{"product_id":"2408761","title":"Missing Data Methods: Cross-Sectional Methods and Applications","description":"Expertly handle the complexities of missing data in cross-sectional studies with this comprehensive guide. By leveraging multiple imputation and maximum likelihood methods, researchers can overcome the challenges of attrition and nonignorable missingness. Practical applications of these techniques include prevention and drug research, where accurate data analysis is crucial. This resource provides a detailed overview of missing data theory, including normal-model multiple imputation and maximum likelihood methods, as well as the emerging field of planned missingness designs. With its clear explanations and real-world examples, this guide empowers researchers to make informed decisions about missing data and improve the validity of their findings. Whether working with cross-sectional data or navigating the nuances of observational studies, this resource offers a reliable and authoritative source for handling missing data with confidence.","brand":"Chalkys.com","offers":[{"title":"Default Title","offer_id":54684881486209,"sku":"2408761","price":116.48,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0056\/8043\/1219\/files\/31x_caagOfL.jpg?v=1756728226","url":"https:\/\/chalkys.com\/products\/2408761","provider":"Chalkys.com","version":"1.0","type":"link"}