Phillip Good

Phillip Good Email and Phone Number

sir at http://statcourse.com @
Phillip Good's Location
Huntington Beach, California, United States, United States
Phillip Good's Contact Details

Phillip Good personal email

About Phillip Good

Specialties: mathematical statistics (resampling methods, clinical trials), cosmology, fiction, cell biology

Phillip Good's Current Company Details
http://statcourse.com

Http://Statcourse.Com

sir at http://statcourse.com
Phillip Good Work Experience Details
  • Http://Statcourse.Com
    Instructor
    Http://Statcourse.Com Sep 2007 - Present
  • Infromation Research
    Operations Manager
    Infromation Research 1980 - 2010
  • Talus Solutions
    Statistician
    Talus Solutions 2000 - 2001
  • Claremont Graduate University
    Visiting Professor
    Claremont Graduate University 1990 - 1991
    View
  • The Upjohn Company
    Biostatistician
    The Upjohn Company Jun 1974 - Jun 1980
    Kalamazoo, Michigan Area

Phillip Good Skills

Mathematics R Clinical Trials Cell Biology Epidemiology Predictive Modeling Data Management Genomics Matlab Data Analysis Clinical Research Biotechnology Modeling Life Sciences Biostatistics Solutions Cosmology Time Series Analysis Sas Stata Lifesciences Bioinformatics Qualitative Research Sas Programming Bootstrapping Fiction Research Genetics Science Research Design Analytics Statistical Modeling Statistics R&d Analysis Sas/sql Data Mining

Phillip Good Education Details

Frequently Asked Questions about Phillip Good

What company does Phillip Good work for?

Phillip Good works for Http://statcourse.com

What is Phillip Good's role at the current company?

Phillip Good's current role is sir at http://statcourse.com.

What is Phillip Good's email address?

Phillip Good's email address is br****@****hoo.com

What schools did Phillip Good attend?

Phillip Good attended University Of California, Berkeley, Mcgill University.

What skills is Phillip Good known for?

Phillip Good has skills like Mathematics, R, Clinical Trials, Cell Biology, Epidemiology, Predictive Modeling, Data Management, Genomics, Matlab, Data Analysis, Clinical Research, Biotechnology.

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