{"product_id":"statistical-methods-for-mediation-confounding-qingzhao-yu-9780367365479","title":"Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS","description":"\u003cp\u003eThird-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003eStatistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS \u003c\/i\u003e\u003c\/b\u003eintroduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carried by individual third-variables can be separated from the total effect. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.\u003c\/p\u003e \u003cp\u003eKey Features: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eParametric and nonparametric method in third variable analysis\u003c\/li\u003e \u003cli\u003eMultivariate and Multiple third-variable effect analysis\u003c\/li\u003e \u003cli\u003eMultilevel mediation\/confounding analysis\u003c\/li\u003e \u003cli\u003eThird-variable effect analysis with high-dimensional data Moderation\/Interaction effect analysis within the third-variable analysis\u003c\/li\u003e \u003cli\u003eR packages and SAS macros to implement methods proposed in the book\u003c\/li\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Qingzhao Yu, Bin Li\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 0367365472\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9780367365479\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 03\/21\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 294\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.30lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.69d\u003c\/ul\u003e","brand":"Qingzhao Yu","offers":[{"title":"Hardcover","offer_id":44053079032063,"sku":"9780367365479","price":170.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_818ebc69-6b46-4185-bace-74ef8f87ef72.jpg?v=1685022281","url":"https:\/\/www.whiterainbookhouse.com\/products\/statistical-methods-for-mediation-confounding-qingzhao-yu-9780367365479","provider":"WR Book House","version":"1.0","type":"link"}