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Big Data Analytics Core

CRO / CDMO · United States

Mining electronic health records data, text mining and automated knowledge extraction and statistical approaches to real world evidence.

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What they do

Services
  • Mining electronic health records data
  • Text mining and automated knowledge extraction
  • Statistical approaches to real world evidence
  • Design and analysis of modern clinical trials
  • Efficient Identification of Predictive Markers
  • Risk Prediction under Efficient Two-phase Study Designs
  • Machine Learning Approaches to Risk Prediction
  • Quantifying Prediction Performance
  • Surrogate Endpoint
  • Efficient Estimation of Treatment Effects
  • Individualized Treatment Effect Estimation
  • Large Scale Hypothesis Testing
  • Matrix Completion
  • Statistical Inference with High Dimensional Data
  • CHANL
  • EXTEND
  • NILE
  • MASTA
  • SAMGEP
  • Scornet
  • KESER
  • sureLDA
  • MAP
  • PheNorm
  • PheCAP
  • SRAT
  • Dcalasso
  • Solid
  • StructureMC
  • survNRI
  • survMarkerTwoPhase
  • survCompetingRisk
  • survAccuracyMeasures
  • PanelCurrentStatus
  • SurrogateTest
  • SurrogateOutcome
  • OptimalSurrogate
  • CHANL chart review
  • EXTEND numerical extraction
  • NILE natural language processing