𝔖 Scriptorium
✦   LIBER   ✦

📁

Analysis of Clinical Trials Using SAS: A Practical Guide

✍ Scribed by Dmitrienko A., Molenberghs G., Chuang-Stein C., Offen W.


Tongue
English
Leaves
430
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


N.-Y.: SAS Publishing, 2005. - 430p.

In Analysis of Clinical Trials Using SAS: A Practical Guide, Alex Dmitrienko, Geert Molenberghs, Christy Chuang-Stein, and Walter Offen bridge the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step instructions illustrated with examples from actual trials and case studies serve to define a statistical method and its relevance in a clinical trials setting and to illustrate how to implement the method rapidly and efficiently using the power of SAS software.

✦ Subjects


Медицинские дисциплины;Социальная медицина и медико-биологическая статистика


📜 SIMILAR VOLUMES


Analysis of Clinical Trials Using SAS: A
✍ Alex Dmitrienko; Gary G. Koch 📂 Library 📅 2017 🏛 SAS Institute 🌐 English

Analysis of Clinical Trials Using SAS(R) A Practical Guide, Second Edition bridges the gap between modern statistical methodology and real-world clinical trial applications. Tutorial material and step-by-step instructions illustrated with examples from actual trials serve to define relevant statisti

Survival Analysis Using SAS: A Practical
✍ Paul D. Allison 📂 Library 📅 1995 🌐 English

Biomedical and social science researchers who want to analyze survival data with SAS will find just what they need with this easy-to-read and comprehensive guide. Written for the reader with a modest statistical background and minimal knowledge of SAS software, this book teaches many aspects of data

Survival Analysis Using SAS: A Practical
✍ Paul D Allison 📂 Library 📅 2010 🏛 SAS Publishing 🌐 English

Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated