In this paper, we discuss the strengths and limitations of multilevel modeling, with a focus on the indirect effects when the predictor, mediator, and dependent variable are all collected at the lowest level of data.
This paper details the objectives, process and lessons learned from a workshop-based research project that examined the spatial extent of groundwater contamination in Los Angeles County's groundwater basins.
To assess predictors of utilization and telelactation visit characteristics, we merged and analyzed data from two sources: visit-level data supplied by the telelactation vendor and longitudinal surveys of women in the intervention group at four timepoints.
Prescription opioid use and driving is a public health concern given the risks associated with drugged driving. We examined the prevalence and correlates of driving after taking prescription opioids among adults seeking emergency department treatment.
With a focus on cluster switching that violates treatment assignment, the goal of this article is to explore the challenges posed for the analysis of clustered RCTs and to propose a potential solution to these challenges.
Sleep is a critical contributor to health and well-being. Sleep disturbances may contribute to racial and socioeconomic disparities in health. Understanding socio-environmental determinants of sleep health disparities is a public health imperative.
This study examines whether the key characteristics of organizational decision makers predicted continued implementation of five different practices that represent organizational cultural competence in one of the most diverse substance use disorder treatment systems in the United States.
We described differences in patient experiences of hospital care by preferred language within racial/ethnic groups using HCAHPS survey data. We measured patient-mix adjusted overall, between-and within-hospital differences inpatient experience by language, using linear regression.
This paper presents the results of a systematic review of 84 studies that map social vulnerability to climate impacts in order to identify common approaches to mapping, evaluate their strengths and limitations, and offer recommendations and future directions for the field.
This paper uses conditional variation in the initial broadcast dates of NOAA Weather Radio All Hazards (NWR) transmitters to produce cross-sectional and fixed effects estimates of the causal impact of expanding the NWR transmitter network.