{"product_id":"application-of-regularized-regressions-to-identify-novel-predictors-in-clinical-research","title":"Application of Regularized Regressions to Identify Novel Predictors in Clinical Research","description":"\u003cp\u003eBy Ton J. Cleophas, Aeilko H. Zwinderman This textbook is an important novel menu for multiple variables regression entitled \"regularized regression\". It is a must have for identifying unidentified leading factors. Also, you get fitted parameters for your overfitted data. Finally, there is no more need for commonly misunderstood p-values. Instead, the regression coefficient, R-value, as reported from a regression line has been applied as the key predictive estimator of the regression study. With simple one by one variable regression it is no wider than -1 to +1. With multiple variables regression it can easily get \u0026gt; +1 or Product Details Publisher ‏ : ‎ Springer; 2024th edition (December 21, 2024) Language ‏ : ‎ English Hardcover ‏ : ‎ 286 pages ISBN-10 ‏ : ‎ 3031722469 ISBN-13 ‏ : ‎ 978-3031722462\u003c\/p\u003e","brand":"Pharmacology \u0026 Pharmacy","offers":[{"title":"Default Title","offer_id":48537551306993,"sku":null,"price":29.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0811\/0211\/0961\/files\/978-3031722462-9783031722479-1.webp?v=1786384802","url":"https:\/\/pharmalibrary.online\/products\/application-of-regularized-regressions-to-identify-novel-predictors-in-clinical-research","provider":"Pharma","version":"1.0","type":"link"}