RAND researchers have pioneered several different methodologies, such as the Delphi method and robust decisionmaking, and continue to apply their methodological expertise in multidisciplinary projects that may require a range of capabilities, including modeling and simulation, survey research, economic or statistical analysis, or planning and forecasting.
This study provides no evidence for the hypothesis that income inequality is a major risk factor for common disorders of physical or mental health.
Limited access to specialty care in rural settings may result in more expectations of primary care providers and a higher demand for primary care.
Computer-Assisted Reasoning, an approach to decision-making under conditions of uncertainty suited to applying complex systems to policy analysis.
Evaluates the validity and reliability of the Alcohol-Related Problems Survey and the Short ARPS which identify older persons whose use of alcohol alone or with their comorbidities may be placing them at risk for or causing them harm.
The ZINB model out performs the two-part models in terms of out-of-sample prediction.
Much work on sensitivity analysis for hierarchical models (HMs) has focused on level-2 outliers.
To develop a reliable and valid instrument to measure older adults' expectations regarding aging.
Individual and societal behavior now plays a more central role in the development of disease.
RAP methods may offer greater insight into the vulnerabilities inherent in several types of surprises.
Observational study procedures including questionnaires and audio recording can affect antibiotic prescribing behavior.
This paper describes the development of a new Medicare Prospective Payment System (PPS) for inpatient rehabilitation care.
Accountability for public education often requires estimating and ranking the quality of individual teachers or schools on the basis of student test scores. Although the properties of estimators of teacher-or-school effects are well established, less is known about the properties of rank estimators. The authors investigate performance of rank (percentile) estimators in a basic, two-stage hierarchical model capturing the essential features of the more complicated models that are commonly used to estimate effects. They use simulation to study mean squared error (MSE) performance of percentile estimates and to find the operating characteristics of decision rules based on estimated percentiles.
Mortality and Sample Selection: Reply to Noymer
The paper by Koppelman and Wen (1998) on nested logit structures (subsequently referred to as K&W), draws attention to alternative formulations of nested or 'tree' logit models.
The concept of citizenship—a connection to the rights, responsibilities, roles, and resources that society offers—offers a useful framework for approaching the goal of strengthening homeless people's ties to their community.
A number of organisations have developed clinical guidelines, typically at a national level, in order to increase appropriate health care.
To enhance the validity of a well-known expert panel process, the authors used data from patient surveys to identify and correct rating errors.
Discussions on the feasibility of developing dynamic models of dry use and related problems.
Balance between collecting important information and maintaining a reasonable level of survey readability will be an important consideration.
Recommendations for the cross-cultural adaptation of survey instruments and illustrates with examples of what is being done in the CAHPS Study.