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.
The goal of this exploratory analysis was to examine the changes in hospital star rankings for aortic valve replacement when shrinkage targets based on hospital case volume are used instead of the standard CMS approach.
In this tool, the authors explain the methodology behind the primary function of the selection bias decomposition (SBdecomp) package; describe its features, syntax and how to implement the function; and illustrate its use with an example.
This paper concerns single-firm event studies, which are especially important in the context of securities litigation. Event studies can be used to address directly the materiality and loss causation elements.
The phrase “flatten the curve” familiarized Americans with epidemiological models used to estimate virus transmission, cases, and potential deaths from COVID-19. But new models are needed as the country enters a different stage of the crisis.
In this Call with the Experts podcast, RAND researchers say new epidemiological models are needed as the country enters a different stage of the COVID-19 crisis, one in which changed behaviors must be taken into account.
This report offers insights into effects of surveillance technology on border outcomes. The underlying research demonstrated the promise and limits of quasi-experimental statistical methods for evaluating the impact of border-enforcement measures.
The need for immediate answers in the face of severe public health and economic distress may create a temptation to relax statistical standards. But urgency should not preclude expert analysis and honest assessments of uncertainty. Mistaken assumptions could lead to counterproductive actions.
The U.S. Army has typically compared its suicide rate with that of the general population while adjusting for age, gender, and yearly differences. But there are additional factors related to suicide that should be considered: race/ethnicity, educational attainment, and marital status.