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首页> 外文期刊>American journal of public health >Predicted Probabilities' Relationship to Inclusion Probabilities
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Predicted Probabilities' Relationship to Inclusion Probabilities

机译:预测概率与包含概率的关系

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It has been shown that under a general multiplicative intercept model for risk, case-control (retrospective) data can be analyzed by maximum likelihood as if they had arisen prospectiveiy, up to an unknown muitiplicative constant, which depends on the relative sampling fraction.1 With suitable auxiliary information, retrospective data can also be used to estimate response probabilities,2 In other words, predictive probabilities obtained without adjustments from retrospective data will likely be different from those obtained from prospective data. We highlighted this using binary data from Medicare to determine the probability of readmission into the hospital within 30 days of discharge, which is particularly timely because Medicare has begun penalizing hospitals for certain read missions.3
机译:已经表明,在一般的乘法截距模型下,可以通过最大似然分析案例控制(回顾性)数据,因为它们已经出现了未知的Muitive常数,这取决于相对采样分数.1 利用合适的辅助信息,回顾性数据也可用于估计响应概率,2换句话说,没有从回顾数据的情况下进行的预测概率可能与从预期数据中获得的那些不同。 我们强调了使用来自Medicare的二进制数据,以便在出院后30天内确定入院进入医院的概率,这尤其是及时的,因为Medicare已经开始惩罚某些读任务的医院。

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