2008
DOI: 10.2143/ast.38.2.2033352
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Sampling Distributions of Critical Illness Insurance Premium Rates: Breast and Ovarian Cancer

Abstract: Evaluating the risk of disorders in long-term insurance often relies on rates of onset estimated from quite small epidemiological studies. These estimates can carry considerable uncertainty, hence so may functions of them, such as a premium rate. In the case of genetic disorders, where it may be required to demonstrate the reliability of genetic information as a risk factor, such uncertainty may be material. Epidemiological studies publish their results in a variety of forms and it is rarely easy to estimate t… Show more

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Cited by 1 publication
(1 citation statement)
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“…We would expect GAIC to require, as a minimum, that premium rate estimates should be unbiased, and be reliably distinct for different genotypes. Lu, Macdonald & Waters (2008) and Lu, Macdonald & Wekwete (2008) studied the dispersion of critical illness (CI) insurance premium rate estimates. They used rates of disease onset derived from survival analyses of family histories, assuming these rates to be unbiased estimates.…”
Section: Survival Analysis On Pedigreesmentioning
confidence: 99%
“…We would expect GAIC to require, as a minimum, that premium rate estimates should be unbiased, and be reliably distinct for different genotypes. Lu, Macdonald & Waters (2008) and Lu, Macdonald & Wekwete (2008) studied the dispersion of critical illness (CI) insurance premium rate estimates. They used rates of disease onset derived from survival analyses of family histories, assuming these rates to be unbiased estimates.…”
Section: Survival Analysis On Pedigreesmentioning
confidence: 99%