因果推断

  • 网络causal inference;relating cause and effect
因果推断因果推断
  1. 本文也进行了这方面的探讨,在暴露为强可忽略的假设下,建立了因果推断的多维结构回归模型来估计总体平均因果效应。

    This dissertation also discuss the problem of this aspect . A multidimensional structural regression model for causal inference is established to estimate the population average treatment effect under strongly ignorable treatment assignment .

  2. 探讨流行病学研究的因果推断中处理分配机制的假定,暴露作用评价中对照组的模型假定,以及不完全数据分析中缺失数据机制的假定。

    Assumption of treatment assignment in causal inference of epidemiological studies , assumption of control group in evaluation of exposure effects , and assumption of missing data mechanisms in incomplete data analysis were also discussed .

  3. 含隐变量和选择偏差的图模型中的因果推断

    Causal Inference in the Models with Hidden Variables and Selection Bias

  4. 我们进行因果推断,不具有必然性,只具有或然性,我们进行因果推断是由于习惯而发生的。

    Causal reasoning has probability , not necessity .

  5. 因果推断中的混杂控制

    Control of Confounding in Causal Inference

  6. 中医药临床疗效评价因果关联推断的探讨

    General Contemplation on Causality in Appraising Clinical Efficacy of Traditional Chinese Medicine

  7. 因果关系推断专项训练因果关系对类别特征推理及典型性判断的影响

    The Effect of Causal Relations on Category Feature Inference and Typicality Judgement

  8. 研究结果表明:(1)其它可能原因会影响到被试利用因果共变信息而进行的因果推断。

    The results were as follows : ( 1 ) alternative causes did affect subjects ' causal induction based on covariation ;