2006
DOI: 10.1016/j.jclinepi.2005.10.010
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Multilevel modeling was a convenient alternative to common regression designs in longitudinal suicide research

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Cited by 11 publications
(6 citation statements)
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References 73 publications
(255 reference statements)
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“…A close inspection of the SIS items of the 'objective part' suggests that the meaning of some of the items is somehow ambiguous if the heterogeneity of motives or intentions of the non-fatal suicidal act is accounted for (Hjelmeland et al, 2002a;Hjelmeland et al, 2002b;Chopin et al, 2004;Hjelmeland and Hawton, 2004;Antretter et al, 2006;Conner et al, 2007). For example, in SIS item 4 ('Action to gain help after the attempt') the most severe item score indicates that a patient did not contact or notify a helper after the non-fatal suicidal act.…”
Section: Discussionmentioning
confidence: 99%
“…A close inspection of the SIS items of the 'objective part' suggests that the meaning of some of the items is somehow ambiguous if the heterogeneity of motives or intentions of the non-fatal suicidal act is accounted for (Hjelmeland et al, 2002a;Hjelmeland et al, 2002b;Chopin et al, 2004;Hjelmeland and Hawton, 2004;Antretter et al, 2006;Conner et al, 2007). For example, in SIS item 4 ('Action to gain help after the attempt') the most severe item score indicates that a patient did not contact or notify a helper after the non-fatal suicidal act.…”
Section: Discussionmentioning
confidence: 99%
“…HLM is often used to study the relationship between community level factors and individual outcomes in health outcomes. Because our data were hierarchically organized and all air pollutant data were nested within different geographic areas, the associations between air pollutant exposure levels and childhood neurodevelopment were assessed via multilevel modeling analysis [23]. …”
Section: Methodsmentioning
confidence: 99%
“…Moreover, MLM models address several common methodological limitations of longitudinal designs. For example, MLMs account for the correlation of individual observations and high variability among participants (Antretter et al, 2006;Tabachnick & Fidell, 2007). Also, unlike traditional regression models, MLM techniques do not involve the use of change scores, which are controversial due to many factors, such as regression to the mean and ceiling and floor effects (Vickers & Altman, 2001).…”
Section: Statistical Proceduresmentioning
confidence: 99%