RAND Research Topic: Statistical Analysis Methodology 2017-07-19T14:43:17Z Copyright (c) 2017, The RAND Corporation RAND Corporation https://www.rand.org/topics/statistical-analysis-methodology.html Quantifying Cost and Schedule Uncertainty for Major Defense Acquisition Programs (MDAPs) Thomas Light; Robert S. Leonard; Julia Pollak; Meagan Smith; Akilah Wallace https://www.rand.org/pubs/research_reports/RR1723.html Jul 17, 2017 Jul 17, 2017 To help the Air Force better anticipate cost and schedule challenges and manage programs, this study developed a methodology to evaluate the likelihood of cost growth and schedule slip for major defense acquisition projects (MDAPs). Predictions Put Into Practice Jessica Saunders; Priscillia Hunt; John S. Hollywood https://www.rand.org/pubs/external_publications/EP67204.html Jul 6, 2017 Jul 6, 2017 In order to better understand the effects of an individual-focused predictive policing program in the field, this study analyzes a pilot program implemented in Chicago in 2013 aimed at reducing gun violence.  A Framework for Synthetic Control Methods With High-Dimensional, Micro-Level Data Michael Robbins; Jessica Saunders; Beau Kilmer https://www.rand.org/pubs/external_publications/EP67206.html Jun 30, 2017 Jun 30, 2017 Our study illustrates the advantages of using high-dimensional, micro-level data in the context of synthetic control methods. Propensity Scores for Multiple Treatments Matthew Cefalu; Maya Buenaventura https://www.rand.org/pubs/tools/TL170z1.html May 5, 2017 May 5, 2017 This tutorial explains the syntax and features related to the implementation of the MNPS commands in the Stata TWANG series. Introduction to Medical Care Statistical Workshops for Health Services Research Claude Messan Setodji; Jeroan J. Allison https://www.rand.org/pubs/external_publications/EP67123.html May 4, 2017 May 4, 2017 This is the introduction to a new series of statistical workshops that are practical and state of the art. Demographic, Social, Economic, and Housing Characteristics Christine E. Peterson; Margaret Weden; Regina A. Shih https://www.rand.org/pubs/research_reports/RR1741.html Jan 3, 2017 Jan 3, 2017 This report describes a contextual database of demographic, social, economic, housing, cultural, and urbanization measures for U.S. census tracts, counties, and metropolitan statistical areas for use in research. RAPAPORT Paul Dreyer https://www.rand.org/pubs/tools/TL184.html Apr 28, 2016 Apr 28, 2016 The Resilience Assessment Process and Portfolio Option Reporting Tool (RAPAPORT) is a Microsoft Excel-based tool for assessing non-materiel aspects of resilience. When Race/Ethnicity Data Are Lacking Allen Fremont; Joel S. Weissman; Emily Hoch; Marc N. Elliott https://www.rand.org/pubs/research_reports/RR1162.html Mar 28, 2016 Mar 28, 2016 This report describes the use of indirect estimation methods to estimate racial/ethnic populations in health care records, which often lack such data, and the use of such methods to measure and monitor disparities in quality of care. A Practical Introduction to Methods for Analyzing Longitudinal Data in the Presence of Missing Data Using a Marijuana Price Survey Jeremy N. V. Miles; Priscillia Hunt https://www.rand.org/pubs/external_publications/EP66393.html Mar 18, 2016 Mar 18, 2016 In applied psychology research settings, such as criminal psychology, missing data are to be expected. Missing data can cause problems with both biased estimates and lack of statistical power. The paper aims to discuss these issues. Robust Estimation of the Proportion of Treatment Effect Explained by Surrogate Marker Information Layla Parast; Mary M. McDermott; Lu Tian https://www.rand.org/pubs/external_publications/EP50986.html Dec 11, 2015 Dec 11, 2015 In randomized treatment studies where the primary outcome requires long follow-up of patients. Beyond the Ecological Fallacy Catherine L. Saunders; Marc N. Elliott; Georgios Lyratzopoulos; Gary Abel https://www.rand.org/pubs/external_publications/EP50911.html Oct 20, 2015 Oct 20, 2015 Simple recommendations for statistical best practices will improve the translation of appropriate and robust research findings into healthcare policy and practice. Toolkit for Weighting and Analysis of Nonequivalent Groups Matthew Cefalu; Shuangshuang Liu; Craig Martin https://www.rand.org/pubs/tools/TL170.html Sep 18, 2015 Sep 18, 2015 This tutorial provides an introduction to TWANG and demonstrates its use through illustrative examples. This tool includes the TWANG commands for Stata, a tutorial on their use, and the sample code and datasets used in the tutorial. TWANG Short Course/Educational Videos Beth Ann Griffin; Daniel F. McCaffrey https://www.rand.org/pubs/presentations/PT147.html Jul 13, 2015 Jul 13, 2015 Videos with step-by-step procedures for implementing propensity score analyses involving two or more treatment groups using the TWANG (Toolkit for Weighting and Analysis of Nonequivalent Groups) data analysis package. Web-based Textual Analysis of Free-Text Patient Experience Comments from a Survey in Primary Care Inocencio Maramba; Antoinette Davey; Marc N. Elliott; Martin J. Roberts; Martin Roland; Finlay Brown; Jenni A. Burt; Olga Boiko; John Campbell https://www.rand.org/pubs/external_publications/EP50702.html May 18, 2015 May 18, 2015 Open-ended questions eliciting free-text comments have been widely adopted in surveys of patient experience. Propensity Scores for Multiple Treatments Daniel F. McCaffrey; Lane F. Burgette; Beth Ann Griffin; Craig Martin https://www.rand.org/pubs/tools/TL169z1.html Mar 13, 2015 Mar 13, 2015 This tutorial explains the syntax and features related to the implementation of the MNPS function in the SAS TWANG macros. A Fruitful Application of Static Marginal Analysis H. W. Karr; Murray A. Geisler https://www.rand.org/pubs/external_publications/EP66256.html Feb 20, 2015 Feb 20, 2015 This paper describes the application of the technique of simple "marginal analysis" to an Air Force problem and suggests that a similar application may be useful in many industrial situations. Toolkit for Weighting and Analysis of Nonequivalent Groups Greg Ridgeway; Daniel F. McCaffrey; Andrew R. Morral; Lane F. Burgette; Beth Ann Griffin https://www.rand.org/pubs/tools/TL136z1.html Feb 6, 2015 Feb 6, 2015 This tutorial describes the use of the TWANG package in R to estimate propensity score weights when there are two treatment groups, and how to use TWANG to estimate nonresponse weights. Tool Created to Help Multinational Companies Assess Risk of Bribery When Doing Business in Foreign Countries RAND Corporation https://www.rand.org/news/press/2014/11/11.html Nov 11, 2014 Nov 11, 2014 Corruption can hinder global business investment -- particularly in emerging markets -- but multinational companies often have difficulty assessing the business bribery risk in other countries. A new tool, called the TRACE Matrix, can help. Tool Created to Help Multinational Companies Assess Risk of Bribery When Doing Business in Foreign Countries Karlyn Stanley; Elvira N. Loredo; Nicholas Burger; Jeremy N. V. Miles; Clinton W. Saloga https://www.rand.org/pubs/research_reports/RR839.html Nov 11, 2014 Nov 11, 2014 Corruption can hinder global business investment — particularly in emerging markets — but multinational companies often have difficulty assessing the business bribery risk in other countries. A new tool, called the TRACE Matrix, can help. Causal Inference Using Mixture Models Michael Robbins; Claude Messan Setodji https://www.rand.org/pubs/external_publications/EP66146.html Aug 28, 2014 Aug 28, 2014 Mixture models are useful for monitoring the behavior of data and for offering comparisons to supplemental data, especially in the presence of unobserved heterogeneity, but one should be highly cautious when drawing causal inferences as to which population each component of the fitted mixture model represents.