Overall Type 1 Error For Multiple Regression Models In Study
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The concept of Type 1 error when a study is investigating multiple questions (i.e. multiple models) is something that eludes me, and I can’t seem to find much information on it.
I know that the set alpha level is the Type 1 Error rate for a aingle regression model, but what happens when a study has multiple regression models all with the same alpha (for example, 5%)? Does that mean the overall Type 1 error is greater than 5% for the entire study, similar to the concept of multiple comparisons?
statistics self-learning
asked Dec 14 '18 at 20:18
Sylvia HaoSylvia Hao
11
$endgroup$
add a comment |
$begingroup$
The concept of Type 1 error when a study is investigating multiple questions (i.e. multiple models) is something that eludes me, and I can’t seem to find much information on it.
I know that the set alpha level is the Type 1 Error rate for a aingle regression model, but what happens when a study has multiple regression models all with the same alpha (for example, 5%)? Does that mean the overall Type 1 error is greater than 5% for the entire study, similar to the concept of multiple comparisons?
statistics self-learning
asked Dec 14 '18 at 20:18
Sylvia HaoSylvia Hao
11
$endgroup$
add a comment |
$begingroup$
The concept of Type 1 error when a study is investigating multiple questions (i.e. multiple models) is something that eludes me, and I can’t seem to find much information on it.
I know that the set alpha level is the Type 1 Error rate for a aingle regression model, but what happens when a study has multiple regression models all with the same alpha (for example, 5%)? Does that mean the overall Type 1 error is greater than 5% for the entire study, similar to the concept of multiple comparisons?
statistics self-learning
asked Dec 14 '18 at 20:18
Sylvia HaoSylvia Hao
11
$endgroup$
The concept of Type 1 error when a study is investigating multiple questions (i.e. multiple models) is something that eludes me, and I can’t seem to find much information on it.
I know that the set alpha level is the Type 1 Error rate for a aingle regression model, but what happens when a study has multiple regression models all with the same alpha (for example, 5%)? Does that mean the overall Type 1 error is greater than 5% for the entire study, similar to the concept of multiple comparisons?
statistics self-learning
statistics self-learning
asked Dec 14 '18 at 20:18
Sylvia HaoSylvia Hao
11
asked Dec 14 '18 at 20:18
Sylvia HaoSylvia Hao
11
asked Dec 14 '18 at 20:18
Sylvia HaoSylvia Hao
11
asked Dec 14 '18 at 20:18
Sylvia HaoSylvia Hao
11
asked Dec 14 '18 at 20:18
Sylvia HaoSylvia Hao
11
11
add a comment |
add a comment |
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