Decision Sciences (United States)

Statistical Decision Theory and Bayesian Analysis

Application of Model-Selection Criteria to Some Problems in Multivariate Analysis

A review of model-selection criteria is presented, with a view toward showing their similarities. It is suggested that some problems treated by sequences of hypothesis tests may...

Predicting the clinical status of human breast cancer by using gene expression profiles

Prognostic and predictive factors are indispensable tools in the treatment of patients with neoplastic disease. For the most part, such factors rely on a few specific cell surfa...

Patients, privacy and trust: Patients’ willingness to allow researchers to access their medical records

Choosing the analysis population in non-inferiority studies: per protocol or intent-to-treat

For superiority trials, the intent-to-treat population (ITT) is considered the primary analysis population because it tends to avoid the over-optimistic estimates of efficacy th...

A Probabilistic Decision Model for Entity Matching in Heterogeneous Databases

In recent years, there has been a proliferation of database systems in all types of organizations. In many cases, these databases are developed in different departments and main...