Ovarian Cancer
Researchers develop a prognostic model in the presence of missing data
Published in Cancer Weekly, April 15th, 2003
According to recent research from England, "When developing prognostic models in medicine, covariate data are often missing and the standard response is to exclude those individuals whose data are incomplete from the analyses.
"This practice leads to a reduction in the statistical power, and may lead to biased results. We wished to develop a prognostic model for overall survival from 1,189 primary cases (842 deaths) of epithelial ovarian cancer," wrote T.G. Clark and colleagues, Oxford University, Institute of Health Sciences.
"A complete...
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Source: Cancer Weekly (2003-04-15)
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