Bayesian Computation for Log-Gaussian Cox Processes: A Comparative Analysis of Methods

Por Teng, Ming, Nathoo, Farouk S., Johnson, Timothy D.
Publicado no J Stat Comput Simul (2017)

Cluster Mass Inference via Random Field Theory

Por Zhang, Hui, Nichols, Thomas E., Johnson, Timothy D.
Publicado em 2008

A Bayesian approach to modeling associations between pulsatile hormones

Por Carlson, Nichole E., Johnson, Timothy D., Brown, Morton B.
Publicado em 2009

Using Cox cluster processes to model latent pulse location patterns in hormone concentration data

Por Carlson, Nichole E., Grunwald, Gary K., Johnson, Timothy D.
Publicado no Biostatistics (2016)

The coordinate-based meta-analysis of neuroimaging data

Por Samartsidis, Pantelis, Montagna, Silvia, Nichols, Thomas E., Johnson, Timothy D.
Publicado no Stat Sci (2017)

QUANTITATIVE MAGNETIC RESONANCE IMAGE ANALYSIS VIA THE EM ALGORITHM WITH STOCHASTIC VARIATION

Por Zhang, Xiaoxi, Johnson, Timothy D., Little, Roderick J. A., Cao, Yue
Publicado em 2008

Modeling inter-subject variability in fMRI activation location: A Bayesian hierarchical spatial model

Por Xu, Lei, Johnson, Timothy D., Nichols, Thomas E., Nee, Derek E.
Publicado em 2009

A Bayesian Image Analysis of Radiation Induced Changes in Tumor Vascular Permeability

Por Zhang, Xiaoxi, Johnson, Timothy D., Little, Roderick J. A., Cao, Yue
Publicado em 2010

Longitudinal Image Analysis of Tumor/Healthy Brain Change in Contrast Uptake Induced by Radiation

Por Zhang, Xiaoxi, Johnson, Timothy D., Little, Roderick J. A., Cao, Yue
Publicado em 2010

Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point Processes

Por Kang, Jian, Johnson, Timothy D., Nichols, Thomas E., Wager, Tor D.
Publicado em 2011

A Bayesian Non-Parametric Potts Model with Application to Pre-Surgical FMRI Data

Por Johnson, Timothy D., Liu, Zhuqing, Bartsch, Andreas J., Nichols, Thomas E.
Publicado em 2012

A BAYESIAN HIERARCHICAL SPATIAL POINT PROCESS MODEL FOR MULTI-TYPE NEUROIMAGING META-ANALYSIS

Por Kang, Jian, Nichols, Thomas E., Wager, Tor D., Johnson, Timothy D.
Publicado no Ann Appl Stat (2014)

Pre-Surgical fMRI Data Analysis Using a Spatially Adaptive Conditionally Autoregressive Model

Por Liu, Zhuqing, Berrocal, Veronica J., Bartsch, Andreas J., Johnson, Timothy D.
Publicado no Bayesian Anal (2015)

A space-time point process model for analyzing and predicting case patterns of diarrheal disease in northwestern Ecuador

Por Ahn, Jaeil, Johnson, Timothy D., Bhavnani, Darlene, Eisenberg, Joseph N.S., Mukherjee, Bhramar
Publicado em 2014

PePr: a peak-calling prioritization pipeline to identify consistent or differential peaks from replicated ChIP-Seq data

Por Zhang, Yanxiao, Lin, Yu-Hsuan, Johnson, Timothy D., Rozek, Laura S., Sartor, Maureen A.
Publicado em 2014

ANALYSIS OF MULTIPLE SCLEROSIS LESIONS VIA SPATIALLY VARYING COEFFICIENTS

Por Ge, Tian, Müller-Lenke, Nicole, Bendfeldt, Kerstin, Nichols, Thomas E., Johnson, Timothy D.
Publicado no Ann Appl Stat (2014)

Spatial Bayesian Latent Factor Regression Modeling of Coordinate-based Meta-analysis Data

Por Montagna, Silvia, Wager, Tor, Barrett, Lisa Feldman, Johnson, Timothy D., Nichols, Thomas E.
Publicado no Biometrics (2017)

Meta-analysis of functional neuroimaging studies of emotion perception and experience in schizophrenia

Por Taylor, Stephan F., Kang, Jian, Brege, Inga S., Tso, Ivy F., Hosanagar, Avinash, Johnson, Timothy D.
Publicado em 2011

Diffusion Tensor MRI of the Corpus Callosum in Amyotrophic Lateral Sclerosis

Por Chapman, Molly C., Jelsone-Swain, Laura, Johnson, Timothy D., Gruis, Kirsten L., Welsh, Robert C.
Publicado em 2013

Macroscopic Stiffness of Breast Tumors Predicts Metastasis

Por Fenner, Joseph, Stacer, Amanda C., Winterroth, Frank, Johnson, Timothy D., Luker, Kathryn E., Luker, Gary D.
Publicado em 2014