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Christopher Masaya Quale, 531516 Fountain St, Alameda, CA 94501

Known as:
Christopher M Quale Christopher Masava Quale Christopher Te Quale Christopher Robles Quale Christopher A Quale Christopher J Quale Christopher Mayasa Quale Christophe M Quale Chris Quale Christphr Quale
Related to:
Elika Glenn

Christopher Quale Phones & Addresses

1516 Fountain St, Alameda, CA 94501   

Berkeley, CA   

2628 Mira Vista Dr, El Cerrito, CA 94530   

2650 Mira Vista Dr, Richmond, CA 94805   

Los Angeles, CA   

Oakland, CA   

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Christopher Masaya Quale
Christopher Masaya Quale

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Work

Company: Genomic health 2008 Position: Associate director, non-clinical biostatistics

Education

Degree: PhD, MA School / High School: University of California, Berkeley 1995 to 2001 Specialities: Biostatistics

Skills

Statistical Modeling • SAS • R • JMP • Career Development • Creative Problem Solving • Mentoring • Statistical Computing • Project Execution • Genomics • Medical Devices • Diagnostics • Survival Analysis • Pharmaceutical Industry • Biostatistics • Clinical Data Management • Validation • Lifesciences

Industries

Biotechnology
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Resumes & CV records

Resumes

Christopher Quale Photo 24

Associate Director, Biostatistics

Position:
Associate Director, Non-Clinical Biostatistics at Genomic Health
Location:
San Francisco Bay Area
Industry:
Biotechnology
Work:
Genomic Health since 2008
Associate Director, Non-Clinical Biostatistics
Education:
University of California, Berkeley 1995 - 2001
PhD, MA, Biostatistics University of California, Los Angeles 1989 - 1993
BA, Mathematics
Skills:
Statistical Modeling, SAS, R, JMP, Career Development, Creative Problem Solving, Mentoring, Statistical Computing, Project Execution, Genomics, Medical Devices, Diagnostics, Survival Analysis, Pharmaceutical Industry, Biostatistics, Clinical Data Management, Validation, Lifesciences

Publications & IP owners

Us Patents

Method And Apparatus For Analyzing A Patient Medical Information Database To Identify Patients Likely To Experience A Problematic Disease Transition

US Patent:
2002009, Jul 25, 2002
Filed:
Jul 29, 2001
Appl. No.:
09/917228
Inventors:
Eric Schwartz - San Francisco CA, US
Daniel Schwartz - San Francisco CA, US
Christopher Quale - Richmond CA, US
International Classification:
G06F007/00
US Classification:
707/001000
Abstract:
A method and apparatus for modeling disease transitions in individuals includes the steps of identifying a population of individuals and defining a disease transition they could undergo. One or more variables are defined that represent medical information collected from these individuals. These variables are considered candidate variables that operate to predict the disease transition to varying degrees of accuracy. A logistic regression technique, along with information stored in an electronic database, are used to determine the degree of accuracy to which each candidate variable predicts the disease transition for the population of individuals. Certain candidate variables are then chosen according to how accurately they predict the disease transition. This set of chosen variables is then used to form a mathematical model, which in turn is used to predict this disease transition for that population of individuals.

Possible Relatives

David M Quale  Ellen F Quale  Jennifer L Quale  Kelli L Quale  Marilyn Quale  Patricia A Quale  Steve W Quale  Christopher Johnson  Christopher Stamps  Christopher M Standifer 

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