| Negative binomial regression JM Hilbe Cambridge University Press, 2011 | 5988 | 2011 |
| Generalized estimating equations JM Hilbe, JW Hardin CRC Press, 2003 | 3362* | 2003 |
| Generalized linear models and extensions JW Hardin, JM Hilbe Stata press, 2007 | 2249 | 2007 |
| Logistic Regression Models JM Hilbe Chapman & Hall/CRC Press, 2009 | 1800 | 2009 |
| Modeling Count Data JM Hilbe Cambridge University Press, 2014 | 1149 | 2014 |
| Practical guide to logistic regression JM Hilbe crc Press, 2016 | 330 | 2016 |
| Failure-free survival following brachytherapy alone or external beam irradiation alone for T1–2 prostate tumors in 2222 patients: results from a single practice DG Brachman, T Thomas, J Hilbe, DC Beyer International Journal of Radiation Oncology* Biology* Physics 48 (1), 111-117, 2000 | 159 | 2000 |
| Female hurricanes are deadlier than male hurricanes K Jung, S Shavitt, M Viswanathan, JM Hilbe Proceedings of the National Academy of Sciences 111 (24), 8782-8787, 2014 | 157 | 2014 |
| Logistic regression. JM Hilbe International encyclopedia of statistical science 1, 15-32, 2011 | 144 | 2011 |
| Early assessment and in-hospital management of patients with acute myocardial infarction at increased risk for adverse outcomes: A nationwide perspective of current clinical … RC Becker, M Burns, JM Gore, FA Spencer, SP Ball, W French, ... American heart journal 135 (5), 786-796, 1998 | 122 | 1998 |
| A comparison of several approaches for choosing between working correlation structures in generalized estimating equation analysis of longitudinal binary data J Shults, W Sun, X Tu, H Kim, J Amsterdam, JM Hilbe, T Ten‐Have Statistics in medicine 28 (18), 2338-2355, 2009 | 118 | 2009 |
| STATISTICA 7: an overview JM Hilbe The American Statistician 61 (1), 91-94, 2007 | 96 | 2007 |
| R for Stata users RA Muenchen, J Hilbe Springer, 2010 | 93 | 2010 |
| Management and outcomes for black patients with acute myocardial infarction in the reperfusion era HA Taylor Jr, JG Canto, B Sanderson, WJ Rogers, J Hilbe The American journal of cardiology 82 (9), 1019-1023, 1998 | 93 | 1998 |
| Generalized linear models JM Hilbe The American Statistician 48 (3), 255-265, 1994 | 92 | 1994 |
| Presenting characteristics, treatment patterns, and clinical outcomes of non-black minorities in the National Registry of Myocardial Infarction 2 JG Canto, HA Taylor Jr, WJ Rogers, B Sanderson, J Hilbe, HV Barron The American journal of cardiology 82 (9), 1013-1018, 1998 | 85 | 1998 |
| Bayesian models for astrophysical data: using R, JAGS, Python, and Stan JM Hilbe, RS De Souza, EEO Ishida Cambridge University Press, 2017 | 83 | 2017 |
| Methods of statistical model estimation JM Hilbe, AP Robinson CRC Press, 2013 | 71 | 2013 |
| Quasi-least squares regression J Shults, JM Hilbe CRC Press, 2014 | 57 | 2014 |
| Regression models for count data based on the negative binomial (p) distribution JW Hardin, JM Hilbe The Stata Journal 14 (2), 280-291, 2014 | 56 | 2014 |
David HosmerProfessor of Biostatistics(Emeritus) University of MassachusettsVerified email at schoolph.umass.edu
