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A multi-level logistic regression was performed using age, gender, education, literacy, and income to predict mobile phone ownership.

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NIAID Data Ecosystem2026-03-07 收录
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The coefficient, odds ratio (OR), standard error, z-value, and p-value for each regressor are shown below. Education was the strongest predictor of mobile phone ownership, whereas income and age had little predictive ability.

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2012-04-25
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