{"description":"Bill Shipley \uff082001\u5e74\u520a\u884c\uff0cCambridge University Press\uff0cISBN:0521529212\uff09 \u3010\u76ee\u6b21\u3011 Preface 1. Preliminaries 2. From cause to correlation and back 3. Sewall Wright, path analysis and d-separation 4. Path analysis and maximum likelihood 5. Measurement error and latent variables 6. The structural equations model 7\u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fleeswijzer.hatenadiary.com%2Fentry%2F20060402%2F1143947790\" title=\"\u300eCause and Correlation in Biology : A User&#39;s Guide to Path Analysis, Structural Equations and Causal Inference\u300f - leeswijzer: een nieuwe leeszaal van dagboek\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_title":"leeswijzer: een nieuwe leeszaal van dagboek","author_url":"https://blog.hatena.ne.jp/leeswijzer/","width":"100%","blog_url":"https://leeswijzer.hatenadiary.com/","version":"1.0","height":"190","published":"2006-04-02 12:16:30","categories":["\u76ee"],"title":"\u300eCause and Correlation in Biology : A User's Guide to Path Analysis, Structural Equations and Causal Inference\u300f","url":"https://leeswijzer.hatenadiary.com/entry/20060402/1143947790","provider_name":"Hatena Blog","image_url":null,"type":"rich","provider_url":"https://hatena.blog","author_name":"leeswijzer"}