html5-img
1 / 17

Why Statistics? Why Biostatistics?

Building a Better Twinkie — A Mixture Design Problem Katherine L. Monti, Ph.D. r Principal Statistical Scientist, Rho, Inc. k March 12, 2011. Why Statistics? Why Biostatistics?. Math     Earning power $ $ $ was not in math Variety of non-math courses

aysha
Télécharger la présentation

Why Statistics? Why Biostatistics?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Building a Better Twinkie—A Mixture Design ProblemKatherine L. Monti, Ph.D.r Principal Statistical Scientist, Rho, Inc. kMarch 12, 2011

  2. Why Statistics? Why Biostatistics? • Math     • Earning power $ $ $ was not in math • Variety of non-math courses • Math + Applications Statistics • Forestry, biology, education, anthropology, finance and economics, sociology, manufacturing, advertising, …. • Epidemiology, health sciences, medicine, drug development,

  3. Where I’ve Been and Why • UNC Sch. of Public Health -- Chapel Hill • University of Missouri - St. Louis Department of Mathematics & Computer Science • Ralston Purina Company • Ciba Corning Diagnostics Corporation • Astra Pharmaceuticals • Rho, Inc. • Along the way – a little independent consulting

  4. I wanted variety • I got variety! • Some of the projects I’ve worked on over the decades.

  5. Projects • Energy review system (Ralston) • Simple review of energy usage, external temperature, and production saved millions of dollars a year per plant Energy use = a + b (external temperature) + c (tons*) * Tons of pet food or cereal produced

  6. Projects • Effects of weight gain restriction in Labrador retrievers (Ralston): DG448—only long-term, large mammal study investigating the health and longevity advantages of lean body mass (achieved in dogs by diet restriction)

  7. Projects • Feline reproduction (Ralston): a publication of simple summary of data from Ralston cattery has become a classic paper in veterinary medicine

  8. Projects • Heritability of feline cardiomyopathy: 25 years of feline reproductive data, 7 generations of ancestors (27 = 128) • MMMMMMM - MMMMMM …. - MM - M • MMMMMMF - MMMMMF - MF - F • MMMMMFM - MMMMFM - FM • MMMMMFF - MMMMFF - FF • MMMMFMM … • MMMMFMF - FFFFFF • MMMMFFM • … • FFFFFFF

  9. Projects • Salary discrimination law suit (Independent consulting) • Fauteck vs Montgomery Ward, 1970’s and early ‘80s • Systematically paid women less • In general, women had more years of experience, longer time with the company, higher education…and a lower salary, for any job category • ~ $5,000,000 settlement

  10. Projects • Medical instrumentation (Ciba Corning) • Blood gas machines • Co-oximeters • PSA testing

  11. Projects • Drug studies (Astra, Rho): blood pressure, acute pain, chronic pain, kidney disease, Alzheimer’s, opioid-induced constipation, asthma, allergy, AIDS, autism, cancer, traumatic brain injury, arthritis, diabetes….

  12. Twinkies • Studying the ratio of emulsifiers in Hostess Twinkies for optimal springiness (Ralston/Continental Baking) • A mixture design • 3 emulsifiers make up a total of 5% of the recipe • How to decide the proportions of the emulsifiers

  13. Statisticians Have Variety • Opportunities exist in many fields • So....you can find one you like and go in that direction

  14. It is a great time to be a biostatistician! • http://www.biostatpharma.com • Google “biostatistics” “prospective student” • KMonti@RhoWorld.com

  15. When I graduated, I had no idea... • How much writing I would do and how valuable my high school grammar class would be. • That I should have taken more chemistry. • How important team work is.

  16. When I graduated, I had no idea... • How much the field of statistics would continue to grow. • How much you teach even when you don’t teach. • How valuable curiosity, common sense, and common courtesy are.

More Related