{"product_id":"statistical-methods-for-handling-incomplete-data-9781032118130","title":"Statistical Methods for Handling Incomplete Data","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eDue to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. \u003cb\u003eStatistical Methods for Handling Incomplete Data\u003c\/b\u003e covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.\u003c\/p\u003e\u003cp\u003eFeatures\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eUses the mean score equation as a building block for developing the theory for missing data analysis \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eProvides comprehensive coverage of computational techniques for missing data analysis \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003ePresents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eExplores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eDescribes a survey sampling application \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eUpdated with a new chapter on Data Integration\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eNow includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation \u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThe book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"As a general comment, I must say that it is probably one of the most extensive, detailed and complete sources of information on the most up-to-date methods to deal with missing data, from simple imputation methods to more complex analysis techniques that take missingness into account. The book is well organized in 12 chapters that although could be read independently based on the readers needs\/interest, it does have a hierarchy that makes sense going from more simple early chapters to more complex subjects later in the book.\"\u003cbr\u003e\u003ci\u003e~David Manteigas, ISCB Book Reviews\u003c\/i\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1. Introduction\u003cbr\u003e2. Likelihood-based Approach\u003cbr\u003e3. Computation\u003cbr\u003e4. Imputation\u003cbr\u003e5. Multiple Imputation\u003cbr\u003e6. Fractional Imputation\u003cbr\u003e7. Propensity Scoring Approach\u003cbr\u003e8. Nonignorable Missing Data\u003cbr\u003e9. Longitudinal and Clustered Data\u003cbr\u003e10. Application to Survey Sampling\u003cbr\u003e11. Data Integration\u003cbr\u003e12. Advanced Topics\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":51018847322455,"sku":"9781032118130","price":43.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781032118130.jpg?v=1750778373","url":"https:\/\/bookcurl.com\/products\/statistical-methods-for-handling-incomplete-data-9781032118130","provider":"Book Curl","version":"1.0","type":"link"}