Decision Sciences (United States)

Statistical Decision Theory and Bayesian Analysis

Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs1

The process of information technology adoption and use is critical to deriving the benefits of information technology. Yet from a conceptual standpoint, few empirical studies ha...

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...

Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling

Cases of clear scientific misconduct have received significant media attention recently, but less flagrantly questionable research practices may be more prevalent and, ultimatel...

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...

An Integrated Genomic-Based Approach to Individualized Treatment of Patients With Advanced-Stage Ovarian Cancer

Purpose The purpose of this study was to develop an integrated genomic-based approach to personalized treatment of patients with advanced-stage ovarian cancer. We have used gene...

User Response Data: The Potential for Errors and Biases

Surveys that require users to evaluate or make judgments about information systems and their effect on specific work activities can produce misleading results if respondents do ...

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...

Thinking about the future: A cognitive perspective

Abstract The promises and challenges of a cognitive approach to strategic planning and subjective forecasting are examined. Strategic thinking is viewed as comprising three comp...