The Simplest Guide to Clinical Trials Data Analysis with SAS
The Simplest Guide to Clinical Trials Data Analysis with SAS
Step into the world of Pharmaceutical industry |Clinical Trials |Clinical Research |Biostatistics |Data Management| SAS
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The Simplest Guide to Clinical Trials Data Analysis with SAS is a resource that provides an introduction to the use of SAS software for analyzing data from clinical trials. SAS (Statistical Analysis System) is a popular software tool used by many organizations, including pharmaceutical companies, to analyze and interpret data from clinical studies.
The guide is intended to be a starting point for those who are new to SAS and want to learn how to use the software to analyze clinical trial data. It covers the basics of SAS programming and provides an overview of common statistical analyses used in clinical research, such as t-tests, ANOVA, and regression.
The guide may also discuss the importance of data management and quality control in clinical research and provide tips for organizing and cleaning data sets. It may also cover topics such as creating tables and graphs to summarize data and generating reports for presentation and publication.
Overall, The Simplest Guide to Clinical Trials Data Analysis with SAS is a resource that aims to provide a foundation in the use of SAS for analyzing clinical trial data and may be useful for those working in the healthcare industry, particularly those involved in clinical research.
