Browsing by Author "Oga, Emmanuel"

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    Pitfalls of practicing cancer epidemiology in resource-limited settings: the case of survival and loss to follow-up after a diagnosis of Kaposi’s sarcoma in five countries across sub-Saharan Africa.
    (BMC, 2016) Freeman, Esther; Semeere, Aggrey; Wenger, Megan; Bwana, Mwebesa; Asirwa, F. Chite; Busakhala, Naftali; Oga, Emmanuel; Jedy-Agba, Elima; Kwaghe, Vivian; Iregbu, Kenneth; Jaquet, Antoine; Dabis, Francois; Yumo, Habakkuk Azinyui; Dusingize, Jean Claude; Bangsberg, David; Anastos, Kathryn; Phiri, Sam; Bohlius, Julia; Egger, Matthias; Yiannoutsos, Constantin; Wools-Kaloustian, Kara; Martin, Jeffrey; Department of Biostatistics, Fairbanks School of Public Health
    Survival after diagnosis is a fundamental concern in cancer epidemiology. In resource-rich settings, ambient clinical databases, municipal data and cancer registries make survival estimation in real-world populations relatively straightforward. In resource-poor settings, given the deficiencies in a variety of health-related data systems, it is less clear how well we can determine cancer survival from ambient data.