Table 1.

Analysis of CPP Substudy Data Including 164 Individual and 251 Pooled MCP1 Assays ^a.

Model	$\widehat{\text{β}}*$	${\widehat{\text{σ}}}^2$	${\widehat{\text{σ}}}_{\text{m}}^2$	${\widehat{\text{σ}}}_{\text{p}}^2$	$\text{ln}{(\widehat{\text{OR}})}_{\text{ml}}$	$\text{ln}{(\widehat{\text{OR}})}_{\text{adj}}$ e	AIC
ME and PE b	0.031 (0.026)	--	--	--	--	--	--
ME only	0.032 (0.025)	0.102	0.001 c	--	0.311 (0.25) [−0.17, 0.80]	0.310 (0.25) [−0.17, 0.79]	420.64
PE only	0.031 (0.026)	0.079	--	0.078	0.388 (0.32) [−0.25, 1.02]	0.383 (0.32) [−0.25, 1.01]	412.82
Neither ME nor PE	0.032 (0.025)	0.103	--	--	0.309 (0.25) [−0.17, 0.79]	0.308 (0.24) [−0.17, 0.79]	418.46
Logistic regression d	--	--	--	--	0.270 (0.24) [−0.20, 0.74]	--	--

^a Numbers in parentheses () are estimated standard errors; 95% CIs are in brackets []; ^b Model fails to identify σ² due to design limitations (k_i = 1,2 only); ^c ${\widehat{\text{σ}}}_{\text{m}}^2$ hits boundary constraint of 0.001; ^d Based on Weinberg-Umbach poolwise model (Section 2.2), not accounting for ME or PE; ^e Estimates and standard errors adjusted as proposed in Section 2.4.