Multiple Imputation and Its Application
暫譯: 多重插補及其應用

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: $3,020
  • 貴賓價: 9.5 折 $2,869
  • 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)

最新版本的暢銷指南，分析部分觀察數據

在這本全面修訂的第二版《多重插補及其應用》中，一組傑出的統計學家提供了缺失數據所引發的問題概述、多重插補作為解決方案的理由，以及在多種環境中應用它的實際考量。

《多重插補及其應用》以易於理解且結構清晰的方式呈現，旨在幫助定量研究者，並配有多種範例，提供關鍵的數學細節。本書包括廣泛的理論和基於計算機的練習，這些練習在課堂上經過測試，對於使用 R 或 Stata 的用戶特別有用。讀者將會發現：


  • 對處理不完整數據集的最有效和最受歡迎的方法之一的全面概述

  • 對關鍵概念的仔細討論

  • 一系列範例說明關鍵思想

  • 有關使用多重插補的實用建議

  • 設計用於課堂和/或自學的練習和範例

本書是為希望自信使用多重插補的應用研究者以及尋求該主題易於理解概述的方法研究者而寫的，《多重插補及其應用》也將成為進行定量分析的研究生圖書館中的一部分。

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)

詹姆斯·R·卡彭特是倫敦衛生與熱帶醫學院的醫學統計學教授，以及英國倫敦大學學院（UCL）MRC臨床試驗單位的方法學計畫負責人。

喬納森·W·巴特利特是倫敦衛生與熱帶醫學院的醫學統計學教授，英國。

蒂姆·P·莫里斯是英國倫敦大學學院（UCL）MRC臨床試驗單位的醫學統計學首席研究員。

安吉拉·M·伍德是劍橋大學公共衛生與基層醫療系的健康數據科學教授，英國。

馬泰奧·夸爾塔尼奧是英國倫敦大學學院（UCL）MRC臨床試驗單位的醫學統計學高級研究員。

邁克爾·G·肯沃德於2016年退休，之前在倫敦衛生與熱帶醫學院擔任格拉索史密斯克萊恩生物統計學教授長達十六年。

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