Add to ORKGWe develop several methods for estimating the treatment effect difference defined as the overall log-odds ratio of favourable response in a multicentre clinical trial comparing two treatments with binary response. A simulation study compares the bias and mean squared error of the point estimates and the exact coverage probabilities of confidence intervals obtained distributions
Abstract Background Estimates of relative efficacy between alternative treatments are crucial for de...
The process of undertaking a meta-analysis involves a sequence of decisions, one of which is decidin...
Bibliography: pages 64-65.This thesis addresses the analysis of binary data for two cases of the two...
Statement of the problem. Results from multi-center randomized, observational, and cross-sectional s...
The presence of some missing outcomes in randomized studies often complicates the estimation of meas...
Abstract Background Reporting of absolute risk difference (RD) is recommended for clinical and epide...
This article gives an overview of sample size calculations for a single response and a comparison of...
© 2017 American Statistical Association. In linear regression models, covariate-adjusted analysis is...
The use of continuous data versus binary data in MTC models: A case study in rheumatoid arthritis Su...
The standard analysis of clinical trials stratified by centre is to include centres as fixed effects...
It is increasingly common in clinical trials to design studies for which more than one primary outco...
Meta-analysis is a statistical methodology that combines the outcomes of several independent studies...
The treatment effect of a therapeutic product on a binary endpoint is often expressed as the differe...
Background: Chance imbalance in baseline prognosis of a randomized controlled trial can lead to over...
peer-reviewedEstimates of relative efficacy between alternative treatments are crucial for decision ...
Abstract Background Estimates of relative efficacy between alternative treatments are crucial for de...
The process of undertaking a meta-analysis involves a sequence of decisions, one of which is decidin...
Bibliography: pages 64-65.This thesis addresses the analysis of binary data for two cases of the two...
Statement of the problem. Results from multi-center randomized, observational, and cross-sectional s...
The presence of some missing outcomes in randomized studies often complicates the estimation of meas...
Abstract Background Reporting of absolute risk difference (RD) is recommended for clinical and epide...
This article gives an overview of sample size calculations for a single response and a comparison of...
© 2017 American Statistical Association. In linear regression models, covariate-adjusted analysis is...
The use of continuous data versus binary data in MTC models: A case study in rheumatoid arthritis Su...
The standard analysis of clinical trials stratified by centre is to include centres as fixed effects...
It is increasingly common in clinical trials to design studies for which more than one primary outco...
Meta-analysis is a statistical methodology that combines the outcomes of several independent studies...
The treatment effect of a therapeutic product on a binary endpoint is often expressed as the differe...
Background: Chance imbalance in baseline prognosis of a randomized controlled trial can lead to over...
peer-reviewedEstimates of relative efficacy between alternative treatments are crucial for decision ...
Abstract Background Estimates of relative efficacy between alternative treatments are crucial for de...
The process of undertaking a meta-analysis involves a sequence of decisions, one of which is decidin...
Bibliography: pages 64-65.This thesis addresses the analysis of binary data for two cases of the two...