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Medical Hypotheses, 1980
Survival times of treated cancer patients are distributed lognormally. This density function exhibits a peak accompanied by a long tail which asymptotically approaches the abscissa. The lognormal conditional failure rate, known also as force of mortality, which describes the chances of a patient remaining alive, initially climbs, to decline at a later ...
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Survival times of treated cancer patients are distributed lognormally. This density function exhibits a peak accompanied by a long tail which asymptotically approaches the abscissa. The lognormal conditional failure rate, known also as force of mortality, which describes the chances of a patient remaining alive, initially climbs, to decline at a later ...
openaire +2 more sources
Factors influencing risk-based care of the childhood cancer survivor in the 21st century
Ca-A Cancer Journal for Clinicians, 2018Israel Fernandez-Pineda +2 more
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A blueprint for the primary prevention of cancer: Targeting established, modifiable risk factors
Ca-A Cancer Journal for Clinicians, 2018Alpa Patel +2 more
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Opportunities and strategies for breast cancer prevention through risk reduction†‡
Ca-A Cancer Journal for Clinicians, 2008Therese Bevers +2 more
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Cancer Risk Elicitation and Communication: Lessons from the Psychology of Risk Perception†
Ca-A Cancer Journal for Clinicians, 2007William M P Klein, Michael E Stefanek
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