Multiple Imputation and Its Application

Carpenter, James R., Bartlett, Jonathan W., Morris, Tim P.

Multiple Imputation and Its Application
  • 出版商: Wiley
  • 出版日期: 2023-07-24
  • 售價: $3,000
  • 貴賓價: 9.5 折 $2,850
  • 語言: 英文
  • 頁數: 464
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119756081
  • ISBN-13: 9781119756088
  • 相關分類: R 語言、機率統計學 Probability-and-statistics

    • 海外代購書籍(需單獨結帳)

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商品描述

The most up-to-date edition of a bestselling guide to analyzing partially observed data

In this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings.

With an accessible and carefully structured presentation aimed at quantitative researchers, Multiple Imputation and its Application is illustrated with a range of examples and offers key mathematical details. The book includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata. Readers will find:

  • A comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data sets
  • Careful discussion of key concepts
  • A range of examples illustrating the key ideas
  • Practical advice on using multiple imputation
  • Exercises and examples designed for use in the classroom and/or private study

Written for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, Multiple Imputation and its Application will also earn a place in the libraries of graduate students undertaking quantitative analyses.

商品描述(中文翻譯)

這是一本關於分析部分觀察數據的暢銷指南的最新版本。

在這本全面修訂的第二版《多重插補及其應用》中，一群傑出的統計學家概述了缺失數據引起的問題，多重插補作為解決方案的理據，以及在各種情境中應用它的實際操作。本書以易於理解且結構良好的方式呈現，針對量化研究人員，並以多種示例進行說明，並提供關鍵的數學細節。該書包含了一系列理論和基於計算機的練習，經過課堂測試，對於使用R或Stata的用戶尤其有用。讀者將會找到：

- 對於處理不完整數據集最有效且最受歡迎的方法之一的全面概述
- 對關鍵概念的仔細討論
- 一系列示例來說明關鍵思想
- 關於使用多重插補的實用建議
- 設計用於課堂和/或自學的練習和示例

這本書是為應用研究人員希望自信地使用多重插補的人而寫的，同時也適合方法研究人員尋求對該主題的易於理解的概述，並將成為進行量化分析的研究生圖書館的一部分。

作者簡介

JAMES R. CARPENTER is Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine and Programme Leader in Methodology at the MRC Clinical Trials Unit at UCL, UK.

JONATHAN W. BARTLETT is a Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine, UK.

TIM P. MORRIS is Principal Research Fellow in Medical Statistics at the MRC Clinical Trials Unit at UCL, UK.

ANGELA M. WOOD is Professor of Health Data Science in the Department of Public Health and Primary Care, University of Cambridge, UK.

MATTEO QUARTAGNO is Senior Research Fellow in Medical Statistics at the MRC Clinical Trials Unit at UCL, UK.

MICHAEL G. KENWARD retired in 2016 after sixteen years as GlaxoSmithKline Professor of Biostatistics at the London School of Hygiene & Tropical Medicine, UK.

作者簡介(中文翻譯)

JAMES R. CARPENTER 是英國倫敦衛生與熱帶醫學學院的醫學統計學教授，也是英國倫敦大學學院MRC臨床試驗單位方法學領導者。

JONATHAN W. BARTLETT 是英國倫敦衛生與熱帶醫學學院的醫學統計學教授。

TIM P. MORRIS 是英國倫敦大學學院MRC臨床試驗單位醫學統計學首席研究員。

ANGELA M. WOOD 是英國劍橋大學公共衛生與初級保健系的健康數據科學教授。

MATTEO QUARTAGNO 是英國倫敦大學學院MRC臨床試驗單位醫學統計學高級研究員。

MICHAEL G. KENWARD 在2016年退休，之前在英國倫敦衛生與熱帶醫學學院擔任GlaxoSmithKline生物統計學教授長達十六年。

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