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CLINICAL DATA MANAGEMENT USING SAS : Learn Hands-On

Features Includes:
  • Self-paced with Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App

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Description

Clinical Data Management (CDM) is an important phase in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials.CDM assures collection, integration and availability of data at appropriate quality and cost. Clinical Data Management supports the conduct, management and analysis of studies across the spectrum of clinical research. SAS is the most popular software for clinical data management.

This course designed is to make the candidates employable as Manager, Medical Advisor, Pharmacovigilance Specialist/Expert/Scientist, CDM Specialist, CDM Data Analyst, Clinical Data Coordinator, Clinical Data Manager, etc in BPOs, Pharmaceutical companies, Contract Research Organizations (CROs),Support Staffs for Clinical Data Management and Biostatistics services to various clients involved with Clinical Research etc. The Program also serves as a sound introduction to CDM and PV domain for other potential players in the industry such as medical practitioners, pharmaceutical scientists etc.


Basic knowledge
  • No Prerequisites is required

What will you learn
  • Clinical data concepts
  • Logistic regression using clinical data
  • Different statistical tools using clinical data
  • Accessing Clinical Data
  • Exploring data & Filtering rows
  • Formatting columns
  • Sorting data and removing duplicates
  • Summarizing Clinical Data
  • Converting variable Data types
  • Merging and Concatenation of Data sets
  • Creating frequency reports
  • Creating summary statistics reports
  • Concept of Interval Estimation and Confidence Intervals
  • Interpreting Statistical measures using univariate procedure
  • Using Structured Query Language in SAS
  • SAS Macro Language
  • Performing one-way and two-way ANOVA on clinical data
  • Understanding the concepts of Linear Regression with clinical data
Course Curriculum
Number of Lectures: 41 Total Duration: 05:23:35
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