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Conceptually, the sibling analysis matches exposed and unexposed siblings on family background to identify evidence of unmeasured sources of confounding.
The low risks of hematological malignancies were also noted using sibling analysis.
The discordant sibling analysis adjusts for all factors that were shared within the family.
Moreover, the sibling analysis has lower statistical power than the conventional cohort study design.
We did not observe excess risk in either the general population control comparison (hazard ratio 0.97) or the sibling analysis (hazard ratio 0.78).
All family background covariates parental education, native language, number of children in 1940, five categorical variables for socioeconomic status in 1939, and county of residence in 1939 cancel out in within sibling analysis.
Similar(41)
In early studies, many genes for qualitative traits in crop breeding were studied with morphological and biochemical approaches [10] [13], and those for complex diseases in human genetics were identified by both sibling pair analysis [14] [18] and pedigree analysis [19] [21].
Since the study population was sampled as sibling pairs, analysis of the entire population according to the three genotypes must take into account the possibility that error terms are not independent but are correlated between siblings.
There is no reason to be confident that this is the case, as the within-sibling analysis also removes exogenous variation, which – together with the endogenous variation – determines the inconsistency (Bound and Solon, 1999).
Similar findings were done in the sibling fixed effects analysis.
Results for the full sample and for sibling fixed effects analysis Full sample Sibling fixed effects Coef.
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