Interpreting Survival Data: Lessons from Stephen Jay Gould

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There is a difficult balance between the explanations and statistical correctness explanations of survival data that is understood by many medically ill patients. Although such circumstances can be very tough to deal with, the late Stephen Jay Gould who better translated the ways median characteristics alter our interpretation of messages. Gould was biologist who illustrated about his median statistical life expectancy following his diagnosis with a fatal tumor abdominal mesothelioma. The prognosis determined he had the median mortality totaling eight months (Gould 1985). Nevertheless, Gould didn’t allow his diagnosis to be the main determinant of its outcome. As a biologist and a person with training in statistics, Gould knew that a median is simply a variation of the hard reality rather than imperfect measure for a central tendency (Gould 1985). Gould used individual variabilities to analyze and determine the way in which an individual should appreciate and understand …show more content…

What can be an accurate way of determining likelihoods would be understanding data skews and analyzing distribution spreads. A Median should never be used when attempting to predict the overall probability of an outcome. If someone were to ever find themselves in a similar situation as Gould’s condition, my best suggested option to the delivery of terminal news to patients by physicians would be that they provide un biased misguided diagnosis based on the median outcome of that condition. They should present statistical research filled with data distribution on survival rates based on how early the condition was diagnosed and how healthy a lifestyle that patient has been able to maintain up until that point. Human beings do not have an expiration date but survivor based on skews of data influenced by lifestyle, health, age and

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