Figure 3.8a
Figure 3.8b

Figure 3.8a and Figure 3.8b

Title:

(a) Age-dependent sex difference (i.e., the effect of being male) in the log-mean number of drinks consumed during a typical occasion across age. (An effect of 0 indicates no association.) (b) Incidence rate ratio representing age-dependent sex difference in the mean number of drinks consumed during a typical occasion across age. (An effect of 1 indicates no association.)

Syntax:

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Equation:

\ln \left(\lambda_{i}\right)=\beta_{0}(t)+\beta_{1}(t) M A L E_{i}

Notes:

Figure 3.8b shows the same information, but we exponentiated the values shown in Figure 3.8a in Excel so that we can interpret the curve as the age-varying incidence rate ratio.

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Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences

Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences

Authors: Stephanie Lanza and Ashley Linden-Carmichael

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Reprinted by permission from Springer Nature: Generalized Time-Varying Effect Models for Binary and Count Outcomes by Stephanie T. Lanza and Ashley N. Linden-Carmichael, 2021.