Multivariate network-level approach to detect interactions between large-scale functional systems. Read more about Multivariate network-level approach to detect interactions between large-scale functional systems.
Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior. Read more about Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior.
Comparative effectiveness of oxaliplatin vs non-oxaliplatin-containing adjuvant chemotherapy for stage III colon cancer. Read more about Comparative effectiveness of oxaliplatin vs non-oxaliplatin-containing adjuvant chemotherapy for stage III colon cancer.
Multicategory reclassification statistics for assessing improvements in diagnostic accuracy. Read more about Multicategory reclassification statistics for assessing improvements in diagnostic accuracy.
Bayesian modeling and inference for clinical trials with partial retrieved data following dropout. Read more about Bayesian modeling and inference for clinical trials with partial retrieved data following dropout.
A global sensitivity test for evaluating statistical hypotheses with nonidentifiable models. Read more about A global sensitivity test for evaluating statistical hypotheses with nonidentifiable models.
Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study. Read more about Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study.
Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690. Read more about Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690.
Missing data in clinical studies: issues and methods. Read more about Missing data in clinical studies: issues and methods.
Assessing the dependence of sensitivity and specificity on prevalence in meta-analysis. Read more about Assessing the dependence of sensitivity and specificity on prevalence in meta-analysis.
