Michele Guindani
Cited by
Cited by
Generalized spatial Dirichlet process models
JA Duan, M Guindani, AE Gelfand
Biometrika 94 (4), 809-825, 2007
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
Hybrid Dirichlet processes for functional data
S Petrone, M Guindani, AE Gelfand
Journal of the Royal Statistical Society Series B, 2009
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
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
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), 1-14, 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
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
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
A Bayesian discovery procedure
M Guindani, P Müller, S Zhang
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009
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), 1-12, 2017
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
A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data
L Zhang, M Guindani, F Versace, JM Engelmann, M Vannucci
The Annals of Applied Statistics 10 (2), 638-666, 2016
Role of Increased n-acetylaspartate Levels in Cancer
B Zand, RA Previs, NM Zacharias, R Rupaimoole, T Mitamura, ...
JNCI: Journal of the National Cancer Institute 108 (6), 2016
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
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
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
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
An integrative Bayesian modeling approach to imaging genetics
FC Stingo, M Guindani, M Vannucci, VD Calhoun
Journal of the American Statistical Association 108 (503), 876-891, 2013
Quality of life among long-term survivors of advanced stage ovarian cancer: A cross-sectional approach
SK Lutgendorf, E Shinn, J Carter, S Leighton, K Baggerly, M Guindani, ...
Gynecologic oncology 146 (1), 101-108, 2017
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