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The details on the research setting and procedures of data analysis are outlined in the Appendix.
Details on how we computed Social Security wealth for each household are outlined in the Appendix, along with mean values of estimated Social Security wealth over the different household types.
The CSS, FSS, BYM, and MLE spatial focused cluster detection methods are outlined in the Appendix.
The procedures followed in conducting a study into the relationship between air pollution and health, taking all reports on CCO design methodology and application into account, are outlined in the Appendix.
Sample size calculations for the number of subjects needed in a hypothetical clinical trial of measuring a meaningful drug effect (i.e. slowing of rates of hippocampal loss or change in ADAS-Cog scores) between a treated and placebo group are outlined in the appendix.
Five approaches are outlined in the Appendix, and the results of their partitioning breeding values, the corresponding calculation of variances and covariances, and the derivation of covariances between relatives are shown in Tables 2– 4. In the absence of imprinting, all of these approaches give identical breeding values, variance components, and covariances between relatives.
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The complete algorithm is outlined in the Appendix.
One possible scheme is outlined in the Appendix.
The complete search strategy is outlined in the Appendix.
Our reasoning for choosing truncation selection 10 as a reference point is outlined in the Appendix.
A detailed explanation of the theoretical aspects and sensitivity tests we performed to reasonably exclude the possibility of relevant uncontrolled secular trends is outlined in the appendix.
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