Multivariable logistic regression model for schizophrenia.
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https://figshare.com/articles/dataset/_Multivariable_logistic_regression_model_for_schizophrenia_/671415
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资源简介:
SE: standard error; CI: confidence interval.
Gating is defined as a dichotomous variable: P50 gating ratio greater than 0.4 or not.
Smoke is defined as a dichotomous variable: smoking or not.
a Wald chi-square tests.
bP-values were 2-sided.
Multivariable logistic regression model: n = 160, percentage of concordant pairs = 90.4%, percentage of discordant pairs = 9.6%, c statistic = 0.9043, Hosmer-Lemeshow Goodness-of-Fit test p = .640>.05 (df = 8).
The estimated probability of having schizophrenia (the predicted value, ) can be obtained by using the following formula:
where Gating equals 1 if P50 gating ratio >0.4, and 0 otherwise; Smoke equals 1 if smoking, and 0 otherwise.
创建时间:
2013-02-27



