收集《因果推理》名人名言让我们在失败中重生再创辉煌
"Always be transparent about the limitations of your study."
"The difference between correlation and causation is fundamental in empirical work."
相关性和因果关系之间的区别在实证工作中是根本性的。
"Good research is about asking the right questions, not just applying fancy methods."
好的研究在于提出正确的问题,而不仅仅是应用花哨的方法。
"The credibility of your results depends on the plausibility of your identifying assumptions."
"In observational studies, we often have to rely on assumptions that are not directly testable."
在观察性研究中,我们常常不得不依赖于无法直接检验的假设。
"Causal inference requires careful thought about the assumptions underlying your analysis."
"The key to good research is not just the method, but the clarity of the question and the quality of the data."
"Matching methods can be a powerful tool when randomization is not possible."
当随机化不可行时,匹配方法可以是一个强大的工具。
"Randomized experiments are the gold standard for causal inference, but they are not always feasible."
"The most important thing in empirical work is to be clear about the question you are trying to answer."