| DNA methylation signatures identify biologically distinct subtypes in acute myeloid leukemia ME Figueroa, S Lugthart, Y Li, C Erpelinck-Verschueren, X Deng, ... Cancer cell 17 (1), 13-27, 2010 | 1008 | 2010 |
| Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm JG Booth, JP Hobert Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1999 | 817 | 1999 |
| Open access publishing, article downloads, and citations: randomised controlled trial PM Davis, BV Lewenstein, DH Simon, JG Booth, MJL Connolly BMj 337, 2008 | 525 | 2008 |
| Random‐effects modeling of categorical response data A Agresti, JG Booth*, JP Hobert*, B Caffo* Sociological Methodology 30 (1), 27-80, 2000 | 274 | 2000 |
| Standard errors of prediction in generalized linear mixed models JG Booth, JP Hobert Journal of the American Statistical Association 93 (441), 262-272, 1998 | 242 | 1998 |
| Bootstrap methods for finite populations JG Booth, RW Butler, P Hall Journal of the American Statistical Association 89 (428), 1282-1289, 1994 | 228 | 1994 |
| MUS81 generates a subset of MLH1-MLH3–independent crossovers in mammalian meiosis JK Holloway, J Booth, W Edelmann, CH McGowan, PE Cohen PLoS genetics 4 (9), e1000186, 2008 | 216 | 2008 |
| Negative binomial loglinear mixed models JG Booth, G Casella, H Friedl, JP Hobert Statistical Modelling 3 (3), 179-191, 2003 | 178 | 2003 |
| Human salivary amylase gene copy number impacts oral and gut microbiomes AC Poole, JK Goodrich, ND Youngblut, GG Luque, A Ruaud, JL Sutter, ... Cell host & microbe 25 (4), 553-564. e7, 2019 | 149 | 2019 |
| Clustering using objective functions and stochastic search JG Booth, G Casella, JP Hobert Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008 | 148 | 2008 |
| Monte Carlo approximation of bootstrap variances JG Booth, S Sarkar The American Statistician 52 (4), 354-357, 1998 | 146 | 1998 |
| Saddlepoint approximations to the CDF of some statistics with nonnormal limit distributions ATA Wood, JG Booth, RW Butler Journal of the American Statistical Association 88 (422), 680-686, 1993 | 135 | 1993 |
| Shewanella oneidensis in a lactate-fed pure-culture and a glucose-fed co-culture with Lactococcus lactis with an electrode as electron acceptor MA Rosenbaum, HY Bar, QK Beg, D Segrè, J Booth, MA Cotta, ... Bioresource technology 102 (3), 2623-2628, 2011 | 108 | 2011 |
| Monte Carlo approximation and the iterated bootstrap JG Booth, P Hall Biometrika 81 (2), 331-340, 1994 | 104 | 1994 |
| Simple sequence repeats in Neurospora crassa: distribution, polymorphism and evolutionary inference TS Kim, JG Booth, HG Gauch, Q Sun, J Park, YH Lee, K Lee BMC genomics 9, 1-19, 2008 | 96 | 2008 |
| SnIPRE: selection inference using a Poisson random effects model KE Eilertson, JG Booth, CD Bustamante PLoS computational biology 8 (12), e1002806, 2012 | 93 | 2012 |
| A survey of Monte Carlo algorithms for maximizing the likelihood of a two-stage hierarchical model JG Booth, JP Hobert, W Jank Statistical Modelling 1 (4), 333-349, 2001 | 78 | 2001 |
| Transcription imparts architecture, function and logic to enhancer units ND Tippens, J Liang, AKY Leung, SD Wierbowski, A Ozer, JG Booth, ... Nature genetics 52 (10), 1067-1075, 2020 | 77 | 2020 |
| Transcriptional Analysis of Shewanella oneidensis MR-1 with an Electrode Compared to Fe(III)Citrate or Oxygen as Terminal Electron Acceptor MA Rosenbaum, HY Bar, QK Beg, D Segrè, J Booth, MA Cotta, ... PLoS One 7 (2), e30827, 2012 | 69 | 2012 |
| Randomization distributions and saddlepoint approximations in generalized linear models JG Booth, RW Butler Biometrika 77 (4), 787-796, 1990 | 58 | 1990 |
