Chun-Yi Lu, Hsing-Chen Tsai, Yhu-Chering Huang, Daniel Tsung-Ning Huang, Ching-Chuan Liu, Li-Min Huang
A National Seroepidemiologic Survey of Pertussis Among School Children in Taiwan
The Pediatric infectious disease journal
selection schemes distort inference estimating differences treatments genetic associations traits may degrade prediction outcomes eg expected performance progeny individual certain genotype input output measurements collected random samples inferences predictions must biased degree paper revisits inference quantitative genetics using samples stemming selection process approach used integrates classical notion fitness missing data treatment fully bayesian inference prediction dealt unified manner focus animal plant breeding concepts apply natural selection well examples based real data stylized models illustrate selection accounted four different situations sometimes without success flexible soft selection setting helps diagnose extent selection ignored clear connection probability missingness concept fitness stylized selection scenarios highlighted realistic assume fixed selection threshold holds conceptual replication chance selection depends observed unobserved data unequal amounts information individuals aspects soft selection representation addresses explicitly seem general prescription accommodate potential distortions due selection structures combine crosssectional longitudinal multitrait data animal breeding balance exception rather rule bayesian approach provides integrated answer inference prediction model choice selection goes beyond likelihoodbased approach breeding values inferred indirectly approach used inference prediction selection may may yield best possible answers one may believe selection accounted diligently central problem whether statistical inferences good bad unambiguous solution hand quality predictions gauged empirically via appropriate trainingtesting competing methods