The two most parsimonious and fit build binary logistic regression models and respective key SF-APT variables explaining falling and falling recurrently (falling vs. non-falling model: N = 347; falling recurrently vs. non-falling model: N = 263).
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The two most parsimonious and fit build binary logistic regression models and respective key SF-APT variables explaining falling and falling recurrently (falling vs. non-falling model: N = 347; falling recurrently vs. non-falling model: N = 263).
创建时间：
2020-10-08
