Table 5.

Bayesian Kernel Machine Regression (BKMR) variable selection results of maternal POP serum concentrations and child reading skills at age 8 years

Chemical	Posterior Inclusion Probabilities (PIP) Component-wise variable selectiona	Posterior Inclusion Probabilities Hierarchical variable selection
		Group PIP	Conditional PIP
Log10 PBDEs
BDE-28	0.330	0.845	0.111
BDE-47	0.368	0.845	0.125
BDE-99	0.316	0.845	0.068
BDE-100	0.360	0.845	0.212
BDE-153	0.504	0.845	0.485
Log10 PCBs
CB-74	0.253	0.668	0.194
CB-99	0.253	0.668	0.092
CB-118	0.422	0.668	0.272
CB-138_158	0.221	0.668	0.065
CB-153	0.375	0.668	0.207
CB-180	0.331	0.668	0.170
Log10 P,P’-DDE	0.216	0.488	0.473
Log10 P,P’-DDT	0.255	0.488	0.527
Log10 PFAS
PFOS	0.311	0.929	0.051
PFOA	0.543	0.929	0.394
PFHxS	0.172	0.929	0.023
PFNA	0.679	0.929	0.532

Adjusted for maternal age, race, education, household income, marital status, depression, serum cotinine, blood lead, fish consumption, IQ, and child sex and HOME score

^aShaded PIPs indicate chemicals included in the reduced BKMR model