Publications by authors named "G W Chodak"

Web server logs have been extensively used as a source of data on the characteristics of Web traffic and users' navigational patterns. In particular, Web bot detection and online purchase prediction using methods from artificial intelligence (AI) are currently key areas of research. However, in reality, it is hard to obtain logs from actual online stores and there is no common dataset that can be used across different studies.

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Prostate cancer survivors approach 2.8 million in number and represent 1 in 5 of all cancer survivors in the United States. While guidelines exist for timely treatment and surveillance for recurrent disease, there is limited availability of guidelines that facilitate the provision of posttreatment clinical follow-up care to address the myriad of long-term and late effects that survivors may face.

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Objective: To explore the prognostic and predictive value of baseline variables in 512 patients with metastatic castration-resistant prostate cancer from the phase III Immunotherapy for Prostate Adenocarcinoma Treatment (IMPACT) trial who were randomized to receive sipuleucel-T or control.

Methods: The most powerful of these prognostic factors, baseline prostate-specific antigen (PSA), was subdivided into quartiles to evaluate treatment effect patterns. Cox regression analyses were used to assess predictors of overall survival (OS) and sipuleucel-T treatment effect within PSA quartiles.

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