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tips:models_with_or_without_intercept

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tips:models_with_or_without_intercept [2019/06/30 11:43] – external edit 127.0.0.1tips:models_with_or_without_intercept [2020/03/19 14:22] – Wolfgang Viechtbauer
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 H_0: \mu_a = \mu_r = \mu_s = 0. H_0: \mu_a = \mu_r = \mu_s = 0.
 $$ $$
-This test is clearly significant ($p = .0011), which indicates that we can reject the null hypothesis that the (average) log risk ratio is zero for all three methods of allocation.+This test is clearly significant ($p = .0011$), which indicates that we can reject the null hypothesis that the (average) log risk ratio is zero for all three methods of allocation.
  
 Again, we could use the ''anova()'' function to carry out explicitly the same test with: Again, we could use the ''anova()'' function to carry out explicitly the same test with:
tips/models_with_or_without_intercept.txt · Last modified: 2022/08/03 11:34 by Wolfgang Viechtbauer