Differences

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--- ebm:effect_estimation [2020/07/20 01:33] – [Effect size] dhawann
+++ ebm:effect_estimation [2020/07/20 01:40] (current) – [Odds ratio] dhawann
@@ Line 6: / Line 6: @@
 ===== Odds ratio =====
-  * Better for regression analysis, but relative ratio is more intuitive.
+  * Odds ration makes regression analysis easier, but relative ratio is more intuitive.
   * Odds are defined as $$\frac{p}{1-p}$$ if $$p$$ is the probability of an event
-    * if the probability is 50% then it's $$ which is 50-50.
+    * if the probability is 50% then it's $$\frac{0.5}{1-0.5}$$ which is 50-50 or even odds.
 ===== Relative ratio =====
@@ Line 24: / Line 24: @@
   * 0.4 to 0.7 is medium effect size
   * greater than 0.7 is large effect size
-  * Nonetheless, Cohen¡¯s d is especially useful in research using continuous measures of outcome (such as psychiatric rating scales) and is commonly employed in experimental psychology research.
+  * Nonetheless, Cohen's d is especially useful in research using continuous measures of outcome (such as psychiatric rating scales) and is commonly employed in experimental psychology research.
 ===== Number Needed to Treat and Number Needed to Harm =====
-==== Forumula ====
+==== Formula ====
   * Number needed to treat or harm is 1 divided by the absolute risk reduction or risk increase.
-  * example: If 50% of people responded to a drug and 30% responded to placebo the
+  * example: If 50% of people responded to a drug and 30% responded to placebo the absolute risk reduction would be 20%. The number needed to treat would be 1/0.2 which is 5.
-absolute risk reduction would be 20%. The number needed to treat would be 1/0.2 which is 5.
 ==== NNT ====