A5085568968- Substance Abuse Treatment and Outcomes
- Child and Adolescent Psychosocial and Emotional Development
- HIV/AIDS Research and Interventions
- LGBTQ Health, Identity, and Policy
- Smoking Behavior and Cessation
- Homelessness and Social Issues
- Adolescent Sexual and Reproductive Health
- Early Childhood Education and Development
- Health disparities and outcomes
- Food Security and Health in Diverse Populations
- Gambling Behavior and Treatments
- Child Abuse and Trauma
- Mental Health Research Topics
- Statistical Methods and Bayesian Inference
- Prenatal Substance Exposure Effects
- Alcohol Consumption and Health Effects
- Statistical Methods and Inference
- Racial and Ethnic Identity Research
- Cannabis and Cannabinoid Research
- Attachment and Relationship Dynamics
- Behavioral Health and Interventions
- Advanced Causal Inference Techniques
- Air Quality and Health Impacts
- Sexuality, Behavior, and Technology
- Bayesian Methods and Mixture Models
University of Illinois Chicago
2019-2025
University of Illinois Urbana-Champaign
2022-2025
Roosevelt University
2022-2023
University of North Carolina at Charlotte
2023
Subsea Technologies (United Kingdom)
2021
Pennsylvania State University
2008-2020
Virginia Tech
2009-2013
Although prediction of class membership from observed variables in latent analysis is well understood, predicting an distal outcome more complicated. A flexible model-based approach proposed to empirically derive and summarize the class-dependent density functions outcomes with categorical, continuous, or count distributions. Monte Carlo simulation study conducted compare performance new technique two commonly used classify-analyze techniques: maximum-probability assignment multiple...
As more young people are identified with autism spectrum diagnoses without co-occurring intellectual disability (i.e. high-functioning disorder; HFASD), it is imperative that we begin to study the needs of this population. We sought gain a preliminary estimate scope problem and examine psychiatric risks associated HFASD symptoms in university students. In large sample (n = 667), examined prevalence ASD students at single both diagnostically dimensionally, surveyed on other behavioral...
AbstractDespite recent methodological advances in latent class analysis (LCA) and a rapid increase its application behavioral research, complex research questions that include variables often must be addressed by classifying individuals into classes treating membership as known subsequent analysis. Traditional approaches to based on posterior probabilities are produce attenuated estimates the analytic model. We propose use of more inclusive LCA generate probabilities; this includes...
Abstract High rates of comorbidity are observed between internalizing and externalizing problems, yet the developmental dynamics comorbid symptom presentations not well understood. This study explored course latent profiles symptoms across kindergarten, first grade, second grade. The sample consisted 336 children from an urban, low-income community, selected based on relatively high (61%) or low (39%) aggressive/oppositional behavior problems at school entry (64% male; 70% African American,...
Journal Article Transitions into and out of light intermittent smoking during emerging adulthood Get access Helene R. White, White Search for other works by this author on: Oxford Academic PubMed Google Scholar Bethany C. Bray, Bray Charles B. Fleming, Fleming Richard F. Catalano Nicotine & Tobacco Research, Volume 11, Issue 2, February 2009, Pages 211–219, https://doi.org/10.1093/ntr/ntn017 Published: 20 2009 history Received: 09 December 2007 Accepted: 03 April 2008
Several approaches are available for estimating the relationship of latent class membership to distal outcomes in profile analysis (LPA). A three-step approach is commonly used, but has problems with estimation bias and confidence interval coverage. Proposed improvements include correction method Bolck, Croon, Hagenaars (BCH; 2004), Vermunt's (2010) maximum likelihood (ML) approach, inclusive Bray, Lanza, & Tan (2015). These methods have been studied related case (LCA) categorical...
This study examines reasons for marijuana use among young adults age 19/20 in the United States and extent to which patterns of are associated with problems 15 years later.The national Monitoring Future provided data on users at who were also surveyed 35 (n = 2,288; 50% women; 83% White). Latent class analysis was used identify distinct use, then as predictors later problems.Five latent classes described following 19/20: Experimental, Get High + Relax, Typical, Typical Escape, Coping Drug...
Substantial uncertainties surround the sensitivities and specificities of diagnostic techniques for urinary schistosomiasis. We used latent class (LC) modeling to address this problem. In study, 220 adults in three villages northwest Accra, Ghana were examined using five Schistosoma haematobium measures: microscopic examination urine detection S. eggs, dipsticks hematuria, tests circulating antigens, antibody tests, ultrasound scans system. Testing LC model indicated non-invariance...
Racial discrimination is consistently linked to negative mental health outcomes. However, less known about how unique patterns of coping in Black Americans experiencing high stress may moderate the association between and health. The present study uses person-centered methods identify describe latent profiles Americans, understand these are health, examine whether links Participants were (N = 289; Mage 44.87; 63% women) from Midlife Development United States Milwaukee Refresher study. Latent...
Research has demonstrated that social-ecological risk and protective factors at multiple levels are associated with sexual behavior in adolescence. However, relatively little is known about how different patterns of these may work together combination to influence risk. In this study, we use nationally representative data from the U.S. National Longitudinal Study Adolescent Adult Health (a) uncover latent classes adolescent factors, (b) examine membership differs by demographic...
To understand one developmental process, it is often helpful to investigate its relations with other processes. Statistical methods that model development in multiple processes simultaneously over time include latent growth curve models time-varying covariates, multivariate models, and dual trajectory models. These are designed for represented by continuous, unidimensional trajectories. The purpose of this article present a flexible approach modeling among two or more discrete,...
Background Youths with family histories of alcohol and other drug use disorders (FH+) are at increased susceptibility for developing substance relative to those without such (FH−). This vulnerability may be related impaired adolescent development impulse control elevated risk-taking. However, no previous studies have prospectively examined risk-taking in FH+ youth across adolescence. Methods A total 386 pre-adolescents (305 FH+, 81 FH−; aged 10 12) regular or were compared on behavioral...
Youth appraisals and triangulation into conflicts are key mechanisms by which interparental conflict places youth at risk for psychological maladjustment. Although evidence suggests that there multiple work (e.g., Fosco & Feinberg, 2015; Grych, Harold, Miles, 2003), this body of has relied on variable-centered analyses limited to the unique contributions each process variance in outcomes. In reality, it is possible different combinations these may account multifinality Using latent profile...
Abstract Heterogeneity is observed in the patterns of cognition Alzheimer’s disease (AD). Such heterogeneity might suggest involvement different etiological pathways or host responses to pathology. A total 627 subjects with mild/moderate AD underwent cognitive assessment Mini-Mental State Examination (MMSE) and Dementia Rating Scale-2 (DRS-2). Latent class analysis (LCA) was performed on subscale data identify characterize subgroups. Clinical, demographic, genetic factors were explored for...