PubMed · 5642801
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W Bock. 1968. Our current creative teaching project.. https://pubmed.ncbi.nlm.nih.gov/5642801/
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OBJECTIVES: To estimate the impact of mandated choice--a system that requires competent adults to decide prospectively whether or not they wish to be organ donors when they die--on public commitment to organ donation; and to explore who is best suited to provide consent--the family or the individual? DESIGN: A national, random-digit telephone survey conducted by the Gallup Organization in July 1993. PARTICIPANTS: A representative sample (n = 1002) of adults (aged 18 years and older) living in homes with telephones in the continental United States. RESULTS: Although the majority of respondents had given at least some thought to organ donation, only 25% had carefully considered this issue. Overall, 30% had decided to donate, but 58% were undecided and only 38% had made their wishes known to a family member. Yet the vast majority (82%) believes that the best way to obtain consent is for each adult to decide for himself or herself, rather than leaving this decision for the family. Under mandated choice, which is designed to encourage such self-determination, 63% would sign up to donate, 24% would not, and 13% were unsure. CONCLUSIONS: Only a small fraction of the US public is currently committed to organ donation and relatively few people have carefully considered and communicated their wishes regarding this important issue. Therefore, the difficult question of consent is often left for the family. Yet most people believe that ideally all adults should answer this question for themselves, in contrast to our present family-oriented approach, but consistent with the design of mandated choice. If mandated choice became law, it appears that most adults would sign up to donate, thereby increasing the pool of desperately needed committed donors.
In genetic analysis it is often of interest to analyze associations between traits of unknown genetic etiology and genetic markers from pedigree data. Statistical methods that assume independence of pedigree members cannot be used because they disregard the statistical dependencies of members in a pedigree. For quantitative traits, a regression model proposed by George and Elston [Genet Epidemiol 4:193-201, 1987] uses an asymptotic likelihood ratio test and incorporates a correlation structure that allows for statistical dependence among the pedigree members. The statistical validity of this test is assessed for finite samples by measuring the discrepancy between the empirical and theoretical chi-square distributions. The variance of the mean of the dependent variable is determined to be related to this discrepancy and can be used to determine whether a pedigree structure is large enough for making valid statistical inferences on the basis of the asymptotic test. A multi-generational pedigree of 200 or so individuals should in many cases be sufficient for valid results when using the asymptotic likelihood ratio test for the association between markers and continuous traits.