Joseph D Ramsey
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Explore the profile of Joseph D Ramsey including associated specialties, affiliations and a list of published articles.
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9
Citations
1111
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Recent Articles
1.
Ramsey J, Andrews B
Proc Mach Learn Res
. 2024 Aug;
223:40-51.
PMID: 39132453
We give novel Python and R interfaces for the (Java) Tetrad project for causal modeling, search, and estimation. The Tetrad project is a mainstay in the literature, having been under...
2.
Sanchez-Romero R, Ramsey J, Zhang K, Glymour M, Huang B, Glymour C
Netw Neurosci
. 2019 Feb;
3(2):274-306.
PMID: 30793083
We test the adequacies of several proposed and two new statistical methods for recovering the causal structure of systems with feedback from synthetic BOLD time series. We compare an adaptation...
3.
Sedgewick A, Buschur K, Shi I, Ramsey J, Raghu V, Manatakis D, et al.
Bioinformatics
. 2018 Sep;
35(7):1204-1212.
PMID: 30192904
Motivation: Integration of data from different modalities is a necessary step for multi-scale data analysis in many fields, including biomedical research and systems biology. Directed graphical models offer an attractive...
4.
Raghu V, Ramsey J, Morris A, Manatakis D, Sprites P, Chrysanthis P, et al.
Int J Data Sci Anal
. 2018 Aug;
6(1):33-45.
PMID: 30148202
Modern technologies allow large, complex biomedical datasets to be collected from patient cohorts. These datasets are comprised of both continuous and categorical data ("Mixed Data"), and essential variables may be...
5.
Mumford J, Ramsey J
Neuroimage
. 2013 Oct;
86:573-82.
PMID: 24140939
Bayesian network analysis is an attractive approach for studying the functional integration of brain networks, as it includes both the locations of connections between regions of the brain (functional connectivity)...
6.
Ramsey J, Sanchez-Romero R, Glymour C
Neuroimage
. 2013 Oct;
84:986-1006.
PMID: 24099845
We consider several alternative ways of exploiting non-Gaussian distributional features, including some that can in principle identify direct, positive feedback relations (graphically, 2-cycles) and combinations of methods that can identify...
7.
Ramsey J, Hanson S, Glymour C
Neuroimage
. 2011 Jul;
58(3):838-48.
PMID: 21745580
Smith et al. report a large study of the accuracy of 38 search procedures for recovering effective connections in simulations of DCM models under 28 different conditions. Their results are...
8.
Smith S, Miller K, Salimi-Khorshidi G, Webster M, Beckmann C, Nichols T, et al.
Neuroimage
. 2010 Sep;
54(2):875-91.
PMID: 20817103
There is great interest in estimating brain "networks" from FMRI data. This is often attempted by identifying a set of functional "nodes" (e.g., spatial ROIs or ICA maps) and then...
9.
Burgansky-Eliash Z, Wollstein G, Chu T, Ramsey J, Glymour C, Noecker R, et al.
Invest Ophthalmol Vis Sci
. 2005 Oct;
46(11):4147-52.
PMID: 16249492
Purpose: Machine-learning classifiers are trained computerized systems with the ability to detect the relationship between multiple input parameters and a diagnosis. The present study investigated whether the use of machine-learning...