Syringe Sharing in Drug Injecting Dyads: A Cross-Classified Multilevel Analysis of Social Networks
Sign Up to like & getrecommendations! Published in 2018 at "AIDS and Behavior"
DOI: 10.1007/s10461-018-2144-z
Abstract: We examined the association of dyadic-level factors with syringe sharing among people who inject drugs (PWID) in Kerman, Iran. In a cross-sectional study, we collected data on 329 drug-injecting dyads by individual face-to-face interviews. An… read more here.
Keywords: drug injecting; syringe sharing; injecting dyads; cross classified ... See more keywords
Cross-classified models in I/O psychology
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DOI: 10.1016/j.jvb.2020.103447
Abstract: Abstract Cross-classified models accommodate data structures that have more than one cluster variable, which are not nested in each other but overlap. They simultaneously consider all clustering variables. This allows one to study effects on… read more here.
Keywords: research; cross classified; participants raters; classified models ... See more keywords
Cross-classified Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) to evaluate hospital performance: the case of hospital differences in patient survival after acute myocardial infarction
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DOI: 10.1136/bmjopen-2019-036130
Abstract: Objective To describe a novel strategy, Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) to evaluate hospital performance, by analysing differences in 30-day mortality after a first-ever acute myocardial infarction (AMI) in Sweden. Design… read more here.
Keywords: evaluate hospital; multilevel analysis; analysis; hospital ... See more keywords
The Impact of Ignoring a Crossed Factor in Cross-Classified Multilevel Modeling
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DOI: 10.3389/fpsyg.2021.637645
Abstract: The present study investigated estimate biases in cross-classified random effect modeling (CCREM) and hierarchical linear modeling (HLM) when ignoring a crossed factor in CCREM considering the impact of the feeder and the magnitude of coefficients.… read more here.
Keywords: ignoring crossed; factor cross; crossed factor; cross classified ... See more keywords