Clinical Data Management


Why this course ?

  • 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.

Become clinical data analyst

Program Duration
and Fees

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5.5 Hr




What is Clinical Data Management ?
What is Clinical Data ?
Clinical Data Management Activities
The SAS programming process
Accessing Clinical Data
Exploring data
Filtering rows
Formatting columns
Sorting data and removing duplicates
Computing new columns
Conditional processing
Accumulating Variable
Summarizing Clinical Data
Converting variable Data types
Merging and Concatenation of Data sets
Enhancing Reports with titles, footnotes, and labels
Creating frequency reports
Creating summary statistics reports
Creating Tabulated reports part
Exporting data
Exporting reports
Descriptive Statistics & Inferential statistics
Concept of Interval Estimation and Confidence Intervals
Interpreting Statistical measures using univariate procedure
One sample t test and two Independent sample t test
Paired Sample t test and chi square
Performing one-way ANOVA
Performing two-way ANOVA
Understanding the concepts of Linear Regression
Practical Applications of Linear Regression in SAS
Producing Correlations with the CORR procedure
Understanding the concepts of Logistic Regression
Practical Applications of Logistic Regression in SAS
Using Structured Query Language in SAS
SQL SAS Essentials
SAS Macro Language




Course Name: Clinical Data Management