・「イベント発生率が10％を超えると、ロジスティックのORはRRに近似できませんよ」の根拠でしばしば引用される重要な文献 Zhang J, Yu KF. What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes. JAMA. 1998;280:1690-1 ...

This project demonstrates the application of Logistic Regression to predict whether a room should be rented based on its rent and area. The goal of this project is to build a classification model ...

機械学習関連で学んだアレコレも投稿していこうと思うので、見出し画像を作ってみたんですが… 我ながらセンスが無い。作るのに時間は掛けていないですが、それにしてもかなり微妙ですね。 デザインも勉強して少しずつ改良したいと思います。 本題に ...

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical, a common ...

Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

In matched case-control studies, conditional logistic regression is used to investigate the relationship between an outcome of being a case or a control and a set of prognostic factors. When each ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...