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Course Details

SAS Clinical Data Integration is a new product released from SAS which throws a light on pharmaceutical industry for managing, verifying and transforming the industry mandated data standards such as the Clinical Data Interchange Standards Consortium (CDISC). The product relies on SAS Data Integration to deliver centralized metadata management using the SAS Metadata Server. SAS 9.4 Clinical Training enhances usability by adding new metadata types, wizards and plug-ins that assist with clinically oriented tasks.

SAS Clinical Training Overview

Our Clinical SAS Training Program is designed to educate novice programmers as well as meet the demands of experienced software professionals. We help you develop your skills and be competent to the market requirement. Our SAS 9.4 Clinical course covers the fundamental concepts to advanced topics. SAS Clinical Data Integration provides specialized interfaces that further leverage the metadata to help you work more effectively.

Clinical SAS Training Curriculum

SAS Clinical Data Integration organizes, standardizes and manages clinical research data and metadata. In this module, we will discuss about Research process, different Programming requirement and many more..

Describe the clinical research process (phases, key roles, key organizations)
Interpret a Statistical Analysis Plan
Derive programming requirements from an SAP and an annotated Case Report
Describe regulatory requirements (principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices)

Learn what is the purpose, Structures of CDISC SDTM data model, Different types of clinical trials and also the principles of CDISC.

Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.)
Identify key CDISC principles and terms
Describe the structure and purpose of the CDISC SDTM data model
Describe the structure and purpose of the CDISC ADaM data model
Describe the contents and purpose of define.xml

This session provides an Clincial Trials that can import, export data by using the requirements of SAS V5.

Apply regulatory requirements to export SAS data sets (SAS V5 requirements)

In this module, we will provide the concept of SQL procedure to access DICTIONARY Tables and also to manage clinical trials as Input data.

Access DICTIONARY Tables using the SQL procedure
Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc)

Here you will learn, how to transform the Clinical Trial Data by applying the ‘observation carry forward’ technique, calculating the results by ‘change from baseline’ and finally how to obtain the count of events in Clinical Trials.

Apply categorization and windowing techniques to clinical trials data
Transpose SAS data sets
Apply ‘observation carry forward’ techniques to clinical trials data (LOCF, BOCF, WOCF)
Calculate ‘change from baseline’ results
Obtain counts of events in clinical trials

Learn, how to apply Statistical Procedures for Clinical Trials, How to use PROC FREQ, PROC TTEST to obtain p-values for categorical and continuous data respectively and also how to create output data sets in SAS Clinical.

Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, SUMMARY)
Use PROC FREQ to obtain p-values for categorical data (2×2 and NxP test for association)
Use PROC TTEST to obtain p-values for continuous data (one-sample, paired and two-sample t-tests)
Create output data sets from statistical procedures

This Macro Programming is especially useful for a large data set and huge time saver. In this session, you have an brief understanding on creation of macro variables, how to call the macros and options used to debug macro and display them in log format.

Create and use user-defined and automatic macro variables
Automate programs by defining and calling macros
Use system options to debug macros and display values of macro variables in the SAS log (MPRINT, SYMBOLGEN, MLOGIC, MACROGEN)

This module focuses on how to produce tables and list clinical trial reports using PROC REPORT and ODC global statements respectively.

Use PROC REPORT to produce tables and listings for clinical trials
Reports Use ODS and global statements to produce and augment clinical trials reports

Validation is a critical component to program clinical trial analysis. Essential to effective validation is the programmer’s understanding of the data with which they’ll be working. In this module, you will learn about principles of validation, identify the logic errors and process to resolve them.

Explain the principles of programming validation in the clinical trial industry
Utilize the log file to validate clinical trial data reporting
Use programming techniques to validate clinical trial data reporting (PROC COMPARE, MSGLEVEL)
Identify and Resolve data syntax and logic errors

Faqs

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Training itself is Real-time Project Oriented.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

There are some Group discounts available if the participants are more than 2.

As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like

New York, New jersey, Dallas, Seattle, Baltimore, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, St. Louis, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Alexandria, Sunnyvale, Santa clara, Carlsbad, San Marcos, Franklin,Tacoma, Bellevue, Austin, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubbai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland etc…

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Learning Resources

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