clinically relevant. Interval B spans values including those in interval A, as …
Confidence intervals for cost‐effectiveness ratios: an application of Fieller's theorem
AR Willan, BJ O'Brien - Health economics, 1996 - Wiley Online Library
… This paper presents a procedure for the statistical analysis of cost-effectiveness data, with …
binary outcome. Specifically, Fieller’s Theorem was used to calculate confidence intervals for …
binary outcome. Specifically, Fieller’s Theorem was used to calculate confidence intervals for …
相关搜索
- clustered binary outcome data confidence interval
- confidence intervals effectiveness ratios
- confidence intervals cost effectiveness
- confidence interval methods
- confidence interval estimation
- patient reported outcome measures confidence interval
- confidence intervals paired data
- confidence interval approach data analysis
- confidence intervals interpretation of ecological data
- confidence intervals for intraclass correlation coefficients
- accurate confidence intervals
- approximate confidence intervals outcome data
- comparison of some approximate confidence intervals
- clustered binary outcome data single proportion
- binary outcome data intraclass correlation coefficient