Kristin Linn
Kristin Linn
Assistant Professor of Biostatistics, University of Pennsylvania
Verified email at pennmedicine.upenn.edu
Title
Cited by
Cited by
Year
Structural brain abnormalities in youth with psychosis spectrum symptoms
TD Satterthwaite, DH Wolf, ME Calkins, SN Vandekar, G Erus, K Ruparel, ...
JAMA psychiatry 73 (5), 515-524, 2016
962016
Interactive model building for Q-learning
EB Laber, KA Linn, LA Stefanski
Biometrika 101 (4), 831-847, 2014
592014
Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data
M Yu, KA Linn, PA Cook, ML Phillips, M McInnis, M Fava, MH Trivedi, ...
Human brain mapping 39 (11), 4213-4227, 2018
472018
Volumetric analysis from a harmonized multisite brain MRI study of a single subject with multiple sclerosis
RT Shinohara, J Oh, G Nair, PA Calabresi, C Davatzikos, J Doshi, ...
American Journal of Neuroradiology 38 (8), 1501-1509, 2017
432017
Interactive Q-Learning for Quantiles
KA Linn, EB Laber, LA Stefanski
Journal of the American Statistical Association 112 (518), 638-649, 2017
282017
Comparative effectiveness of less commonly used systemic monotherapies and common combination therapies for moderate to severe psoriasis in the clinical setting
J Takeshita, S Wang, DB Shin, KC Duffin, GG Krueger, RE Kalb, ...
Journal of the American Academy of Dermatology 71 (6), 1167-1175, 2014
282014
The extent and drivers of gender imbalance in neuroscience reference lists
JD Dworkin, KA Linn, EG Teich, P Zurn, RT Shinohara, DS Bassett
arXiv preprint arXiv:2001.01002, 2020
262020
MIMoSA: an automated method for intermodal segmentation analysis of multiple sclerosis brain lesions
AM Valcarcel, KA Linn, SN Vandekar, TD Satterthwaite, J Muschelli, ...
Journal of Neuroimaging 28 (4), 389-398, 2018
262018
Childhood trauma history is linked to abnormal brain connectivity in major depression
M Yu, KA Linn, RT Shinohara, DJ Oathes, PA Cook, R Duprat, TM Moore, ...
Proceedings of the National Academy of Sciences 116 (17), 8582-8590, 2019
222019
Cognitive behavioral therapy is associated with enhanced cognitive control network activity in major depression and posttraumatic stress disorder
Z Yang, DJ Oathes, KA Linn, SE Bruce, TD Satterthwaite, PA Cook, ...
Biological psychiatry: cognitive neuroscience and neuroimaging 3 (4), 311-319, 2018
222018
Addressing confounding in predictive models with an application to neuroimaging
KA Linn, B Gaonkar, J Doshi, C Davatzikos, RT Shinohara
The international journal of biostatistics 12 (1), 31-44, 2016
192016
Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine
KA Linn, B Gaonkar, TD Satterthwaite, J Doshi, C Davatzikos, ...
NeuroImage 132, 157-166, 2016
182016
Traumatic brain injury in Africa in 2050: a modeling study
JC Wong, KA Linn, RT Shinohara, FJ Mateen
European journal of neurology 23 (2), 382-386, 2016
182016
Association between the implementation of a population-based primary care payment system and achievement on quality measures in Hawaii
AS Navathe, EJ Emanuel, A Bond, K Linn, K Caldarella, A Troxel, J Zhu, ...
Jama 322 (1), 57-68, 2019
132019
Chapter 15: Estimation of dynamic treatment regimes for complex outcomes: Balancing benefits and risks
KA Linn, EB Laber, LA Stefanski
Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing …, 2015
132015
Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD
Z Yang, S Gu, N Honnorat, KA Linn, RT Shinohara, I Aselcioglu, S Bruce, ...
Molecular psychiatry 23 (12), 2314-2323, 2018
102018
An automated statistical technique for counting distinct multiple sclerosis lesions
JD Dworkin, KA Linn, I Oguz, GM Fleishman, R Bakshi, G Nair, ...
American Journal of Neuroradiology 39 (4), 626-633, 2018
102018
Assessment of Medicaid beneficiaries included in community engagement requirements in Kentucky
AS Venkataramani, EF Bair, E Dixon, KA Linn, W Ferrell, M Montgomery, ...
JAMA network open 2 (7), e197209-e197209, 2019
92019
Subgroups of high-cost Medicare advantage patients: an Observational Study
BW Powers, J Yan, J Zhu, KA Linn, SH Jain, JL Kowalski, AS Navathe
Journal of general internal medicine 34 (2), 218-225, 2019
92019
Applying machine learning algorithms to segment high-cost patient populations
J Yan, KA Linn, BW Powers, J Zhu, SH Jain, JL Kowalski, AS Navathe
Journal of general internal medicine 34 (2), 211-217, 2019
72019
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