Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kimberly L. Fine"'
Publikováno v:
Nutrients, Vol 11, Iss 9, p 1996 (2019)
College students and their friends become more similar in weight status over time. However, it is unclear which mediators explain this relationship. Using validated survey measures of diet, physical activity, alcohol intake, sleep behaviors, mental h
Externí odkaz:
https://doaj.org/article/60396b0c286b4b44bbdfb99f856ea295
Publikováno v:
Multivariate Behav Res
The literature on latent change score models does not discuss the importance of using a precise time metric when structuring the data. This study examined the influence of time metric precision on model estimation, model interpretation, and parameter
Publikováno v:
International Journal of Behavioral Development. 45:11-18
Modeling within-person change over time and between-person differences in change over time is a primary goal in prevention science. When modeling change in an observed score over time with multilevel or structural equation modeling approaches, each o
Autor:
Kimberly L. Fine, Martin E. Rickert, Lauren M. O’Reilly, Ayesha C. Sujan, Katja Boersma, Zheng Chang, Johan Franck, Paul Lichtenstein, Henrik Larsson, Brian M. D’Onofrio, Patrick D. Quinn
Publikováno v:
Pediatrics
BACKGROUND AND OBJECTIVES Opioids are involved in an increasing proportion of suicide deaths. This study examined the association between opioid analgesic prescription initiation and suicidal behavior among young people. METHODS We analyzed Swedish p
Publikováno v:
Psychological Methods. 24:269-290
This didactic article aims to provide a gentle introduction to penalized splines as a way of estimating nonlinear growth curves in which many observations are collected over time on a single or multiple individuals. We begin by presenting piecewise l
Publikováno v:
Multivariate Behavioral Research. 54:475-491
Growth curve modeling is one of the main analytical approaches to study change over time. Growth curve models are commonly estimated in the linear and nonlinear mixed-effects modeling framework in which both the mean and person-specific curves are mo
Autor:
Kevin J. Grimm, Kimberly L. Fine
Publikováno v:
Multivariate behavioral research. 56(4)
Previous research has shown functional mixed-effects models and traditional mixed-effects models perform similarly when recovering individual trajectories when data were generated following a parametric structure. We extend this previous work and com
OBJECTIVES: To examine the relationship between acculturation and diet quality of preschoolers in the Phoenix area. There is little research on how the dietary intake of preschoolers outside of the home is impacted by parental acculturation in food s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6bedfec169b8715e9ef7df4a0ffeee
https://europepmc.org/articles/PMC6579399/
https://europepmc.org/articles/PMC6579399/
Autor:
Kevin J. Grimm, Kimberly L. Fine
Multilevel modeling is a data analytic framework that is appropriate when analyzing data that are dependent due to the clustering of observations in higher-level units. Clustered data appear in a variety of disciplines, which makes multilevel modelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a94d4915dfffbad73dfa4025db2897ec
https://doi.org/10.1093/acrefore/9780190236557.013.360
https://doi.org/10.1093/acrefore/9780190236557.013.360
Autor:
Katja Boersma, Henrik Larsson, Paul Lichtenstein, Patrick D. Quinn, Ayesha C. Sujan, Brian M. D’Onofrio, Johan Franck, Kimberly L. Fine, Zheng Chang, Martin E. Rickert
Publikováno v:
JAMA Pediatr
Importance Concerns about adverse outcomes associated with opioid analgesic prescription have led to major guideline and policy changes. Substantial uncertainty remains, however, regarding the association between opioid prescription initiation and in