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Table 1 Overview of the most relevant parameters and their interpretation

From: Studying dietary intake in daily life through multilevel two-part modelling: a novel analytical approach and its practical application

Parameter

Description

Interpretation

Zero part

 β00

overall intercept

mean of the log-odds of no eating across all participants when all predictors are equal to 0

 β01

fixed effect of L1predictor

expected change in log-odds of no eating for a one-unit increase in L1predictor

 β02

fixed effect of L2predictor

expected change in log-odds of no eating for a one-unit increase in L2predictor

 u01j

random effect of L1predictor in person j

person-specific differences in the effect of L1predictor on the log-odds of no eating

 u0j

random intercept of person j

person-specific differences in the log-odds of no eating

 \(\sqrt{{{\sigma }^{2}}_{{u}_{0}}}\)

standard deviation of the random intercept u0

variation of between-person differences in the log-odds of no eating

 \(\sqrt{{{\sigma }^{2}}_{{u}_{01}}}\)

standard deviation of the random effect u01

variation of between-person differences in the effect of L1predictor on the log-odds of no eating

Continuous part

 β10

overall intercept

mean of the (log) amount consumed across all participants when all predictors are equal to 0 given that dietary intake occurred

 β11

fixed effect of L1predictor

expected change in the (log) amount consumed for a one-unit increase in L1predictor

 β12

fixed effect of L2predictor

expected change in the (log) amount consumed for a one-unit increase in L2predictor

 u11j

random effect of L1predictor in person j

person-specific differences in the effects of L1predictor on the (log) amount consumed

 u1j

random intercept of person j

person-specific differences in the (log) amount consumed

 \(\sqrt{{{\sigma }^{2}}_{{u}_{1}}}\)

standard deviation of the random intercept u1

variation of between-person differences in the expected (log) amount consumed

 \(\sqrt{{{\sigma }^{2}}_{{u}_{11}}}\)

standard deviation of the random effect u11

variation of between-person differences in the effect of L1predictor on the expected (log) amount consumed

Cross-part correlation

 \({\rho }_{{u}_{0}{u}_{1}}\)

correlation between the random intercepts u0 and u1 of the zero and continuous part

correlation between the person-specific differences in the log-odds of no eating and the person-specific difference in the (log) amount consumed