Books

	Analysis of Clinical Trials Using SAS: A Practical Guide by Alex Dmitrienko, Geert Molenbergs, Christy Chuang-Stein, and Walter Offen This comprehensive guide bridges the gap between statistical methodology and real-world clinical trial applications. Topics reflect the International Conference on Harmonization (ICH) guidelines for the pharmaceutical industry and address important statistical problems encountered in clinical trials.
	Pharmaceutical Statistics Using SAS: A Practical Guide by Alex Dmitrienko, Christy Chuang-Stein and Ralph D'Agostino Introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.
	SAS Programming in the Pharmaceutical Industry by Jack Shostak Discover tools available within Base SAS (including the macro language and PROC SQL), SAS/GRAPH, and SAS/STAT that can be used to resolve common issues in working with clinical trial data. Addresses importing and massaging data into analysis data sets, producing clinical trial output, and exporting data.
	Validating Clinical Trial Data Reporting with SAS by Carol I. Matthews and Brian Shilling This indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration (FDA). The authors provide practical examples and tips for avoiding errors in your output.

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