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Statistical Analysis Methodology

Journal Article
A Comparison of Multilevel Mediation Modeling Methods: Recommendations for Applied Researchers
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.
Feb 17, 2021
Journal Article
When Is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method
In this study, we present metrics to help analysts determine whether they have a good enough match to conduct causal inference using synthetic control method.
Feb 2, 2021
Journal Article
Improving The Accuracy Of Hospital Quality Ratings By Focusing On The Association Between Volume And Outcome
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.
Jan 28, 2021
Journal Article
Injury Scoring: Then, Now, and Into the 21st Century
In this essay we review the recent history of injury outcome prediction and suggest how the future may play out.
Jan 21, 2021
Journal Article
Impact of the Choice of Risk Model for Identifying Low-risk Patients Using the 2014 American College of Cardiology/American Heart Association Perioperative Guidelines
The aim of this study is to determine how often three risk-prediction tools agree on the classification of patients as low risk (less than 1%) of major adverse cardiac event.
Jan 20, 2021
Tool
Quantifying the Bias Due to Observed Individual Confounders in Causal Treatment Effect Estimates: A Tutorial for the Selection Bias Decomposition (SBdecomp) Package
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.
Dec 29, 2020
Journal Article
Exploring the Application of Machine Learning for Downscaling Climate Projections
In this proof-of-concept study, datasets derived from both observations and climate models were used together to train and test statistical methods to downscale.
Dec 22, 2020
Journal Article
Valid Inference in Single-Firm, Single-Event Studies
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.
Dec 11, 2020
Tool
Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny Application for Three or More Treatment Groups
This tutorial describes how to use a menu-driven Shiny application based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package.
Nov 24, 2020
Journal Article
Linking Statistics with Testing Policy to Manage COVID-19 in the Community
Monitoring the evolution of the pandemic in our society is crucial. This discussion highlights some very important principles of statistical sampling that are relevant to formulating policy.
Aug 4, 2020
Journal Article
Evaluation of Longitudinal Surrogate Markers
In this paper, we propose a model-free definition for the proportion of the treatment effect on the primary outcome that is explained by the treatment effect on the longitudinal surrogate markers.
Aug 4, 2020
Journal Article
The State of the Science in Opioid Policy Research
The rigor of study design varies notably across policy categories, highlighting the need for broader adoption of rigorous methods in opioid policy research.
Jul 7, 2020
Q&A
Modeling the Future of COVID-19: Q&A with RAND Experts
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.
May 26, 2020
Multimedia
Epidemiological Models and COVID-19
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.
May 21, 2020
Report
Modeling the Impact of Border-Enforcement Measures
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.
May 7, 2020
Commentary
Don't Make the Pandemic Worse with Poor Data Analysis
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.
May 6, 2020
Multimedia
State-of-the-Art Strategies for Addressing Selection Bias When Comparing Two or More Treatment Groups
This course introduces causal modeling using the potential outcomes framework and propensity score weights to estimate causal effects from observational data.
May 1, 2020
News Release
RAND Report Examines Ways to Compare the U.S. Army's Suicide Rate with the General U.S. Population
The U.S. Army should use an expanded set of demographic factors when comparing suicide rates to those in the general population to get a more accurate comparison.
Mar 13, 2020
Report
Comparing the Army's Suicide Rate to the General Population's
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.
Mar 10, 2020
Journal Article
Optimally Balanced Gaussian Process Propensity Scores for Estimating Treatment Effects
This paper introduces a new approach to estimating the propensity score using Gaussian processes and optimizing hyperparameters with respect to covariate balance.
Sep 19, 2019

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RAND Topic:
Statistical Analysis Methodology

Topic Synonyms:
Statistical Modeling