Building Your Career as a Statistician: A Practical Guide to Longevity, Happiness, and Accomplishment

This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in their career with sufficient work time remaining such that investing in additional learning could be beneficial. As such, the book would be suitable for anyone pursing an MS or PhD in statistics or those already working in statistics. The book focuses on the non-statistical aspects of being a statistician that are crucial for success. These factors include 1) productivity and prioritization, 2) innovation and creativity, 3) communication, 4) critical thinking and decisions under uncertainty, 5) influence and leadership, 6) working relationships, and 7) career planning and continued learning. Each of these chapters includes sections on foundational principles and a section on putting those principles into practice. Connections between these individual skills are emphasized such that the reader can appreciate how the skills build upon each other leading to a whole that is greater than the sum of its parts. By including the individual perspectives from other experts on the fundamental principles and their application, readers will have a well-rounded view on how to build upon and fully leverage their technical skills in statistics. The primary audience for the book is large and diverse. It will be useful for self-study by virtually any statistician, but could also be used as a text in a graduate program that includes a course on careers and career development.

Key Features:

• Takes principles proven to be useful in other settings and applies them to statisticians and statistical settings.
• Focused
• Concise
• Accessible to all levels, from grad students to mid-later career statisticians.

這本書適合任何考慮從事統計學或相關領域職業的人，或者在職業生涯中仍有足夠時間進行額外學習的人。因此，這本書適合追求統計學碩士或博士學位的人，以及已經從事統計學工作的人。本書專注於統計學家成功所必不可少的非統計方面。這些因素包括：1）生產力和優先順序，2）創新和創造力，3）溝通，4）批判性思維和不確定情況下的決策，5）影響力和領導力，6）工作關係，以及7）職業規劃和持續學習。每個章節都包括基礎原則和實踐原則的部分。強調這些個別技能之間的聯繫，讓讀者能夠理解這些技能如何相互建立，形成整體，超越其各個部分的總和。通過包括其他專家對基本原則及其應用的個人觀點，讀者將對如何在統計學的技術技能上進一步建立和充分利用有全面的了解。本書的主要讀者群眾眾多且多樣化。對於幾乎任何統計學家來說，它都可以作為自學的有用資料，同時也可以作為包含職業和職業發展課程的研究生課程的教材。

主要特點：
- 將在其他環境中被證明有用的原則應用於統計學家和統計學環境。
- 焦點明確。
- 簡潔明瞭。
- 適合各個層次的人，從研究生到中後期的職業統計學家。

Craig Mallinckrodt is a Distinguished Biostatistician at Pentara Corporation.. He is a Fellow of the American Statistical Association and he won the Royal Statistical Society's award for outstanding contribution to the pharmaceutical industry. He has extensive industry and academic working experience, holding technical positions from entry level to Vice President. Craig has led industry working groups and he has published extensively on a wide variety of clinical and methodological topics, most notably, missing data, estimands, and various aspects of clinical development optimization.

Craig Mallinckrodt是Pentara Corporation的傑出生物統計學家。他是美國統計學會的會士，並獲得皇家統計學會頒發的對藥物工業做出傑出貢獻的獎項。他在業界和學術界擁有豐富的工作經驗，從初級職位到副總裁都有涉獵。Craig帶領業界工作小組，並在各種臨床和方法論主題上發表了大量的論文，尤其是關於缺失數據、估計目標和臨床開發優化的各個方面。