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Table 1 The comparison of different analysis approaches

From: Change analysis for intermediate disease markers in nutritional epidemiology: a causal inference perspective

Approaches

Model

Estimand

Ability to solve unobserved time-invariant confounding

Concurrent change-change analysis

\({\varDelta Y}_{1}=\widehat{\alpha }+\widehat{\beta }{\varDelta X}_{1}+\widehat{\gamma }{\varDelta Z}_{1}\)

Concurrent effect

Yes

Change-score analysis

\({\varDelta Y}_{1}={\widehat{\alpha }}^{*}+{\widehat{\beta }}^{*}{X}_{0}+{\widehat{\gamma }}^{*}{Z}_{0}\)

One-period lagged effect

No

Lagged change-change analysis

\({\varDelta Y}_{2}={\widehat{\alpha }}^{**}+{\widehat{\beta }}^{**}{\varDelta X}_{1}+{\widehat{\gamma }}^{**}{\varDelta Z}_{1}\)

One-period lagged effect

Yes