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We also outline selection of appropriate proxy outcome measures for detecting response to treatment and collection of ancillary data, such as diet and substance use, that are critical for interpretation of results.
For instance, we can be pretty confident that cessation of smoking among pregnant women (a proximal and proxy outcome) will be linked to a future reduction in cancer among the mothers and increases in birthweight among babies.
Instead investigators opt for proxy outcome measures.
The criteria for a proxy outcome are (i) the exposure of interest is not a cause for the proxy outcome and (ii) causes of the proxy outcome and the main outcome are subsets of a pool of correlated variables [ 17].
A proxy outcome should satisfy the following conditions: (i) the exposure of interest is not a cause for the proxy outcome; and (ii) causes of the proxy outcome and the main outcome are subsets of a collection of correlated variables.
A proxy outcome possesses the following characteristics: (i) the exposure of interest is not a cause for the proxy outcome; (ii) causes of the proxy outcome and the study outcome are subsets of a collection of correlated variables.
The proposed approach introduces a proxy outcome into the estimation system.
Thus, LDA is considered as a proxy outcome for a 'responder'responder
This is why we look at more proxy outcome measures for health outcomes.
The proxy outcome used in this study was driving without wearing a seatbelt at all times.
We then applied the proxy outcome method as the only means of adjusting for potential confounding effects.
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