Applied Missing Data Analysis in Health Sciences (Wiley Series in Statistics in Practice) (1ST)

個数:
電子版価格
¥15,825
  • 電子版あり

Applied Missing Data Analysis in Health Sciences (Wiley Series in Statistics in Practice) (1ST)

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版/ページ数 230 p.
  • 言語 ENG
  • 商品コード 9780470523810
  • DDC分類 610.724

Full Description

Applied Missing Data Analysis in the Health Sciences A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics

With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and provide newly-developed methods with concrete applications in areas such as causal inference.

Organized by types of data, chapter coverage begins with an overall introduction to the existence and limitations of missing data and continues into techniques for missing data inference, including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods. The book subsequently covers cross-sectional, longitudinal, hierarchical, survival data. In addition, Applied Missing Data Analysis in the Health Sciences features:

Multiple data sets that can be replicated using SAS®, Stata®, R, and WinBUGS software packages
Numerous examples of case studies to illustrate real-world scenarios and demonstrate applications of discussed methodologies
Detailed appendices to guide readers through the use of the presented data in various software environments

Applied Missing Data Analysis in the Health Sciences is an excellent textbook for upper-undergraduate and graduate-level biostatistics courses as well as an ideal resource for health science researchers and applied statisticians.

Contents

1 Missing Data Concepts and Motivating Examples 1

2 Overview of Methods for Dealing with Missing Data 15

3 Design Considerations in the Presence Of Missing Data 25

4 Cross-sectional Data Methods 31

5 Longitudinal Data Methods 69

6 Survival Analysis Under Ignorable Missingness 121

7 Nonignorable Missingness 147

8 Analysis of Randomized Clinical Trials With Noncompliance 185

Bibliography 215

Index 225

最近チェックした商品