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--- duke_notes [2025/11/17 21:46] – admin
+++ duke_notes [2025/11/17 21:46] (current) – admin
@@ Line 1: / Line 1: @@
 [[https://stats.libretexts.org/Bookshelves/Introductory_Statistics/OpenIntro_Statistics_(Diez_et_al)./06%3A_Inference_for_Categorical_Data | Inference for Categorical Variables]]
-==== General Tips ====
+===== General Tips =====
-if you can, pick a continuous outcome over a binary outcome
+  * if you can, pick a continuous outcome over a binary outcome
+    * Why? For a binary outcome, you'll need a much larger sample size. Continuous outcomes also allow more precision.
-Why? For a binary outcome, you'll need a much larger sample size. Continuous outcomes also allow more precision.
+  * logistic regressions stink!
 logistic regression = linear model for the log-odds of the outcome

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