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GLM analysis of lesion size data.
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创建时间：
2016-07-12
相关数据集
Model estimates for predicting fecal hormone values.
Linear regression models included the explanatory variables found to be significant predictors. Possible fixed factors included: sex, age, age2, and month.
NIAID Data Ecosystem90
Mean and standard deviation of the z-score values calculates with CDC-LMS and GPR methods.
Mean and standard deviation of the z-score values calculates with CDC-LMS and GPR methods.
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ANCOVA results for the response variable percentage of oocysts in the adult and the explanatory variables of sex and parasite dosage, with covariates of wing length and time to emergence, and a random effect for microcosm.
ANCOVA results for the response variable percentage of oocysts in the adult and the explanatory variables of sex and parasite dosage, with covariates of wing length and time to emergence, and a random
NIAID Data Ecosystem20
Statistics of the regression models relating genome size with dN/dS and 16S rRNA as predictor variables using Generalized Least Square and Phylogenetic Least Square analyses.
We highlighted the models that were statistically significant (α = 0.05).
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Adjusted odds ratios for ischaemic stroke risk.
Full list of age/gender, and serum iron-adjusted odds ratios for ischaemic stroke risk for the specified variable, where an inverse association with stroke risk is indicated by an odds ratio 2 indicat
Figshare2015-12-02 更新30
