Name: Chris Kennedy
Type: User
Company: Harvard Medical School, Mass General Hospital
Bio: Psychiatry faculty; biostatistics PhD. {Targeted, deep, machine} learning, NLP, IRT, computer vision, exposure mixtures, EHRs.
Twitter: c3K
Location: Boston, MA
Blog: https://ck37.com
Chris Kennedy's Projects
Targeted learning entry for the Atlantic Causal Inference Conference's 2018 data challenge
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
Brain tumor segmentation for MICCAI 2017 BraTS challenge
R package for estimating quantile treatment effects
Article under review
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
Estimate sentiment in clinical notes via keywords or deep learning models
A concise introduction to R programming and data analysis
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
Constituent statistics report for Blue State Digital CRM, for new media teams.
Library and commandline tool for managing datasets on darwin.v7labs.com
Decision Curve Analysis
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
š²š BART species distribution models š š²
Fast glm fitting via RcppEigen
Ensemble feature ranking for SuperLearner variable selection
Automated garden system for my office
Add a file of emails into a gmail contact list.
Geocodes a text file using the Google Maps API.
This is a read-only mirror of the Bioconductor SVN repository. PackageĀ Homepage:Ā http://bioconductor.org/packages/devel/bioc/html/hopach.html Contributions:Ā http://www.stat.berkeley.edu/~laan/, http://docpollard.org/. BugĀ Reports:Ā https://support.bioconductor.org/p/new/post/?tag_val=hopach.
Multicore and multi-node parallel R computation via SLURM on the Savio cluster at UC Berkeley, plus XSEDE
Horvitz-Thompson estimator for RCTs, with Joel Middleton
iml: interpretable machine learning R package
Customization of Houtao Deng's inTrees-STEL analysis
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Kaiser Permanente Data Science Competition 2018
Longitudinal Targeted Maximum Likelihood Estimation package
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles