Frank Song, Ph.D., CPHQ, PMP, CHC, PAHM

Rancho Cucamonga, California, United States Contact Info
3K followers 500+ connections

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About

Proven track record of building and developing enterprise data and analytics strategies…

Activity

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Experience & Education

  • IEHP

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Licenses & Certifications

Publications

Courses

  • 2000 National Quality Colloquium : strategies to successfully design and implement patient safety innovations in hospitals, health plans, medical groups and ambulatory healthcare settings

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  • Advanced Predictive Modeling Using SAS Enterprise Miner

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  • Applications of Statistical Considerations in Health Economic Evaluations

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  • Best Practices in Enterprise Information Management

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  • DW/BI Lifecycle in Depth

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  • Data Mining: Data Understanding & Preparation

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  • Data Mining: Modeling

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  • Data Mining: Overview

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  • Data Mining: Visualization, Reporting, Deployment

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  • FastPitch Lean Six Sigma Simulation

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  • Foundation and Recent Advance in Longitudinal and Incomplete Data and in Joint Modeling

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  • Harvard Data Analysis for Life Sciences Series 1, Statistics and R

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  • Harvard Data Analysis for Life Sciences Series 2. Introduction to Linear Models and Matrix Algebra

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  • Harvard Data Analysis for Life Sciences Series 3, Models and Matrix Algebra Course Statistical Inference and Modeling for High-throughput Experiments Statistical Inference and Modeling for High-throughput Experiments

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  • Healthcare Management: An Introduction (AHM 250) Online Course & Exam

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  • Introduction to Bayesian Analysis Using SAS Software

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  • Modeling Selection with SAS/STAT Software

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  • Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS

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  • Partners in Leadership

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  • Predictive Modeling with SPSS Clementine

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  • Programming in R for Data Science

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  • SAS Macro Language

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  • SAS Macro Programming: Advanced Topics

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  • SAS Platform Administration 1: Essentials

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  • SAS(R) Enterprise Guide(R): Administration

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  • Statistical Considerations in Economic Evaluations

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  • Teradata Aster 6.01 Big Data Analytics

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Languages

  • Chinese

    Native or bilingual proficiency

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