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. Author manuscript; available in PMC: 2020 Sep 1.
Published in final edited form as: Epidemiology. 2019 Sep;30(5):768–779. doi: 10.1097/EDE.0000000000001053

Table 1:

Predictors employed when comparing individual-specimen analyses, pooled-specimen analyses with naïve standardization after equal-volume pooling, and pooled-specimen analyses with standardization based on either the just-add-water or unequal-volumes protocols.

Standard-
ization
Causal
Scenarios
Individual-specimen
analysesa
Pooled-specimen analysesb
Naïve standardization Proposed methods
Exposure
Variable,
S
Covariates,
X
Exposure
Variable,
SP
Covariates,
XP
Exposure
Variable,
SP
Covariates,
XP
Creatinine
(covariate-adjusted)
A ZR none KZjCj none ZjRj none
B, B’, C, C’ ZR X KZjCj Xj ZjRj Xj
Total Lipid
(traditional)
D ZC none KZjCj none ZjCj none
E, E’, F, F’ ZC X KZjCj Xj ZjCj Xj

Note: Causal scenarios are defined in Figures 1 and 2 (scenarios with primes (‘) eliminate the causal arrow from X to D in the corresponding un-primed scenarios); notation is defined in the text.

a
Equation fitted in analyses of individual specimens:
Pr[caseS,X]Pr[controlS,X]=exp{μ+βS+αX}
b
Equation fitted in analyses of pooled specimens:
Pr[casesetK,SP,Xp]Pr[controlsetK,SP,Xp]=exp{μK+βSP+αXp+ln(rK)}