عنوان

Pharmaceutical statistics using SAS : a practical guide

electronic

Pharmaceutical statistics using SAS : a practical guide

Cary, N.C.

SAS Institute

2007

ix, 444 p. : ill. ; 28 cm

SAS Press series

Includes bibliographical references and index

edited by Alex Dmitrienko, Christy Chuang-Stein, Ralph D'Agostino

Statistics in drug development by Christy Chuang-Stein and Ralph D'Agostino -- Modern classification methods for drug discovery by Kjell Johnson and William Rayens -- Model building techniques in drug discovery by Kimberly Crimin and Thomas Vidmar -- Statistical considerations in analytical method validation by Bruno Boulanger, Viswanath Devanaryan, Walthere Dewe, and Wendell Smith -- Some statistical considerations in nonclinical safety assessment by Wherly Hoffman, Cindy Lee, Alan Chiang, Kevin Guo, and Daniel Ness -- Nonparametric methods in pharmaceutical statistics by Paul Juneau -- Optimal design of experiments in pharmaceutical applications by Valerii Fedorov, Robert Gagnon, Sergei Leonov, and Yuehui Wu -- Analysis of human pharmacokinetic data by Scott Patterson and Brian Smith -- Allocation in randomized clinical trials by Olga Kuznetsova and Anastasia Ivanova -- Sample-size analysis for traditional hypothesis testing: concepts and issues by Ralph G. O'Brien and John Castelloe -- Design and analysis of dose-ranging clinical studies by Alex Dmitrienko, Kathleen Fritsch, Janson Hsu, and Stephen Ruberg -- Analysis of incomplete data by Geert Molenberghs, Caroline Beunckens, Herbert Thijs, Ivy Jansen, Geert Verbeke, Michael Kenward, and Kristen Van Steen -- Reliability and validity: Assessing the psychometric properties of rating scales by Douglas Faries and Ilker Yalcin -- Decision analysis in drug development by Carl-Fredrik Burman, Andy Grieve, and Stephen Senn

9781590478868

، SAS )Computer file(

، Clinical trials

Testing Statistical methods ، Drugs

، Clinical pharmacology

، Drug development

، Pharmacology

TI

AU Dmitrienko, Alex

AU Chuang-Stein, Christy

AU D'Agostino, Ralph B

SE