2021
DOI: 10.6339/jds.2013.11(4).1195
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Modeling Correlated Binary Outcomes with Time-Dependent Covariates

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Cited by 20 publications
(10 citation statements)
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“…Our study design includes repeated observations within subjects as each subject rated helpfulness of multiple reviews. GEE is a suitable method for modeling clustered data as it accounts for the correlation among multiple observations by a single subject (Lalonde et al ., 2013). Equation (1) indicates our GEE model where π ijk is the probability that subject I classifies review j about hotel k as helpful (1) versus not helpful (0):where Cnc – concreteness of review j of hotel chain k ; Spl – spelling error count of review j of hotel chain k ; Grm – grammar error count of review j of hotel chain k ; Crd – subject i' s perceived credibility of review j about hotel k ; Neu – subject i' s score on neuroticism; Ext – subject i' s score on extraversion; Gen – subject i 's gender; Education – subject i's education level; Age – subject i' s age and Prior Familiarity – familiarity of subject I with hotel chain k. …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our study design includes repeated observations within subjects as each subject rated helpfulness of multiple reviews. GEE is a suitable method for modeling clustered data as it accounts for the correlation among multiple observations by a single subject (Lalonde et al ., 2013). Equation (1) indicates our GEE model where π ijk is the probability that subject I classifies review j about hotel k as helpful (1) versus not helpful (0):where Cnc – concreteness of review j of hotel chain k ; Spl – spelling error count of review j of hotel chain k ; Grm – grammar error count of review j of hotel chain k ; Crd – subject i' s perceived credibility of review j about hotel k ; Neu – subject i' s score on neuroticism; Ext – subject i' s score on extraversion; Gen – subject i 's gender; Education – subject i's education level; Age – subject i' s age and Prior Familiarity – familiarity of subject I with hotel chain k. …”
Section: Methodsmentioning
confidence: 99%
“…Our study design includes repeated observations within subjects as each subject rated helpfulness of multiple reviews. GEE is a suitable method for modeling clustered data as it accounts for the correlation among multiple observations by a single subject (Lalonde et al, 2013). Equation ( 1) indicates our GEE model where π ijk is the probability that subject I classifies review j about hotel k as helpful (1) versus not helpful (0):…”
Section: Modeling Approachmentioning
confidence: 99%
“…A linear mixed model analysis was used to assess the correlation between the measured indices and subjective rating scores from participants for each stage, which considered the within-subject correlation effect due to repeated measurements within participants. Since the independent variables of interest, SpO 2 , pCO 2 , heart rate, EEI, temperature, and humidity in the mask were time-dependent covariates that could change at each measurement point, the intra-individual and inter-individual effects were separated for analyses [ 24 ].…”
Section: Methodsmentioning
confidence: 99%
“…Pinpointing the probability distribution that the research data follow is critical for analyses that are sensitive to the distribution. 12 A normal distribution ( figure 2A ), gamma distribution with rate parameters 1 ( figure 2B ), 2 ( figure 2C ) and 4 ( figure 2E ) had a lack of fit of the data as compared with Gamma distribution with the rate parameter 3 ( figure 2D ). Thus, as the outcome of interest birth interval was a discrete variable, a discrete gamma regression model was employed.…”
Section: Methodsmentioning
confidence: 96%
“… 11 The within-subject correlations among the repeated measures are taken into account by using a working correlation structure and employing that structure for the parameter estimations. 12 Due to the marginal mean function, GEE does not make any full distributional assumptions. 14 15 The SAS software provides two procedures that enable to performance of GEE analysis.…”
Section: Methodsmentioning
confidence: 99%