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Everything about Controlling for a variable

Binning data according to measured values of the variable

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. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Controlling for a variableA 5-minute orientation
  2. Skim a recent paper: Fit for comparison: controlling for cardiorespiratory fitness in exercise physiology studies of sex as a biological variableInfluential work since 2022
  3. Pick up a classic book: The C Programming LanguageThe most-reprinted book on the subject
  4. Read the landmark paper: Variable structure control approach for controlling chaosCited 59 times
  5. Go sideways: Instrumental variablesA closely related topic
  6. Go sideways: Endogeneity (econometrics)A closely related topic

📖 Definitions

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🗂️ The subject at a glance

  1. Experiments
  2. Observational studies

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics