| Discrete‐time multilevel hazard analysis JS Barber, SA Murphy, WG Axinn, J Maples Sociological methodology 30 (1), 201-235, 2000 | 267 | 2000 |
| Bayesian benchmarking with applications to small area estimation GS Datta, M Ghosh, R Steorts, J Maples Test 20, 574-588, 2011 | 90 | 2011 |
| Examining clinical judgment in an adaptive intervention design: The fast track program. KL Bierman, RL Nix, JJ Maples, SA Murphy Journal of consulting and clinical psychology 74 (3), 468, 2006 | 76 | 2006 |
| Decoupling the relation between risk factors for conduct problems and the receipt of intervention services: Participation across multiple components of a prevention program RL Nix, EE Pinderhughes, KL Bierman, JJ Maples, ... American journal of community psychology 36, 307-325, 2005 | 48 | 2005 |
| An overview of the US census bureau's small area income and poverty estimates program W R. Bell, W W. Basel, J J. Maples Analysis of poverty data by small area estimation, 349-378, 2016 | 47 | 2016 |
| Use of ACS data to produce SAIPE model-based estimates of poverty for counties W Bell, W Basel, C Cruse, L Dalzell, J Maples, B O’Hara, D Powers Census Report, 2007 | 47 | 2007 |
| Two-level proportional hazards models JJ Maples, SA Murphy, WG Axinn Biometrics 58 (4), 754-763, 2002 | 25 | 2002 |
| Small area variance modeling with application to county poverty estimates from the American community survey J Maples, W Bell, ET Huang Proceedings of the Section on Survey Research Methods, Alexandria, VA …, 2009 | 24 | 2009 |
| Evaluation of school district poverty estimates: Predictive models using IRS income tax data J Maples, WR Bell ASA Section on Government Statistics. Available via http://www. amstat. org …, 2005 | 9 | 2005 |
| Improving small area estimates of disability: combining the American Community Survey with the Survey of Income and Program Participation JJ Maples Journal of the Royal Statistical Society Series A: Statistics in Society 180 …, 2017 | 8 | 2017 |
| Analysis of poverty data by small area estimation WR Bell, WW Basel, JJ Maples, M Pratesi Wiley, New York, 2016 | 8 | 2016 |
| Small Area Estimation of School District Child Population and Poverty: Studying Use of IRS Income Tax Data JJ Maples, WR Bell Statistics, 11, 2007 | 8 | 2007 |
| Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations R Janicki, AM Raim, SH Holan, JJ Maples The Annals of Applied Statistics 16 (1), 144-168, 2022 | 7 | 2022 |
| Small area confidence bounds on small cell proportions in survey populations A Gilary, J Maples, E Slud JSM Proceedings, Survey Research Section, 3541-3555, 2012 | 7 | 2012 |
| Using continuous variables as modeling covariates for net coverage estimation T Mule, T Schellhamer, D Malec, J Maples JSM Proceedings: Section on Survey Research Methods 1948, 1941 | 7 | 1941 |
| Evaluating the use of clinical judgment in the context of an adaptive intervention design: The Fast Track Prevention Program KL Bierman, RL Nix, JJ Maples, SA Murphy Unpublished. Pennsylvania State University, University Park 356, 2001 | 6 | 2001 |
| Small area random effects models for capture/recapture methods with applications to estimating coverage error in the US Decennial Census D Malec, J Maples Statistics in medicine 27 (20), 4038-4056, 2008 | 5 | 2008 |
| Modeling disability in small areas: An area-level approach of combining two surveys J You, GS Datta, JJ Maples Statistics, 11, 2014 | 4 | 2014 |
| Calculating coefficient of variation for the minimum change school district poverty estimates and the assessment of the impact of nongeocoded tax returns J Maples Statistics, 10, 2008 | 4 | 2008 |
| Investigating the use of IRS tax data in the SAIPE school district poverty estimates JJ Maples, W Bell US Census Bureau.< http://www. census. gov/hhes/www/saipe/asapaper …, 2004 | 4 | 2004 |
