Statistical Thinking in Clinical Trials
暫譯: 臨床試驗中的統計思維
Proschan, Michael A.
- 出版商: CRC
- 出版日期: 2021-11-24
- 售價: $3,840
- 貴賓價: 9.5 折 $3,648
- 語言: 英文
- 頁數: 264
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138058599
- ISBN-13: 9781138058590
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相關分類:
機率統計學 Probability-and-statistics
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相關主題
商品描述
Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a trial that required an unplanned, mid-course design change.
Other principles enable the reader to quickly and confidently check calculations without relying on computer programs. The EZ' principle says that a single sample size formula can be applied to a multitude of statistical tests. The O minus E except after V' principle provides a simple estimator of the log odds ratio that is ideally suited for stratified analysis with a binary outcome. The same principle can be used to estimate the log hazard ratio and facilitate stratified analysis in a survival setting. Learn these and other simple techniques that will make you an invaluable clinical trial statistician.
商品描述(中文翻譯)
《臨床試驗中的統計思維》結合了相對少量的關鍵統計原則和幾個具啟發性的臨床試驗，輕柔地引導讀者理解臨床試驗中所需的統計思維。隨機化是臨床試驗的基石，而基於隨機化的推論則是本書的基石。閱讀本書以了解重新隨機化測試作為統計推論基礎的優雅與簡單（隨機化時分析原則），並看看重新隨機化測試如何拯救需要未計劃的中途設計變更的試驗。
其他原則使讀者能夠快速且自信地檢查計算，而無需依賴電腦程式。EZ原則指出，單一樣本大小公式可以應用於多種統計測試。O減E除非在V之後原則提供了一個簡單的對數比率估計量，這非常適合用於具有二元結果的分層分析。相同的原則也可以用來估計對數風險比，並促進生存情境中的分層分析。學習這些及其他簡單技術，將使你成為一位不可或缺的臨床試驗統計師。
作者簡介
Michael Proschan is a mathematical statistician and Fellow of the American Statistical Association with 32 years of clinical trial experience in cardiovascular and infectious diseases, including HIV/AIDS, Ebola virus disease, and COVID-19. He has expertise in statistical monitoring of clinical trials, having taught short courses and co-authored the book Statistical Monitoring of Clinical Trials: A Unified Approach with Gordon Lan and Janet Wittes. He co-authored, with Sally Hunsberger, one of the first papers on adaptive clinical trial methods using the observed treatment effect at an interim analysis. More recently, Dr. Proschan has written about the vital role re-randomization tests play in adaptive methods before breaking the treatment blind. He has recently been an adjunct faculty member at George Washington University and Johns Hopkins University's Advanced Academic Programs.
作者簡介(中文翻譯)
邁克爾·普羅尚（Michael Proschan）是一位數學統計學家，並且是美國統計學會的會士，擁有32年的心血管和傳染病臨床試驗經驗，包括HIV/AIDS、埃博拉病毒病和COVID-19。他在臨床試驗的統計監測方面具有專業知識，曾教授短期課程，並與戈登·蘭（Gordon Lan）和珍妮特·維特斯（Janet Wittes）共同撰寫了書籍《臨床試驗的統計監測：統一方法》（Statistical Monitoring of Clinical Trials: A Unified Approach）。他與薩莉·漢斯伯格（Sally Hunsberger）共同撰寫了關於使用中期分析觀察到的治療效果的自適應臨床試驗方法的首篇論文之一。最近，普羅尚博士撰寫了有關重新隨機化測試在自適應方法中於打破治療盲點之前所扮演的重要角色的文章。他最近擔任喬治·華盛頓大學和約翰霍普金斯大學進階學術計畫的兼任教員。
