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Logistic regression models explaining exposure of 315 white-tailed deer (Odocoileus virginianus) to parainfluenza 3 virus within two sites in Wisconsin, USA, from 2010–2013.

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Figshare2015-12-03 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Logistic_regression_models_explaining_exposure_of_315_white_tailed_deer_Odocoileus_virginianus_to_parainfluenza_3_virus_within_two_sites_in_Wisconsin_USA_from_2010_2013_/1432146
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aCS = capture site; CY = capture year; LT = land type (public vs. private); Age = deer age; Sex = male or female; LP = Exposure to L. i. pomona; IBR = exposure to infectious bovine rhinotracheitis virus.b Akaike’s Information Criterion corrected for small sample size [33].c Difference in AICc relative to minimum AIC.d Akaike weight [33].e Number of parameters.f Receiver Operating Curve.Logistic regression models explaining exposure of 315 white-tailed deer (Odocoileus virginianus) to parainfluenza 3 virus within two sites in Wisconsin, USA, from 2010–2013.
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2015-12-03
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