Are Bayesian regularization methods a must for multilevel dynamic latent variables models?

Due to the increased availability of intensive longitudinal data, researchers have been able to specify increasingly complex dynamic latent variable models. However, these models present challenges related to overfitting, hierarchical features, non-linearity, and sample size requirements. There are further limitations to be addressed regarding the finite sample performance of priors, including bias, accuracy, and type I error inflation.

What cancers explain the growing rural-urban gap in human papillomavirus-associated cancer incidence?

Purpose: Human papillomavirus (HPV) can cause cancers of the genital system, anus/rectum, and oropharynx. Prior research showed that HPV-associated cancer incidence was rising faster in nonmetro than in metro populations. Our study identified which cancers contributed to the widening disparity.

Social Risks and Nonadherence to Recommended Cancer Screening Among US Adults.

Importance: Research indicates that social drivers of health are associated with cancer screening adherence, although the exact magnitude of these associations remains unclear.

Objective: To investigate the associations between individual-level social risks and nonadherence to guideline-recommended cancer screenings.

Design, Setting, And Participants: This cross-sectional study used 2022 Behavioral Risk Factor Surveillance System data from 39 US states and Washington, DC.

Predictors of HPV vaccination coverage among adolescents in Tennessee during the COVID-19 pandemic: A cross-sectional study.

Geographical disparities exist in human papillomavirus (HPV) vaccination rates with Southern states having the lowest rates. Parental attitudes remain understudied in different Southern locations. We assessed factors related to HPV vaccination receipt among children aged 9-17 years in Tennessee, and if those factors differed by child's age and gender.