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 Model Inventory and Selection Tool (MIST) is an interactive, searchable database of empirical, statistical, and conceptual models relevant to water- and climate-related planning and decisionmaking in the Chesapeake Bay watershed and beyond.
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.
This tutorial describes how to use a menu-driven Shiny app based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package. It can be used to estimate propensity score weights and treatment effects for binary treatments.
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.