Application of the Pattern-Mixture Latent Trajectory Model in an Epidemiological Study with Non-Ignorable Missingness

2021 ◽  
Vol 6 (3) ◽  
pp. 231-246
Author(s):  
Hiroko H. Dodge ◽  
Changyu Shen ◽  
Mary Ganguli
Author(s):  
Francesco Bartolucci ◽  
Thomas Brendan Murphy

AbstractA finite mixture latent trajectory model is developed to study the performance and strategy of runners in a 24-h long ultra running race. The model facilitates clustering of runners based on their speed and propensity to rest and thus reveals the strategies used in the race. Inference for the adopted latent trajectory model is achieved using an expectation-maximization algorithm. Fitting the model to data from the 2013 World Championships reveals three clearly separated clusters of runners who exhibit different strategies throughout the race. The strategies show that runners can be grouped in terms of their average moving speed and their propensity to rest during the race. The effect of age and gender on the probability of belonging to each cluster is also investigated.


2020 ◽  
pp. 108705472090833
Author(s):  
Aja Louise Murray ◽  
Arthur Caye ◽  
Karen McKenzie ◽  
Bonnie Auyeung ◽  
George Murray ◽  
...  

Objective: Significant anxiety often occurs in the presence of ADHD symptoms; however, the reasons are not well understood. We aimed to establish whether the relations between ADHD symptons and anxiety are bidirectional or unidirectional. Method: Weexamined the developmental relations between ADHD and anxiety symptoms across adolescence (ages 13, 15, and 17) in a community-ascertained, normative longitudinal sample of 1,483 youth (52% male). We used an autoregressive latent trajectory model with structured residuals (ALT-SR) to examine within-person developmental relations between ADHD and anxiety symptoms to determine whether it is ADHD symptoms that lead to anxiety symptoms and/or the reverse. Results: Results suggested that there are reciprocal within-person developmental relations between ADHD and anxiety symptoms. Conclusions: Our findings support the recommendation that targeting ADHD symptoms can be fruitful for addressing anxiety symptoms; however, they suggest that targeting anxiety symptoms may also benefit ADHD symptoms. Results also underline the importance of careful assessment for underlying ADHD symptoms among adolescents presenting with anxiety.


2016 ◽  
Vol 43 (14) ◽  
pp. 2503-2523 ◽  
Author(s):  
Dongbing Lai ◽  
Huiping Xu ◽  
Daniel Koller ◽  
Tatiana Foroud ◽  
Sujuan Gao

2016 ◽  
Author(s):  
Molly Copeland ◽  
Bryce Bartlett ◽  
Jacob C. Fisher

Prevailing social network frameworks examine the association between peerties and behaviors like smoking, but the role of social isolates is poorlyunderstood. Some theories predict isolated adolescents are protected frompeer influence that increases smoking, while others suggest isolates aremore likely to initiate smoking because they lack social control providedby peer friendships. Building on a growing literature that seeks to explainthese contradictions by moving beyond a homogeneous understanding ofisolation, we identify the relationships between smoking and three distinctdimensions of isolation: avoided (adolescents who do not receive ties),withdrawn (adolescents who do not send ties), and externally oriented(adolescents who claim close out-of-grade friends). We examine thecoevolutionary effects of these dimensions and cigarette smoking using anautoregressive latent trajectory model (ALT) with PROSPER Peers, a unique,longitudinal networks dataset. These data include students (47% male and86% White) from rural Iowa and Pennsylvania, ranging successively fromgrades 6-12 in eight waves of data. As a robustness check, we use astochastic actor-oriented model (SAOM) to compare to results from the ALT.We find avoided isolation and external orientation are associated withdecreased successive smoking in high school, while smoking increasessubsequent isolation along all three dimensions, with particularly strongeffects on withdrawn isolation.


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