Papers

Propensity score methods

• Green, K.M., and Stuart, E.A. (2014). Examining Moderation Analyses in Propensity Score Methods: Application to Depression and Substance Use. Forthcoming in Journal of Consulting and Clinical Psychology . Advance online publication. [Journal page]. PMID: 24731233.
• Stuart, E.A., DuGoff, E., Abrams, M., Salkever, D., and Steinwachs, D. (2013). Estimating Causal Effects in Observational Studies Using Electronic Health Data: Challenges and (some) Solutions. eGEMS (Generating Evidence & Methods to improve patient outcomes): 1(3), Article 4. DOI: 10.13063/2327-9214.1038. [Journal page]
• Leacy, F., and Stuart, E.A. (in press). On the joint use of propensity and prognostic scores in estimation of the Average Treatment Effect on the Treated: A simulation study. Forthcoming in Statistics in Medicine. Published online 22 October 2013. DOI 10.1002/sim.6030. PMID: 24151187. [Pubmed page].
• DuGoff, E.H., Schuler, M., and Stuart, E.A. (2014). Generalizing Observational Study Results: Applying Propensity Score Methods to Complex Surveys. Health Services Research 49(1): 284-303. PMCID: 3894255. [Pubmed page].
• Liu, W., Kuramoto, S.K., and Stuart, E.A. (2013). An Introduction to Sensitivity Analysis for Unobserved Confounding in Non-Experimental Prevention Research. Prevention Science 14(6): 570-580. PMCID: 3800481. [ href="http://www.ncbi.nlm.nih.gov/pubmed/23408282">Pubmed page]
• Stuart, E.A., Lee, B.K., and Leacy, F.P. (2013). Prognostic-score based balance measures for propensity score methods in comparative effectiveness research. Journal of Clinical Epidemiology 66: S84-S90. PMCID: 3713509. [Pubmed page].
• Lee, B., Lessler, J., and Stuart, E.A. (2011). Weight trimming and propensity score weighting. PLoS ONE 6(3): e18174. [Pubmed page]
• Stuart, E.A. (2010). Matching Methods for Causal Inference: A review and a look forward. Statistical Science 25(1): 1-21. [PDF] [Journal page]
• Stuart, E.A. and Ialongo, N.S. (2010). Matching methods for selection of subjects for follow-up. Multivariate Behavioral Research 45(4): 746-765. PMCID NIHMS 223762.
• Harder, V.S., Stuart, E.A., and Anthony, J. (2010). Propensity Score Techniques and the Assessment of Measured Covariate Balance to Test Causal Associations in Psychological Research. Psychological Methods 15(3): 234-249. PMCID NIHMS 192966.
• Ho, D.E., Imai, K., King, G., and Stuart, E.A. (in press). MatchIt: Nonparametric preprocessing for parametric causal inference. Forthcoming in Journal of Statistical Software. [Webpage]
• Lee, B., Lessler, J., and Stuart, E.A. (2009). Improving propensity score weighting using machine learning. Statistics in Medicine 29(3): 337-346. PMCID NIHMS153529. [Journal page].
• Stuart, E.A., Marcus, S.M., Horvitz-Lennon, M.V., Gibbons, R.D., and Normand, S-L.T. (2009). Using non-experimental data to estimate treatment effects. Psychiatric Annals 39(7): 719-728. PMCID NIHMS94293. [Journal page].
• Marcus, S.M., Siddique, J., Ten Have, T.R., Gibbons, R.D., Stuart, E.A., and Normand, S-L.T. (2008). Balancing treatment comparisons in longitudinal studies. Psychiatric Annals 38(12): 805-811. [Journal page ].
• Stuart, E.A. and Rubin, D.B. (2008). Matching with multiple control groups and adjusting for group differences. Journal of Educational and Behavioral Statistics 33(3): 279-306. doi:10.3102/1076998607306078. [PDF].
• Stuart, E.A. (2008). Developing practical recommendations for the use of propensity scores: Discussion of "A critical appraisal of propensity score matching in the medical literature between 1996 and 2003" by Peter Austin, Statistics in Medicine. Statistics in Medicine 27(12): 2062-2065. DOI: 10.1002/sim.3207.
• Stuart, E.A., and Green, K.M. (2008). Using Full Matching to Estimate Causal Effects in Non-Experimental Studies: Examining the Relationship between Adolescent Marijuana Use and Adult Outcomes. Developmental Psychology 44(2): 395-406.
• Stuart, E.A. (2007). Estimating causal effects using school-level datasets. Educational Researcher 36: 187-198. [Abstract, PDF].
• Stuart, E.A. and Rubin, D.B. (2007). Best Practices in Quasi-Experimental Designs: Matching methods for causal inference. Chapter 11 (pp. 155-176) in Best Practices in Quantitative Social Science. J. Osborne (Ed.). Thousand Oaks, CA: Sage Publications. [Book Webpage]
• Ho, D.E., Imai, K., King, G., and Stuart, E.A. (2007) Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Analysis 15(3): 199-236. Winner of Warren Miller Prize for best paper published in Volume 15 of Political Analysis. Selected as a Fast Breaking Paper in the field of Social Sciences, general, by Thomson Reuters, due to its being one of the most-cited papers in its discipline published between 2006 and 2008. [Abstract, PDF , Webpage]
• Rubin, D.B. and Stuart, E.A. (2006) Affinely invariant matching methods with discriminant mixtures of proportional ellipsoidally symmetric distributions. The Annals of Statistics 34(4); 1814-1826. [PDF]
• Rubin, D.B. and Stuart, E.A. (2005). Matching with multiple control groups and adjusting for group differences. 2005 Proceedings of the American Statistical Association , Section on Health Policy Statistics [CD-ROM]. Alexandria, VA: American Statistical Association.[PDF]
• Stuart, E.A. (2003) Propensity scores. Encyclopedia of Social Science Research Methods. Lewis-Beck, M., Bryman, A.E., and Liao, T.F. (Eds.) Thousand Oaks, CA: Sage Publications.

Propensity score applications

• Chan, G.J., Stuart, E.A., Zaman, M., Mahmud, A.A., Baqui, A.H., and Black, R.E. (in press). The effect of intrapartum antibiotics on early-onset neonatal sepsis in Dhaka, Bangladesh: A propensity score matched analysis. BMC Pediatrics 14: 104. doi:10.1186/1471-2431-14-104.
• Hollm-Delgado, M-G., Stuart, E.A., and Black, R. (in press). Acute lower respiratory infection among Bacille Calmette-Guérin (BCG) vaccinated children. Forthcoming in Pediatrics.
• Crum, R., Mojtabai, R., Lzareck, S., Bolton, J.M., Robinson, J., Sareen, J., Green, K.M., Stuart, E.A., La Flair, L., Alvanzo, A.A.H., and Storr, C.L. (in press). A Prospective Assessment of Reports of Drinking to Self-medicate Mood Symptoms with the Incidence and Persistence of Alcohol Dependence. Forthcoming in JAMA Psychiatry 70(7): 718-726. PMID: 23636710. [Pubmed page]
• Werner, R., Kruse, G., Polsky, D., and Stuart, E.A. (2012). The Impact of Hospital Pay-for-Performance on Hospital and Medicare Costs. Health Services Research 47(6): 2118-2136. [Pubmed page]
• Villanti, A.C., Cullen, J., Vallone, D.M., and Stuart, E.A. (2011). Use of propensity score matching to evaluate a national smoking cessation media campaign. Evaluation Review 35(6): 571-591. [Pubmed page].
• Kuramoto, S.J., Stuart, E.A., Runeson, B., Lichtenstein, P., Langstrom, P., and Wilcox, H. (2010). Maternal versus Paternal Suicide and Offspring Risk of Hospitalization for Psychiatric Disorders and Suicide Attempt. Pediatrics 126(5): e1026-1032. [Pubmed page]
• Green, K.M., Doherty, M., Stuart, E.A., and Ensminger, P. (2010). Does Heavy Adolescent Marijuana Lead to Criminal Involvement in Adulthood? Evidence from a Multiwave Longitudinal Study of Urban African Americans. Drug and Alcohol Dependence 112: 117-125.
• Werner, R.M., Konetzka, R.T., Stuart, E.A., Norton, E.C., Polsky, D., and Park, J. (2009). The impact of public reporting on quality of postacute care. Health Services Research 44(4): 1169-1187. DOI: 10.1111/j.1475-6773.2009.00967.x [PDF]
• Harder, V.S., Stuart, E.A., & Anthony, J. (2008). Adolescent cannabis problems and young adult depression: Male-female stratified propensity score analyses. American Journal of Epidemiology 168: 592-601. DOI:10.1093/aje/kwn184.
• Slade, E.P., Stuart, E.A., Salkever, D.S., Karakus, M., Green, K.M., and Ialongo, N. (2008). Impacts of age of onset of substance use disorders on risk of adult incarceration among disadvantaged urban youth: A propensity score matching approach. Drug and Alcohol Dependence 95: 1-13.

Assessing the generalizability of randomized trial results

• Olsen, R., Bell, S., Orr, L., and Stuart, E.A. (2013). External Validity in Policy Evaluations that Choose Sites Purposively. Journal of Policy Analysis and Management 32(1): 107-121. [Journal page ].
• Marcus, S.M., Stuart, E.A., Wang, P., Shadish, W.R., and Steiner, P.M. (2012). Estimating the causal effect of randomization versus treatment preference in a Doubly-Randomized Preference Trial. Psychological Methods 17(2): 244-254. PMC Journal – In Progress. PMID: 22563844. [Pubmed page].
• Stuart, E.A., Cole, S.R., Bradshaw, C.P., and Leaf, P.J. (2011). The use of propensity scores to assess the generalizability of results from randomized trials. The Journal of the Royal Statistical Society, Series A. 174(2): 369-386. [Pubmed page]
• Cole, S.R. and Stuart, E.A. (2010). Generalizing evidence from randomized clinical trials to target populations: the ACTG-320 trial. American Journal of Epidemiology 172: 107-115. [Journal page ].
• Imai, K., King, G., and Stuart, E.A. (2008). Misunderstandings between experimentalists and observationalists about causal inference. Journal of the Royal Statistical Society, Series A 171: 481-502. On All-Time Top 10 list of downloads, Social Science Research Network, Quantitative Methods: Econometrics, Polimetrics, and Statistics Section (as of April 15, 2008). Also recognized as a "New Hot Paper in Economics and Business" by Thomson Reuters for being among the most cited in those fields. [PDF]

Dealing with post-treatment variables: Truncation due to death, noncompliance

• Stuart, E.A., and Jo, B. (in press). Assessing the sensitivity of methods for estimating principal causal effects. Forthcoming in Statistical Methods in Medical Research. [Pubmed page].
• Jo, B., Stuart, E.A., MacKinnon, D., and Vinokur, A.D. (2011). The use of propensity scores in mediation analysis. Multivariate Behavioral Research 46: 425-452. [Pubmed page]
• Imai, K., Jo, B., and Stuart, E.A. (2011). Commentary: Using potential outcomes to understand causal mediation analysis. Multivariate Behavioral Research 46(5): 861-873. NIHMS 317637. [Journal page].
• Jo, B., and Stuart, E.A. (2009). On the use of propensity scores in principal causal effect estimation. Statistics in Medicine 28:2857-2875. PMCID PMC2757143. [Journal page].
• Stuart, E.A., Perry, D.F., Le, H-N., & Ialongo, N.S. (2008). Estimating intervention effects of prevention programs: Accounting for noncompliance. Prevention Science 9(4): 288-298. 10.1007/s11121-008-0104-y. [PDF]
• McConnell, S., Stuart, E.A., and Devaney, B. (2008). The truncation-by-death problem: What to do in an experimental evaluation when the outcome is not always defined. Evaluation Review 32(2): 157-186. April 2008: 9th most-read article in Evaluation Review.
• Cook, S.R. and Stuart, E.A. (2007). Discussion of Dominici et al. "Does the effect of micronutrient supplementation on neonatal survival vary with respect to the percentiles of the birth weight distribution?" Bayesian Analysis 1(5): 33-38.

Missing data

• Azur, M., Stuart, E.A., Frangakis, C.M., and Leaf, P.J. (2011). Multiple imputation by chained equations: What is it and how does it work? International Journal of Methods in Psychiatric Research 20(1): 40-49. [Pubmed page]
• Stuart, E.A., Azur, M., Frangakis, C.E., & Leaf, P. (2009). Multiple imputation with large datasets: A case study of the Children's Mental Health Initiative. American Journal of Epidemiology 169(9): 1133-1139. doi:10.1093/aje/kwp026 [Journal page].

Health Policy and Health Services Research

• Jarlenski, M., Bennett, W., Stuart, E.A., Barry, C., and Bleich, S. (in press). Effects of State Medicaid Enrollment Policies on Prenatal Smoking Cessation and Adverse Birth Outcomes. Forthcoming in Health Affairs.
• DuGoff, E.H., Bekelman, J., Stuart, E.A., Armstrong, K., and Pollack, C.E. (2014). Surgical quality is more than volume: The association between changing urologists and complications for patients with localized prostate cancer. Forthcoming in Health Services Research. Published online 24 January 2014. DOI: 10.1111/1475-6773.12148. PMID: 24461049. http://www.ncbi.nlm.nih.gov/pubmed/24461049.
• Hanna, D.B., Buchacz, K., Gebo, K.A., Hessol, N.A., Horberg, M.A., Jacobson, L.P., Kirk, G.D., Kitahata, M.M., Korthuis, P.T., Moore, R.D., Napravnik, S., Patel, P., Silverberg, M.J., Sterling, T.R., Willig, J.H., Collier, A., Samji, H., Thorne, J.E., Althoff, K.N., Martin, J.N., Rodriguez, B., Stuart, E.A., and Gange, S.J. for the NA-ACCORD (2013). Association between U.S. state AIDS Drug Assistance Program (ADAP) features and HIV antiretroviral therapy initiation, 2001-2009. PLOS ONE 8(11): e78952. PMID: 24260137. http://www.ncbi.nlm.nih.gov/pubmed/24260137.
• Tung, G., Webster, D., Stuart, E.A., and Vernick, J. (2014). Political Factors Affecting the Enactment of State Level Clean Indoor Air Laws. American Journal of Public Health 104(6): e92-e97.
• Werner, R., Duey, K., Zhu, J., Stuart, E.A., and Duggan, M. (2013). The patient-centered medical home: An evaluation of a single private-payer demonstration in New Jersey. Medical Care 51(6): 487-493. [Pubmed page]
• Werner, R., Konetzka, T., Stuart, E.A., and Polsky, D. (2011). Changes in patient sorting to nursing homes under public reporting: Improved patient matching or provider gaming? Health Services Research 46(2): 555-571. [Pubmed page]
• Werner, R., Polsky, D., and Stuart, E.A. (2010). Public Reporting Contributes To Provider And Consumer-Driven Quality Gains At Nursing Homes. Health Affairs 29(9): 1706-1713.

Autism

• Zablotsky, B., Kalb, L., Freedman, B., Vasa, R., and Stuart, E.A. (2014). The association between healthcare experiences and perceived financial impact among families raising a child with an autism spectrum disorder. Psychiatric Services 65(3): 395-398. PMID: 24584528. [Pubmed page].
• Kalb, L.G., Stuart, E.A., Freedman, B., Zablotsky, B., and Vasa, R. (2012). Psychiatry-related emergency department visits among children with an Autism Spectrum Disorder. Pediatric Emergency Care 28(12): 1-8. PMID: 23187983. [Pubmed page].
• Zablotsky, B., Stuart, E.A., and Bradshaw, C.P. (2012). The Association between Mental Health, Stress, and Coping Supports in Mothers of Children with Autism Spectrum Disorders. Journal of Autism and Developmental Disorders 43(6): 1380-1393. [Pubmed page]
• Landa, R.J., Holman, K.C., O’Neill, A.H., and Stuart, E.A. (2011). Intervention targeting development of socially synchronous engagement in toddlers with Autism Spectrum Disorder: A randomized controlled trial. The Journal of Child Psychology and Psychiatry 52(1): 13-21. PMCID: PMC3059234. [Pubmed page]
• Landa R., Gross, A., Stuart, E.A., and Faherty, A. (2013). Developmental trajectories in children with and without autism spectrum disorders: The first three years. Child Development 84(2): 429-442. PMID: 23110514. []
• Landa, R.J., Gross, A., and Stuart, E.A. (2012). Latent class analysis of early developmental trajectory in baby sibs of children with Autism. Journal of Child Psychiatry & Psychology 53(9): 986-996. PMCID: PMC3432306. [Pubmed page]
• Freedman, B.H., Kalb, L., Zablotsky, B., and Stuart, E.A. (2012). Relationship Status among Parents of Children with Autism Spectrum Disorders: A Population-Based Study. Journal of Autism and Developmental Disorders 42(4): 539-548. [Pubmed page]
• Kalb, L.G., Stuart, E.A., Freedman, B., Zablotsky, B., and Vasa, R. (2012). Psychiatry-related emergency department visits among children with an Autism Spectrum Disorder. Pediatric Emergency Care 28(12): 1-8. PMID: 23187983. [Pubmed page]
• Rosenberg, R.E., Landa, R.J., Law, J.K., Stuart, E.A., and Law, P.A. (2011). Factors Affecting Age at Initial Autism Spectrum Disorder Diagnosis in a National Survey. Autism Research and Treatment Volume 2011, Article ID 874619, 11 pages. [Pubmed page]

Perinatal depression

• Mendelson, T., Leis, J.A., Perry, D.F., Stuart, E.A., & Tandon, S.D. (2013). Impact of a preventive intervention for perinatal depression on mood regulation, social support, and coping. Archives of Women's Mental Health . Published online March 5, 2013. DOI 10.1007/s00737-013-0332-4. [Pubmed page]
• Leis, J., Heron, J., Stuart, E.A., and Mendelson, T. (2012). Associations between depressive and anxious symptoms and prenatal alcohol use. Maternal and Child Health Journal 16(6): 1304-1311. PMID: 21971680. [Pubmed page]
• Le, H-N., Perry, D., and Stuart, E.A. (2011). Randomized controlled trial of a preventive intervention for perinatal depression in high-risk Latinas. Journal of Consulting and Clinical Psychology 79(2): 135-141. [Pubmed page]
• Christensen, A.L., Stuart, E.A., Perry, D.F., and Le, H-N. (2011). Unintended pregnancy and perinatal depression trajectories in low-income, high-risk Hispanic immigrants. Prevention Science 12(3): 289-299. [Pubmed page]

Drug and alcohol abuse and dependence

• Wang, Y., Storr, C., Green, K., Zhu, S., Stuart, E.A., Lynne-Landsman, S.D., Clemans, K.H., Petras, H., Kellam, S.G., and Ialongo, N.S. (2012). The Effect of Two Elementary School-based Prevention Interventions on Being Offered Tobacco and the Transition to Smoking. Drug and Alcohol Dependence 120(1-3): 202-208. PMID: 21868176. [Pubmed page]
• Wang, Y., Browne, D.C., Petras, H., Stuart, E.A., Wagner, F.A., Lambert, S.F., Kellam, S.G., & Ialongo, N.S. (2009). Depressed Mood and the Effect of Two Universal First Grade Preventive Interventions on Survival to the First Tobacco Cigarette Smoked Among Urban Youth. Drug and Alcohol Dependence 100: 194-203. DOI:10.1016/j.drugalcdep.2008.08.020. [Journal page].
• Crum, R.M., Green, K.M., Storr, C.L., Chan, Y-F., Ialongo, N., Stuart, E.A., and Anthony, J.C. (2008). Depressed mood in childhood and subsequent alcohol use through adolescence and young adulthood. Archives of General Psychiatry 65(6): 702-712. [Journal page]

Other

• Lee, G., Stuart, E.A., and Martins, S. (in press) Psychiatric service utilization among gamblers with gambling problems. Forthcoming in Psychiatric Services.
• Gross, A., Brandt, J., Bandeen-Roche, K.R., Carlson, M.C., Stuart, E.A., Marsiske, M., and Rebok, G.W. (2014). Do older adults use the Method of Loci? Results from the ACTIVE study. Experimental Aging Research 40, epub. PMID: 24625044. [Pubmed page].
• Pacek, L.R., Crum, R., Knowlton, A., Stuart, E.A., and Latkin, C. (2014). Interest in quitting and lifetime quit attempts among smokers living with HIV infection. Forthcoming in Drug and Alcohol Dependence. Published online 15 February 2014. DOI: 10.1016/j.drugalcdep.2014.02.008. PMID: 24602364. [Pubmed page].
• Rudolph, K.E., Wang, G.S., Stuart, E.A., Glass, T.A., Marques, A.H., Duncko, R., and Merikangas, K.R. (2014). The association between cortisol and neighborhood disadvantage in a U.S. population-based sample of adolescents. Health and Place 25:68-77. PMID: 24367966. http://www.ncbi.nlm.nih.gov/pubmed/24367996.
• Lee, G., Martins, S., Stuart, E.A., and Ialongo, N. (in press). Parental monitoring trajectories and gambling among a longitudinal cohort of urban youth. Forthcoming in Addiction. Published online 06 November 2013. DOI 10.1111/add.12399.
• Leis, J., Mendelson, T., Stuart, E.A., and Heron, J. (2014). Associations between maternal mental health and child emotional and behavioral problems: Does prenatal mental health matter? Journal of Abnormal Child Psychology 42(1): 161-171. PMID: 23748337. http://www.ncbi.nlm.nih.gov/pubmed/23748337.
• Rudolph, K., Stuart, E.A., Merikangas, K., and Glass, T. (2014). Neighborhood disadvantage in context: the influence of urbanicity on the association between neighborhood disadvantage and adolescent emotional disorder. Social Psychiatry and Psychiatric Epidemiology 49(3): 467-475. PMID: 23754682. http://www.ncbi.nlm.nih.gov/pubmed/23754682.
• Petras, H., Buckley, J.A., Leoutsakos, J-M.S., Stuart, E.A., and Ialongo, N.S. (2013). The use of multiple versus single assessment time points to improve screening accuracy in identifying children at risk for later serious antisocial behavior. Prevention Science 14(5): 423-436. DOI 10.1007/s11121-012-0324-z. [Journal page]
• Kuramoto, S.J., Runeson, B., Lichtenstein, P., Stuart, E.A., and Wilcox, H. (2013). Time to hospitalization for suicide attempt by the timing of parental suicide during offspring early development. JAMA Psychiatry 70(2): 149-157. [Pubmed page]
• Karakus, M.C., Salkever, D.S., Slade, E.P., Ialongo, N., and Stuart, E.A. (2012). Implications of Middle School Behavior Problems for High School Graduation and Employment Outcomes of Young Adults: Estimation of a Recursive Model. Education Economics 20(1): 33-52. [Journal page]
• Sahastrabuddhe, S., Gupta, A., Stuart, E.A., Godbole, S., Ghate, M., Sahay, S., Gangakhedkar, R., Rishud, A., Divekar, A., Bollinger, R., and Mehendale, S.M. (2012). Sexually transmitted infections and risk behaviors among transgender (Hijras) of Pune, India. Journal of Acquired Immune Deficiency Syndromes 59(1): 72-78. PMID: 21937924. [Pubmed page]
• Cooley-Strickland, M., Quille, T.J., Griffin, R.S., Stuart, E.A., Bradshaw, C.P., and Furr-Holden, D.M. (2009). Community violence and youth: Affect, behavior, substance use, and academics. Clinical Child and Family Psychology Review 12: 127-156. doi: 10.1007/s10567-009-0051-6.
• Miech, R., Azur, M., Patterson, T., Jowers, K., Goldstein, A.B., Stuart, E.A., Walrath, C., and Leaf, P.J. (2008). The potential to reduce mental health disparities through the Comprehensive Community Mental Health Services for Children and Their Families Program. Journal of Behavioral Health Services \& Research 35(3): 253-264.
• Salkever, D.S., Johnston, S., Karakus, M.C., Ialongo, N.S., Slade, E.P., and Stuart, E.A. (2008). Enhancing the Net Benefits of Disseminating Efficacious Prevention Programs: A Note on Target Efficiency with Illustrative Examples. Administration and Policy in Mental Health and Mental Health Services Research. Online early access, March 16, 2008. DOI 10.1007/s10488-008-0168-9.
• McCaffrey, D., Stuart, E.A., Rubin, D.B., and Zanutto, E.L. (2006) Design and Implementation of Case-Control Matching to Estimate the Effects of Value-Added Assessment. Paper prepared for the American Educational Research Association Annual Meeting, April 2006.
• Rubin, D.B., Stuart, E.A., and Zanutto, E.L. (2004) A Potential Outcomes View of Value-Added Assessment in Education. Journal of Educational and Behavioral Statistics 29 (1): 103-116.
• Stuart, E.A. and Judson, D.H. (2003) An empirical evaluation of the use of administrative records to predict census day residency. 2003 Proceedings of the American Statistical Association , Section on Government Statistics [CD-ROM]. Alexandria, VA: American Statistical Association. [PDF]
• Asher, J., Fienberg, S.E., Stuart, E.A. and Zaslavsky, A.M. (2003). Inferences for finite populations using multiple data sources with different reference times. Proceedings of Statistics Canada Symposium 2002: Modelling Survey Data for Social and Economic Research. Ottawa, ON: Statistics Canada.
• Stuart, E.A. and Zaslavsky, A.M. (2002) Using administrative records to predict census day residency. Case Studies in Bayesian Statistics, Volume VI, Gatsonis, C., Kass, R.E., Carriquiry, A., Gelman, A., Higdon, D., Pauler, D.K., Verdinelli, I. (Eds.) New York: Springer, 335-349. [PDF]
• Stuart, E.A. and Zaslavsky, A.M. (2001) Using administrative records to predict census day residency. 2001 Proceedings of the American Statistical Association . Alexandria, VA: American Statistical Association. [PDF]
• Devaney, B. and Stuart, E.A. (1998). Eating Breakfast: Effects of the School Breakfast Program. Family Economics and Nutrition Review 11(4).

Multiple imputation documentation

• Azur, M., Frangakis, C., and Stuart, E.A. (2008). Disparities Among Children Served by the CMHS Children's Services Program: Overview of Multiple Imputation and Using Multiply Imputed Data. General documentation on creating and using multiply imputed data. [PDF]
• Azur, M., Frangakis, C., and Stuart, E.A. (2007). Disparities Among Children Served by the CMHS Children's Services Program: Multiply Imputed Data Toolkit. Detailed documentation for users of the CMHS Children's Health Program multiply imputed data. [PDF]

Software

• Ho, D.E., Imai, K., King, G., and Stuart, E.A. (2006) MatchIt: Nonparametric preprocessing for parametric causal inference. R software package.

Project Reports

• Cody, S., Schirm, A., Stuart, E., Castner, L., and Zaslavsky, A. (2008). Sources of variation in state-level food stamp participation rates. Report submitted to the U.S. Department of Agriculture Economic Research Service. Washington, DC: Mathematica Policy Research, Inc. [Webpage]
• McConnell, S., Stuart, E.A., Fortson, K., Decker, P., Perez-Johnson, I., Harris, B., and Salzman, J. (2006). Managing Customers Training Choices: Findings from the Individual Training Account Experiment. Report submitted to the U.S. Department of Labor, Employment and Training Administration. Washington, DC: Mathematica Policy Research, Inc. [Webpage]
• Torgesen, J., Myers, D., Schirm, A., Stuart, E., Vartivarian, S., Mansfield, W., Borhnstedt, G., Stancavage, F., Durno, D., Javorsky, R., and Haan, C. (2006). Closing the reading gap: First-year findings from a randomized trial of four reading interventions for striving readers. Report submitted to Congress by the Department of Education, Institute of Education Sciences. Washington, DC: Mathematica Policy Research, Inc. [Webpage]
• Stuart, E., Olsen, R., Schirm, A., Young, J., and DesRoches, D. (2006). The impacts of regular Upward Bound on postsecondary educational activities within 4-6 years after scheduled high school graduation. Draft report submitted to the U.S. Department of Education, Policy and Program Studies Service. Washington, DC: Mathematica Policy Research, Inc.
• Schirm, A., Stuart, E., and McKie, A. (2006). The Quantum Opportunity Program Demonstration: Final Impacts. Draft report submitted to the U.S. Department of Labor, Employment and Training Administration. Washington, DC: Mathematica Policy Research, Inc. [Webpage]
• Stuart, E.A. Estimating School-Level Causal Effects Using School-Level Data Sets. Invited paper presented at the National Academy of Sciences Board on Testing and Assessment's Symposium on the Use of School-level Data. Washington, DC: National Academy of Sciences.
• Stuart, E.A. and Zaslavsky, A.M. (2005). Using administrative records to predict residency: Final Report. Submitted to the U.S. Bureau of the Census.

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