Analyzing Longitudinal Clinical Trial Data: A Practical Guide
暫譯: 分析縱向臨床試驗數據：實用指南

Mallinckrodt, Craig, Lipkovich, Ilya

Analyzing Longitudinal Clinical Trial Data: A Practical Guide
  • 出版商: CRC
  • 出版日期: 2020-12-18
  • 售價: $2,400
  • 貴賓價: 9.5 折 $2,280
  • 語言: 英文
  • 頁數: 302
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367736586
  • ISBN-13: 9780367736583

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.The book, with its example-oriented approach that includes numerous SAS and R code fragments, is an essential resource for statisticians and graduate students specializing in medical research.



The authors provide clear descriptions of the relevant statistical theory and illustrate practical considerations for modeling longitudinal data. Topics covered include choice of endpoint and statistical test; modeling means and the correlations between repeated measurements; accounting for covariates; modeling categorical data; model verification; methods for incomplete (missing) data that includes the latest developments in sensitivity analyses, along with approaches for and issues in choosing estimands; and means for preventing missing data. Each chapter stands alone in its coverage of a topic. The concluding chapters provide detailed advice on how to integrate these independent topics into an over-arching study development process and statistical analysis plan.

商品描述(中文翻譯)

《分析縱向臨床試驗數據：實用指南》提供了實用且易於實施的方法，將最新的縱向臨床試驗數據分析理論融入日常實踐。這本書以範例為導向，包含大量的 SAS 和 R 代碼片段，是專注於醫學研究的統計學家和研究生的重要資源。

作者清楚地描述了相關的統計理論，並說明了建模縱向數據的實際考量。涵蓋的主題包括終點和統計檢定的選擇；建模均值及重複測量之間的相關性；考慮協變量；建模類別數據；模型驗證；處理不完整（缺失）數據的方法，包括最新的敏感性分析發展，以及選擇估計量的相關方法和問題；以及防止缺失數據的手段。每一章都獨立涵蓋一個主題。結尾的幾章提供了如何將這些獨立主題整合到一個全面的研究開發過程和統計分析計劃中的詳細建議。

作者簡介

Craig Mallinckrodt and Ilya Lipkovich each have extensive experience in medical research and longitudinal analyses. Dr. Mallinckrodt is a Research Fellow at Eli Lilly and Company and a Fellow of the American Statistical Association. He has won numerous awards, including the 2014 award for statistical excellence in the Pharmaceutical Industry from the Royal Statistical Society and PSI (Statisticians in the Pharmaceutical Industry). Dr. Lipkovich is a Principal Scientific Advisor at Quintiles. He is a widely-published author and frequent presenter at conferences and has developed a number of successful short courses and tutorials.　　



作者簡介(中文翻譯)

克雷格·馬林克羅特 和 伊利亞·利普科維奇 兩位在醫學研究和縱向分析方面擁有豐富的經驗。馬林克羅特博士是艾利·莉莉公司的研究員，並且是美國統計協會的會員。他曾獲得多項獎項，包括2014年由英國皇家統計學會和製藥行業統計學家協會（PSI）頒發的製藥行業統計卓越獎。利普科維奇博士是昆泰爾斯的首席科學顧問。他是一位廣泛發表的作者，經常在會議上演講，並且開發了多個成功的短期課程和教程。

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