eagle-i University of Texas at El PasoUniversity of Texas at El Paso
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Statistical support services

eagle-i ID

http://utep.eagle-i.net/i/00000134-c8e3-35d2-bfc0-fe9780000000

Resource Type

  1. Support service

Properties

  1. Fee for service
    Yes
  2. Resource Description
    "Services include: * Planning sample sizes so the minimum number of experimental units are used to achieve a specified level of power or predictive ability; * Specifying models for related hypothesis in terms of estimable quantities; * Randomizing experimental units when appropriate; * Analyzing data, checking for validity of assumptions required by certain statistical methods; * Modifying or creating statistical methodology when basic assumptions required for validity of the existing statistical methodology are violated; * Interpreting the results; * Teaching the graduate Biostatistics core course for the Biological Sciences Department; and * Research proposal development and protocol review. Close long-term working relationships between statisticians and biomedical researchers will be nurtured with release time from teaching, summer salary, and travel support. Computing support is provided by a network manager who assists with hardware selection and maintenance, spread sheet design for creation of electronic databases, database management and backups, and homepage design and maintenance for recruitment of students to careers in the health sciences. SCL computing facilities are to be maintained with up-to-date software and hardware."
  3. Service Fee URL
    http://academics.utep.edu/Default.aspx?tabid=37008
  4. Service Provided by
    Statistical Consulting Laboratory
  5. ERO_0001053
    No
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    efleming
  3. created
    2012-01-10T12:32:17.805-06:00
  4. creator
    rgarces
  5. modified
    2012-04-26T17:48:47.889-05:00

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016