Data Mining

Contents:

All Items (11)

Journal Article

Using Logistic Approximations of Marginal Trace Lines to Develop Short Assessments — Jan 1, 2013

This article describes the computations needed to obtain logistic approximations of marginal trace lines for graded response items derived from multidimensional bifactor item response theory (IRT) models.

Journal Article

International Comparative Performance of Mental Health Research, 1980-2011 — Jan 1, 2013

This paper provides a bibliometric assessment of mental health research (MHR) outputs from 1980 to 2011.

Journal Article

Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations — Sep 1, 2012

Electronic searches typically yield far more citations than are relevant, and reviewers spend a substantial amount of time screening titles and abstracts to identify potential studies eligible for inclusion in a review.

Journal Article

Thinking Inside the Box: A Participatory, Computer-Assisted Approach to Scenario Discovery — Jan 1, 2010

This paper systematically describes the scenario discovery concept and its implementation, presents statistical tests to evaluate the resulting scenarios, and demonstrates the approach on an example policy problem involving the efficacy of a proposed U.S. renewable energy standard.

Journal Article

Do We Need Better Predictions to Adapt to a Changing Climate? — Mar 31, 2009

Many scientists have called for a substantial new investment in climate modeling to increase the accuracy, precision, and reliability of climate predictions.

Report

Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research — Nov 7, 2006

Using RAND research this paper examines how schools are utilizing test results and other data to make decisions for improving student success, describes the conditions and policies that support or hinder these efforts, and suggests future research to impr

Report

Collecting the Dots: Problem Formulation and Solution Elements — Dec 20, 2004

Investigates barriers to circulating information important for anticipating disasters and describes approaches for bringing information together in a meaningful way.

People

Siddhartha Dalal

Adjunct
Ph.D. in statistics, University of Rochester; M.B.A. in marketing, University of Rochester; B.S. in mathematical statistics, University of Bombay

People

John Hollywood

Operations Researcher; Professor, Pardee RAND Graduate School
Ph.D. in operations research, MIT; B.S. in applied mathematics, MIT

People

Daniella Meeker

Associate Information Scientist; Professor, Pardee RAND Graduate School
Ph.D. in computation and neural systems, California Institute of Technology; B.A. in biology, University of Chicago

People

Kanaka Shetty

Associate Natural Scientist
B.S. in biophysics, Yale University; M.D., New York University; M.S. in health services research, Stanford University

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Researcher Spotlight

Kanaka Shetty

Associate Natural Scientist

Kanaka Shetty

Kanaka Shetty is an associate natural scientist at the RAND Corporation and a practicing hospital-based internist. His current research assesses quality measurement programs with a focus on estimating the effect of performance measurement programs on patient outcomes. He has also developed…

John Hollywood

Operations Researcher

John Hollywood

John S. Hollywood is a full operations researcher at the RAND Corporation and a professor of policy analysis at Pardee RAND Graduate School. His principal focus is information systems research related to improving information collection and analysis methods to prevent violence, ranging from…

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