The main goal of biosurveillance is the early detection of disease outbreaks. Advances in technology have allowed the collection, transfer, and storage of pre-diagnostic information in addition to traditional diagnostic data. Such data carry the potential of an earlier outbreak signature. In...

The current kidney allocation system in the United States fails to match donors and recipients well. In an effort to improve the allocation system, the United Network of Organ Sharing (UNOS) defined factors that should determine a new allocation policy, and particularly patients' potential...

Creating a loyal customer base is one of the most important, and at the same time, most difficult tasks a company faces. Creating loyalty online (e-loyalty) is especially difficult since customers can "switch" to a competitor with the click of a mouse. In this paper we investigate e-loyalty in...

Censored count data are encountered in many applications, often due to a data collection mechanism that introduces censoring. A common example is questionnaires with question answers of the type 0,1,2,3. We consider the problem of predicting a censored output variable Y, given a set of complete...

Empirical research in Information Systems (IS) is dominated by the use of explanatory statistical models for testing causal hypotheses, and by a focus on explanatory power. Predictive statistical models, which are aimed at predicting out-of-sample observations with high accuracy, are rare, and...

The Internet presents great opportunities for research about information technology, allowing IS researchers to collect very large and rich datasets. It is common to see research papers with tens or even hundreds of thousands of data points, especially when reading about electronic commerce....

The public availability of large eCommerce datasets from websites such as Amazon.com and eBay.com, coupled with technological advancements in collecting, storing, and manipulating large datasets has lead to a growing number of studies that apply statistical models to large samples for the...

Empirical research of online auctions has dramatically grown in recent years. Studies using publicly available bid data from websites such as eBay.com have found many divergences of bidding behavior and auction outcomes compared to ordinary offline auctions and auction theory. Among the main...

Semi-continuous data arise in many applications where naturally-continuous data become contaminated by the data generating mechanism. The resulting data contain several values that are too frequent, and in that sense are a hybrid between discrete and continuous data. The main problem is that...