15 citations · 40 across the 5 of their papers we have counts for
8 papers
MOVER confidence intervals for a difference or ratio effect parameter under stratified sampling
Yongqiang Tang
Stratification is commonly employed in clinical trials to reduce the chance covariate imbalances and increase the precision of the treatment effect estimate. We propose a general f…
Sample size calculation for the Andersen-Gill model comparing rates of recurrent events
Yongqiang Tang, Ronan Fitzpatrick
Recurrent events arise frequently in biomedical research, where the subject may experience the same type of events more than once. The Andersen-Gill (AG) model has become increasin…
An improved sample size calculation method for score tests in generalized linear models
Yongqiang Tang, Liang Zhu, Jiezhun Gu
Self and Mauritsen (1988) developed a sample size determination procedure for score tests in generalized linear models under contiguous alternatives. Its performance may deteriorat…
Notes on Exact Power Calculations for t Tests and Analysis of Covariance
Yongqiang Tang
Tang derived the exact power formulae for t tests and analysis of covariance (ANCOVA) in superiority, noninferiority and equivalence trials. The power calculation in equivalence tr…
A monotone data augmentation algorithm for longitudinal data analysis via multivariate skew-t, skew-normal or t distributions
Yongqiang Tang
The mixed effects model for repeated measures (MMRM) has been widely used for the analysis of longitudinal clinical data collected at a number of fixed time points. We propose a ro…
A monotone data augmentation algorithm for multivariate nonnormal data: with applications to controlled imputations for longitudinal trials
Yongqiang Tang
An efficient monotone data augmentation (MDA) algorithm is proposed for missing data imputation for incomplete multivariate nonnormal data that may contain variables of different t…