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Aaron J Fisher
Aaron J Fisher
Foundation Medicine
Verified email at alumni.jh.edu - Homepage
Title
Cited by
Cited by
Year
All models are wrong, but many are useful: Learning a variable’s importance by studying an entire class of prediction models simultaneously
A Fisher, C Rudin, F Dominici
Journal of Machine Learning Research 20 (177), 1-81, 2019
1559*2019
Visually communicating and teaching intuition for influence functions
A Fisher, EH Kennedy
The American Statistician 75 (2), 162-172, 2021
452021
Fast, Exact Bootstrap Principal Component Analysis for p > 1 Million
A Fisher, B Caffo, B Schwartz, V Zipunnikov
Journal of the American Statistical Association 111 (514), 846-860, 2016
342016
A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer
RY Coley, AJ Fisher, M Mamawala, HB Carter, KJ Pienta, SL Zeger
Biometrics 73 (2), 625-634, 2017
322017
Multiple testing procedures for adaptive enrichment designs: combining group sequential and reallocation approaches
M Rosenblum, T Qian, Y Du, H Qiu, A Fisher
Biostatistics 17 (4), 650-662, 2016
292016
A randomized trial in a massive online open course shows people don’t know what a statistically significant relationship looks like, but they can learn
A Fisher, GB Anderson, R Peng, J Leek
PeerJ 2, e589, 2014
172014
Big Data and Neuroimaging
Y Webb-Vargas, S Chen, A Fisher, A Mejia, Y Xu, C Crainiceanu, B Caffo, ...
Statistics in biosciences 9 (2), 543-558, 2017
112017
Stochastic optimization of adaptive enrichment designs for two subpopulations
A Fisher, M Rosenblum, Alzheimer’s Disease Neuroimaging Initiative
Journal of biopharmaceutical statistics 28 (5), 966-982, 2018
72018
SAFFRON and LORD Ensure Online Control of the False Discovery Rate Under Positive Dependence
A Fisher
arXiv preprint arXiv:2110.08161, 2021
5*2021
Sensitivity of adaptive enrichment trial designs to accrual rates, time to outcome measurement, and prognostic variables
T Qian, E Colantuoni, A Fisher, M Rosenblum, ...
Contemporary clinical trials communications 8, 39-48, 2017
4*2017
Fast Out-of-Sample Predictions for Bayesian Hierarchical Models of Latent Health States
AJ Fisher, RY Coley, SL Zeger
arXiv preprint arXiv:1510.08802, 2015
42015
Three-way Cross-Fitting and Pseudo-Outcome Regression for Estimation of Conditional Effects and other Linear Functionals
A Fisher, V Fisher
arXiv preprint arXiv:2306.07230, 2023
22023
Online Control of the False Discovery Rate under "Decision Deadlines"
AJ Fisher
International Conference on Artificial Intelligence and Statistics, 8340-8359, 2022
22022
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
A Fisher
arXiv preprint arXiv:2307.09700, 2023
12023
PD08-01 PREDICTION OF THE CANCER STATE TO INFORM A PERSONALIZED MANAGEMENT PROGRAM FOR PROSTATE CANCER
R Coley, A Fisher, M Mamawala, K Pienta, S Zeger, HB Carter
The Journal of Urology 195 (4S), e228-e228, 2016
12016
Optimizing Rescoring Rules with Interpretable Representations of Long-Term Information
A Fisher
arXiv preprint arXiv:2104.14291, 2021
2021
Treatment effect bias from sample snooping: blinding outcomes is neither necessary nor sufficient
A Fisher
arXiv preprint arXiv:2007.02514, 2020
2020
Methods for High Dimensional Analysis, Multiple Testing, and Visual Exploration
AJ Fisher
Johns Hopkins University, 2016
2016
A Bayesian Hierarchical Model for Prediction of Latent Health States from Multiple Data Sources with Application to Active Surveillance of Prostate Cancer
R Yates Coley, AJ Fisher, M Mamawala, H Ballentine Carter, KJ Pienta, ...
arXiv e-prints, arXiv: 1508.07511, 2015
2015
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