Principal components analysis dimensions were set as covariates in a logistic regression model to show the predictive effect of each dimension on the outcome of receiving a health score <80.
收藏Figshare2016-04-04 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Principal_components_analysis_dimensions_were_set_as_covariates_in_a_logistic_regression_model_to_show_the_predictive_effect_of_each_dimension_on_the_outcome_of_receiving_a_health_score_80_/3152233
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The confidence intervals show that as keywords add weight to dimensions those dimensions are associated with corresponding increase or decrease in odds of low health score within the stated confidence interval.
创建时间：
2016-04-04
