Statistical Consulting
Statistical consulting is an essential part of the Quantitative Sciences
Group's (QSG) objective to provide quantitative tools for all aspects
of research from inception to completion. Researchers are encouraged
to meet with a statistician during all phases of the research project
including the design, data collection, analysis, interpretation and presentation
phases. Clients will be assumed to have a basic understanding of algebra,
probability and applied statistics in order to derive the maximum benefit
from consultation with a statistician.
Statistical consulting is most effective when clients work with statisticians
from the inception through the conclusion of a study. However, with an
accurate understanding of the study design, they can become involved after
a study has been started. However, statisticians cannot provide consulting
on analyses that are inappropriate for the study design.
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Consultation on study design at the start of a program
of study, sampling design, scope of inference and other issues, have
relevance to future statistical analyses.
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On-going consultations on statistical techniques during
the analysis phase of a program.
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On-going consultations on interpretation and inference,
and presentation of results.
Statistical Consultants can also:
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Review text concerning statistical methods and study
design.
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Guide clients to existing literary resources and course
offerings that will provide background that the client will need to
address statistical issues in his/her program of study. QSG statisticians
will not duplicate material presented in courses at OSU.
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Carry out statistical analyses for researchers under
a mutually agreed upon arrangement. Usually this arrangement is either
contractual or involves authorship and is available only as time permits.
This service is not available for any work related to a degree program.
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Provide programming assistance with SAS, S+ and other
statistical software.
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Students, faculty and staff in the Department of Forest Science
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The cost to the user depends on the type of user.
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Lisa M. Ganio, Asst. Professor, Forest Science
Education:
Ph.D, 1989, Statistics, Oregon State University; M.S., 1986, Statistics,
Oregon State University; B.A., 1982, Botany and Zoology, Humboldt State
University
Experience:
Lisa has worked as a statistical consultant for natural resources problems
since 1986. She has worked on projects with the USDA National Parks
System, Oregon Department of Fish and Wildlife, Northwest Statistical
Services, Pacific Wildlife Research, Oregon Department of Forestry and
as a contractor to the US EPA's Corvallis Environmental Research Lab.
She is currently on the faculty in the Department of Forest Science.
Manuela P. Huso, Sr. Faculty Research Assistant
Education:
M.S. 1988, Statistics, Oregon State University; M.S. 1984, Ecology,
University of Oregon; B.A. 1978, Biology, Whitman College.
Experience:
Manuela has worked as a statistical consultant on natural resources
problems since 1989. She has worked on projects involving spatial statistics,
sampling design, generalized linear models, model selection, survival
analysis, hierarchical models, and Leslie matrix transition models.
Her clients include the USDA Forest Service, City of Portland, City
of Eugene, Pacific Wildlife Research, Salix Associates, Duckcreek Associates
and others. She is currently on the faculty at Oregon State University
in the Department of Forest Science.
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