吉多·因本斯
因果關(guān)系分析方法
"Always be transparent about the limitations of your study."
"The difference between correlation and causation is fundamental in empirical work."
相關(guān)性和因果關(guān)系之間的區(qū)別在實(shí)證工作中是根本性的。
"Good research is about asking the right questions, not just applying fancy methods."
好的研究在于提出正確的問題，而不僅僅是應(yīng)用花哨的方法。
"The credibility of your results depends on the plausibility of your identifying assumptions."
你結(jié)果的可信度取決于你識(shí)別假設(shè)的合理性。
"In observational studies, we often have to rely on assumptions that are not directly testable."
在觀察性研究中，我們常常不得不依賴于無法直接檢驗(yàn)的假設(shè)。
"Causal inference requires careful thought about the assumptions underlying your analysis."
因果推理需要仔細(xì)思考分析背后的假設(shè)。
"The key to good research is not just the method, but the clarity of the question and the quality of the data."
好的研究關(guān)鍵不僅在于方法，還在于問題的清晰性和數(shù)據(jù)的質(zhì)量。
"Matching methods can be a powerful tool when randomization is not possible."
當(dāng)隨機(jī)化不可行時(shí)，匹配方法可以是一個(gè)強(qiáng)大的工具。
"Randomized experiments are the gold standard for causal inference, but they are not always feasible."
隨機(jī)實(shí)驗(yàn)是因果推理的黃金標(biāo)準(zhǔn)，但它們并不總是可行的。
"The most important thing in empirical work is to be clear about the question you are trying to answer."
實(shí)證研究中最重要的是要清楚你想要回答的問題。