Fixed: Bayesian meta-experimental design (SAS). Read more about Fixed: Bayesian meta-experimental design (SAS).
SGPP: spatial Gaussian predictive process models for neuroimaging data. Read more about SGPP: spatial Gaussian predictive process models for neuroimaging data.
Quantifying the average of the time-varying hazard ratio via a class of transformations. Read more about Quantifying the average of the time-varying hazard ratio via a class of transformations.
Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation. Read more about Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation.
A hybrid Bayesian hierarchical model combining cohort and case-control studies for meta-analysis of diagnostic tests: Accounting for partial verification bias. Read more about A hybrid Bayesian hierarchical model combining cohort and case-control studies for meta-analysis of diagnostic tests: Accounting for partial verification bias.
mmeta: An R Package for Multivariate Meta-Analysis. Read more about mmeta: An R Package for Multivariate Meta-Analysis.
Tensor Regression with Applications in Neuroimaging Data Analysis. Read more about Tensor Regression with Applications in Neuroimaging Data Analysis.
Network meta-analysis of randomized clinical trials: reporting the proper summaries. Read more about Network meta-analysis of randomized clinical trials: reporting the proper summaries.
Bayesian sequential meta-analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program. Read more about Bayesian sequential meta-analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program.
Use of historical control data for assessing treatment effects in clinical trials. Read more about Use of historical control data for assessing treatment effects in clinical trials.
