In causal models, controlling for a variable means binning data according to measured values of the variable. This is typically done so that the variable can no longer act as a confounder in, for example, an observational study or experiment. When estimating the effect of explanatory variables on an outcome by regression, controlled-for variables are included as inputs in order to separate their effects from the explanatory variables.
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| - Controlling for a variable (en)
- Pengendalian suatu variabel (in)
- 변인통제 (ko)
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| - Pengendalian suatu variabel dalam statistika adalah upaya untuk mengurangi efek dalam sebuah atau percobaan. Hal ini berarti, ketika melihat efek dari satu variabel, maka efek dari semua variabel prediksi lainnya diperhitungkan, baik dengan membuat variabel lain mengambil nilai tetap (dalam percobaan) maupun dengan memasukkannya ke dalam analisis regresi untuk memisahkan efeknya dari efek variabel penjelas yang berkepentingan (dalam sebuah studi pengamatan). (in)
- 변인통제(變因統制)란 은 변화시키고, 나머지 통제변인들을 일정하게 유지시키는 것을 말한다. 조작하지 않고 유지시키는 변인을 가리키는 통제변인과는 다른 개념이다.종속변인이란 실험을 통해 알아내야 하는 실험목표를 말한다. (ko)
- In causal models, controlling for a variable means binning data according to measured values of the variable. This is typically done so that the variable can no longer act as a confounder in, for example, an observational study or experiment. When estimating the effect of explanatory variables on an outcome by regression, controlled-for variables are included as inputs in order to separate their effects from the explanatory variables. (en)
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| - In causal models, controlling for a variable means binning data according to measured values of the variable. This is typically done so that the variable can no longer act as a confounder in, for example, an observational study or experiment. When estimating the effect of explanatory variables on an outcome by regression, controlled-for variables are included as inputs in order to separate their effects from the explanatory variables. A limitation of controlling for variables is that a causal model is needed to identify important confounders (backdoor criterion is used for the identification). Without having one, a possible confounder might remain unnoticed. Another associated problem is that if a variable which is not a real confounder is controlled for, it may in fact make other variables (possibly not taken into account) become confounders while they weren't confounders before. In other cases, controlling for a non-confounding variable may cause underestimation of the true causal effect of the explanatory variables on an outcome (e.g. when controlling for a mediator or its descendant). Counterfactual reasoning mitigates the influence of confounders without this drawback. (en)
- Pengendalian suatu variabel dalam statistika adalah upaya untuk mengurangi efek dalam sebuah atau percobaan. Hal ini berarti, ketika melihat efek dari satu variabel, maka efek dari semua variabel prediksi lainnya diperhitungkan, baik dengan membuat variabel lain mengambil nilai tetap (dalam percobaan) maupun dengan memasukkannya ke dalam analisis regresi untuk memisahkan efeknya dari efek variabel penjelas yang berkepentingan (dalam sebuah studi pengamatan). (in)
- 변인통제(變因統制)란 은 변화시키고, 나머지 통제변인들을 일정하게 유지시키는 것을 말한다. 조작하지 않고 유지시키는 변인을 가리키는 통제변인과는 다른 개념이다.종속변인이란 실험을 통해 알아내야 하는 실험목표를 말한다. (ko)
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