Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research Z Yu, M Guindani, SF Grieco, L Chen, TC Holmes, X Xu Neuron 110 (1), 21-35, 2022 | 249 | 2022 |
Generalized spatial Dirichlet process models JA Duan, M Guindani, AE Gelfand Biometrika 94 (4), 809-825, 2007 | 230 | 2007 |
False discovery control in large-scale spatial multiple testing W Sun, BJ Reich, T Tony Cai, M Guindani, A Schwartzman Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015 | 146 | 2015 |
The role of the gastrointestinal microbiome in infectious complications during induction chemotherapy for acute myeloid leukemia JR Galloway‐Peña, DP Smith, P Sahasrabhojane, NJ Ajami, ... Cancer 122 (14), 2186-2196, 2016 | 144 | 2016 |
Hybrid Dirichlet processes for functional data S Petrone, M Guindani, AE Gelfand Journal of the Royal Statistical Society Series B, 2009 | 125* | 2009 |
Body image and quality of life of breast cancer patients: influence of timing and stage of breast reconstruction I Teo, GP Reece, IC Christie, M Guindani, MK Markey, LJ Heinberg, ... Psycho‐Oncology 25 (9), 1106-1112, 2016 | 117 | 2016 |
Retaining faculty in academic medicine: the impact of career development programs for women S Chang, PS Morahan, D Magrane, D Helitzer, HY Lee, S Newbill, ... Journal of women's health 25 (7), 687-696, 2016 | 113 | 2016 |
Characterization of oral and gut microbiome temporal variability in hospitalized cancer patients JR Galloway-Peña, DP Smith, P Sahasrabhojane, WD Wadsworth, ... Genome medicine 9, 1-14, 2017 | 98 | 2017 |
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data WD Wadsworth, R Argiento, M Guindani, J Galloway-Pena, SA Shelburne, ... BMC bioinformatics 18, 1-12, 2017 | 92 | 2017 |
Bayesian models for functional magnetic resonance imaging data analysis L Zhang, M Guindani, M Vannucci Wiley Interdisciplinary Reviews: Computational Statistics 7 (1), 21-41, 2015 | 91 | 2015 |
A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration BJ Reich, J Eidsvik, M Guindani, AJ Nail, AM Schmidt The Annals of Applied Statistics 5 (4), 2425-2447, 2011 | 76* | 2011 |
Role of Increased n-acetylaspartate Levels in Cancer B Zand, RA Previs, NM Zacharias, R Rupaimoole, T Mitamura, ... Journal of the National Cancer Institute 108 (6), djv426, 2016 | 75 | 2016 |
A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses L Zhang, M Guindani, F Versace, M Vannucci NeuroImage 95, 162-175, 2014 | 74 | 2014 |
A Bayesian approach for estimating dynamic functional network connectivity in fMRI data R Warnick, M Guindani, E Erhardt, E Allen, V Calhoun, M Vannucci Journal of the American Statistical Association 113 (521), 134-151, 2018 | 73 | 2018 |
A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data L Zhang, M Guindani, F Versace, JM Engelmann, M Vannucci | 66 | 2016 |
A Bayesian discovery procedure M Guindani, P Müller, S Zhang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 66 | 2009 |
Time-dependence of graph theory metrics in functional connectivity analysis S Chiang, A Cassese, M Guindani, M Vannucci, HJ Yeh, Z Haneef, ... NeuroImage 125, 601-615, 2016 | 60 | 2016 |
Body image screening for cancer patients undergoing reconstructive surgery MC Fingeret, S Nipomnick, M Guindani, D Baumann, M Hanasono, ... Psycho‐oncology 23 (8), 898-905, 2014 | 59 | 2014 |
Bayesian vector autoregressive model for multi‐subject effective connectivity inference using multi‐modal neuroimaging data S Chiang, M Guindani, HJ Yeh, Z Haneef, JM Stern, M Vannucci Human brain mapping 38 (3), 1311-1332, 2017 | 55 | 2017 |
Incidence of atypical femur fractures in cancer patients: the MD Anderson Cancer Center experience BJ Edwards, M Sun, DP West, M Guindani, YH Lin, H Lu, M Hu, ... Journal of Bone and Mineral Research 31 (8), 1569-1576, 2016 | 52 | 2016 |