Now showing items 1-6 of 6

    • Access to care issues adversely affect breast cancer patients in Mexico: oncologists’ perspective 

      Chavarri-Guerra, Yanin; St Louis, Jessica; Liedke, Pedro ER; Symecko, Heather; Villarreal-Garza, Cynthia; Mohar, Alejandro; Finkelstein, Dianne M; Goss, Paul E (BioMed Central, 2014)
      Background: Despite recently implemented access to care programs, Mexican breast cancer (BC) mortality rates remain substantially above those in the US. We conducted a survey among Mexican Oncologists to determine whether ...
    • Epidermal Growth Factor Gene Functional Polymorphism and the Risk of Hepatocellular Carcinoma in Patients With Cirrhosis 

      Tanabe, Kenneth Kenji; Lemoine, Antoinette; Finkelstein, Dianne Madelyn; Kawasaki, Hiroshi; Fujii, Tsutomu; Chung, Raymond Taeyong; Lauwers, Gregory Y.; Kulu, Yakup; Muzikansky, Alona; Kuruppu, Darshini; Lanuti, Michael; Goodwin, Jonathan M.; Azoulay, Daniel; Fuchs, Bryan C. (American Medical Association (AMA), 2008)
      Context: Overexpression of epidermal growth factor (EGF) in the liver induces transformation to hepatocellular carcinoma in animal models. Polymorphisms in the EGF gene modulate EGF levels. Objective: To assess the ...
    • Mucin-Producing Neoplasms of the Pancreas: An Analysis of Distinguishing Clinical and Epidemiologic Characteristics 

      Crippa, Stefano; Fernández–del Castillo, Carlos; Salvia, Roberto; Finkelstein, Dianne Madelyn; Bassi, Claudio; Domínguez, Ismael; Muzikansky, Alona; Thayer, Sarah P.; Falconi, Massimo; Mino–Kenudson, Mari; Capelli, Paola; Lauwers, Gregory Y.; Partelli, Stefano; Pederzoli, Paolo; Warshaw, Andrew Louis (Elsevier BV, 2010)
      Background & Aims: Mucin-producing neoplasms (MPNs) of the pancreas include mucinous cystic neoplasms (MCNs) and main-duct, branch-duct, and combined intraductal papillary mucinous neoplasms (IPMNs). MCNs and branch-duct ...
    • Outcome-Driven Cluster Analysis with Application to Microarray Data 

      Hsu, Jessie J.; Finkelstein, Dianne M.; Schoenfeld, David A. (Public Library of Science, 2015)
      One goal of cluster analysis is to sort characteristics into groups (clusters) so that those in the same group are more highly correlated to each other than they are to those in other groups. An example is the search for ...
    • Outcome-Driven Clustering of Microarray Data 

      Hsu, Jessie (2012-09-17)
      The rapid technological development of high-throughput genomics has given rise to complex high-dimensional microarray datasets. One strategy for reducing the dimensionality of microarray experiments is to carry out a cluster ...
    • Rank-Based Methods for Survival Data With Multiple Outcomes 

      Ramchandani, Ritesh (2015-08-27)
      In clinical studies of survival, additional endpoints on patients may be collected over the course of the study that give additional insight into a treatment's effect. We propose three methods to analyze right censored ...