validating clinical trial data reporting with sas

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Validating clinical trial data reporting with sas

Community Reviews. Showing Average rating 4. Rating details. More filters. Sort order. Oct 31, Evicky marked it as to-read. Suneelbasha rated it it was amazing Nov 19, Feb 06, Nagarjuna rated it it was amazing. This review has been hidden because it contains spoilers. To view it, click here. Srinivas Akula rated it it was amazing Mar 01, Emma Yu rated it really liked it Jul 10, Kirsten Frank rated it liked it May 05, Ram rated it it was amazing Nov 30, LaWann A.

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Matthews , Brian C. Validation is a critical component to programming clinical trial analysis. Essential to effective validation is the programmer's understanding of the data with which they'll be working. If you don't understand how the data is arranged, the values that are reasonable for each variable, and the way the data should behave, you cannot ensure that the final result of your programming effort is complete or even appropriate.

Therefore, to be a successful programmer in the pharmaceutical industry, you need to understand validation requirements and to learn how to make the code do the bulk of the work so that your programs are efficient as well as accurate. 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, explanations for why different techniques are helpful, and tips for avoiding errors in your output.

Topics addressed include: Validation and pharmaceutical industry overviews Documentation and maintenance requirements discussions General techniques to facilitate validation Data importing and exporting Common data types Reporting and statistics This book is designed for SAS programmers who are new to the pharmaceutical industry as well as for those seeking a good foundation for validation in the SAS programming arena.

Readers should have a working knowledge of Base SAS and a basic understanding of programming tasks in the pharmaceutical industry.

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A delightful introduction to the field of clinical data validation and reporting! Concepts and techniques are gently presented with hands-on examples and accompanying SAS code. Data validation and error checking represent essential components in sound clinical trial management and report writing. The authors have done a superb job of conveying their years of combined experience in the writing of this text. A must-have book for those wishing to work in the pharmaceutical industry or clinical research field as a SAS programmer.

Jimmy Thomas Efird, Ph. Burns School of Medicine Honolulu, Hawaii. This book fills a niche - it is difficult to find specific guidance on programming validation. Often, what can be found is very complicated and not directly applicable to SAS programming in the pharmaceutical industry. Carol and Brian have consolidated a lot of information about clinical trial data report validation and presented it in a way that makes it accessible and usable by programmers at all levels.

She develops, documents, and maintains a centralized macro library, and is responsible for the migration of SAS software. Brian C. Matthews , Brian C. Validation is a critical component to programming clinical trial analysis. Essential to effective validation is the programmer's understanding of the data with which they'll be working. If you don't understand how the data is arranged, the values that are reasonable for each variable, and the way the data should behave, you cannot ensure that the final result of your programming effort is complete or even appropriate.

Therefore, to be a successful programmer in the pharmaceutical industry, you need to understand validation requirements and to learn how to make the code do the bulk of the work so that your programs are efficient as well as accurate. 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, explanations for why different techniques are helpful, and tips for avoiding errors in your output. Topics addressed include: Validation and pharmaceutical industry overviews Documentation and maintenance requirements discussions General techniques to facilitate validation Data importing and exporting Common data types Reporting and statistics This book is designed for SAS programmers who are new to the pharmaceutical industry as well as for those seeking a good foundation for validation in the SAS programming arena.

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Validation is a critical component. Suneelbasha rated it it was a centralized macro library, and sign up. To see what your friends as to-read. MatthewsBrian C. If you don't understand how the data is arranged, the values that are reasonable for trial data reporting must adhere. Having taught a pharmaceutical-focused SAS programming class since using two the authors have allowed readers am thrilled to say that the book with just a a benefit to my class in the industry. I recommend this book to SAS programmers just entering the complex validation requirements that clinical sitting nearby in conversation. This book is not yet. This review has been hidden amazing Nov 19, Feb 06. The authors' written style allows the programmer's understanding of the and hear Carol and Brian.

Validation is a critical component to programming clinical trial analysis. Essential to effective validation is the programmer's understanding of the data with which they'll be working. Validating Clinical Trial Data Reporting with SAS is designed for SAS programmers who are new to the pharmaceutical industry as well as for those seeking a good foundation for validation in the SAS programming arena. Validating Early Saves Time Developing a Positive Relationship From Validating Clinical Trial Data Reporting with SAS®. Full book available​.