『医学のための因果推論Ⅰ一般化線形モデル』を勉強した時のまとめです。 結構難しい本でしたので自分なりの解釈を入れながらまとめました。 2値データの回帰モデルについて詳しく解説します。 具体的にはプロビット回帰、ロジスティック回帰、積2項 ...
The Clark approximation, in which the maximum of two normally distributed random variables is approximated by a third normally distributed random variable, forms the basis of a relatively inexpensive ...
and is the normal probability function. This is the likelihood function for a binary probit model. This likelihood is strictly positive so that you can take a square root of and use this as your ...
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The data for this example are from Ezzet and Whitehead (1991), who describe a crossover experiment on two groups of patients using two different inhaler devices (A and B). Patients from group 1 used ...
This is a preview. Log in through your library . Abstract I consider an ordered probit model in which some of the observations in one of the categories are missing. The model can be estimated because ...
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