Selected article for: "Poisson regression model and regression model"

Author: Schanzer, Dena L.; Garner, Michael J.; Hatchette, Todd F.; Langley, Joanne M.; Aziz, Samina; Tam, Theresa W. S.
Title: Estimating Sensitivity of Laboratory Testing for Influenza in Canada through Modelling
  • Document date: 2009_8_18
  • ID: 06boh550_7
    Snippet: The Poisson regression model with a linear link function was estimated using SAS [24] PROC GENMOD: Coefficients b 5 to b 9 are multipliers. The weekly number of influenza negative tests estimated to be falsely negative is given by b 5 InflA w +b 6 InflB w . The weekly number of influenza negative tests attributed to RSV is given by b 7 RSVp w. , and similarly for adenovirus and PIV. For each positive influenza A test, an additional b 5 tests abov.....
    Document: The Poisson regression model with a linear link function was estimated using SAS [24] PROC GENMOD: Coefficients b 5 to b 9 are multipliers. The weekly number of influenza negative tests estimated to be falsely negative is given by b 5 InflA w +b 6 InflB w . The weekly number of influenza negative tests attributed to RSV is given by b 7 RSVp w. , and similarly for adenovirus and PIV. For each positive influenza A test, an additional b 5 tests above baseline were performed and found to be negative. By specifying a linear link, a value of 0.33, say, for coefficient b 5 , means that for every test for which influenza A was confirmed, 0.33 additional tests, on average, were performed on truly influenza A positive specimens and found to be negativewhich corresponds to a sensitivity of 75%.

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