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As the CLEAR study population is older than the CARE-HF population, assumptions relative to mortality for the NSO arm refer to long-term CARE-HF clinical data for patients above 66 years [20].
The use of summary IBS in SNPduo++ and single-point IBS calculations in SNPduo avoids these population assumptions.
Fisher (1918) showed how pairwise genetic interactions influence the covariance between relatives under these population assumptions.
Additional uncertainties about the exposure assessment arise from the time activity estimates and population assumptions.
Modified population assumptions were tested in the scenarios 2 6; 95% HPD (highest probability density) intervals are listed.
While we used the best available methodology for calibration, our calibration corrections remain dependant on population assumptions.
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Our results show that the violation of the stationary population assumption of the classical life table method has strong consequences for the accuracy of life expectancy estimates.
The simplest population-genetic models assume random mating, non-overlapping generations, infinite population size, perfect Mendelian segregation, frequency-independent genotype fitnesses, and the absence of stochastic effects; it is very unlikely (and in the case of the infinite population assumption, impossible) that any of these assumptions hold true of any actual biological population.
Analyses addressing the closed population assumption support our population estimates.
For the second group the viable population assumption becomes risky, as these species are rare and usually have limited tolerance to environmental changes.
In addition, multi-state life tables implicitly impose a stationary population assumption by not independently modelling population time and age.
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