SAS CLINICAL - Online Training for SAP|Oracle|JAVA|Microsoft|Mobile Apps|Testing|SAS|Hadoop - Acutesoft Solutions
India:+91 (0)9848346149, USA: +1 973-619-0109, UK: +44 207-993-2319 Santosh@acutesoft.com
Select Page

SAS CLINICAL ONLINE TRAINING

SAS CLINICAL ONLINE TRAINING IN INDIA, USA & UK

SAS CLINICAL ONLINE TRAINING IN CANADA

SAS CLINICAL ONLINE TRAINING IN AUSTRALIA

SAS CLINICAL ONLINE TRAINING

SAS CLINICAL COURSE CURRICULUM

Download [PDF]

  • Overview of the SAS
  • What is SAS?
      History of SAS
    1. SAS System architecture and functionalities
      Features of SAS
      Various domains and Modules of SAS
      Introduction to clinical trials
      Where does SAS fit into Clinical and pharmaceutical industry?
      Why only SAS, why not other reporting tools?
      Drug design life cycle
  • Section: 1
  • Base SAS
      SAS statements and syntax rules
    1. SAS variables, data set names & terminology
      SAS windows
      SAS data sets & SAS comments
      Parts of SAS program
      Reading multiple observations & global statements
      Reading raw data with infile statements with options
      Input styles
      Set statement & data set options
      Operators and operands
      Conditional statements and logical statements
      Where statement
      If- then else statement
      Creating & redefining variables
      Updating master data set
      Logical variable and Automatic variables
      Behind the screens (How SAS Process the Code).
      Select statement
      Do loops
      Creating multiple data sets using output statement
      Merging the datasets horizontally and vertically.
      Different types of merging
      Retain statement and goto statement
      Stop and error statements
      SAS functions
      Character function
      Datetime functions
      Numeric functions
      Modifying and combining datasets
      Formats
      Formats and informats
      System defined and user defined
      Character, numeric and datetime formats
      Deleting and finding out duplicate id’s
      Put statement
      Array’s and Dim function
      Local options and global options
      Difference between options and statements
      Libname and filename
      Key board macros, add abbreviations and display manager commands
  • BASE/SAS PROCEDURES
      Proc sort
    1. Proc copy
      Proc datasets
      Proc contents
      Difference between contents procedure and contents statement in proc datasets
      Proc delete
      Proc compare
      Proc append
      Proc options
      Proc format
      Proc import
      Proc export
      Proc setinit
      Proc Transpose
      Proc Cport and Cimport
      Analysis Procedures
      Proc summary
      Proc means
      Proc freq
      Proc Tabulate
      Proc rank
  • Reporting Procedures
      Proc print
    1. Proc Report
      Proc plot
      Proc chart
      Proc printto
      Proc template
  • SAS/SQL
      Introduction to sas/sql
    1. Features, uses and terminology
      Data types, keywords & operators
      Functions, predicates
      Formatting output
      Order by clause
      Group by clause
      Having clause
      Case expression and conditional logic
      Creating, populating, deleting rows & dropping tables
      Alter table command (updating & changing column’s length)
      Changing columns’s formats
      Renaming a table & columns
      Joins and views
      Integrity constraints
      Nested queries
  • SAS/REPORTS AND SAS/TABULATIONS
      Frequency report
    1. One-way frequency report
      Cross tabular frequency report
      Customized reports
      Create user defined template
      Creating a list report
      Define statement
      Order usage and group
      Printing grand totals
      Rbreak statement
      Tabulate procedure
      One-dimensional tables
      Two-dimensional tables
      Obtaining a total
      Analysis variables with options
      Summary statistics
  • SAS/GRAPHS AND SAS/PLOTS
      Gchart procedure
    1. Vertical, horizontal, pie & donut
      Discrete, sumvar and type options
      Group, subgroups
      Title and footnote statements
      Gooptions
      Gplot procedure & g3d procedure
      Multiple plots & overlay
      Symbol statements & interpolation options
  • SAS/MACROS
      Macro Facilities Overeview
    1. Why do we use macros
      How SAS process the macro
      macro Language concepts & advantages
      Components of Macro language
      macros and macro variables
      Macro statements and Macro functions
      Macro expressions and constant text
      creating modular code with macros
      invoking a macro
      Creating Macro Variables (global and local)
      Resolving macro variables
      adding parameters to macros
      writing macros with conditional logic
      using various procedures in macros
      external macros & automatic macro variables
      nesting of macros
      multiple and multi-level macros
      Ways to debug the Macro
  • SAS/ODS
      creating pdf file
    1. creating html file
      creating rtf file
      Creating Excel
      ODS Tagsets
  • SAS/STAT
      proc univariate
    1. proc corr
      proc reg
      proc anova and anacova.
  • Section: 2
  • SAS in Clinical trials
      Introduction to Clinical trials
    1. Drug design Process flow.
      Types of clinical trials
      Phases of clinical trials
      Types of study designs
      Introduction of protocol and SAP
      Roles of SAP In clinical trials
      Different therapeutic areas
      Clinical trial terminology for SAS Programmers
      CDISC Standards and terminology
      Implementation of CDISC standards
      SDTM and ADAM Mapping
      Overview of SDTM Implementation Guide
      Different domains across different Therapeutic areas
      Brief about LAB and ECG domain
      Overview of PKPD
      Safety and efficacy reports
      QC of datasets
      Validation checks
      Good programming practice
      Baseline calculation

SAS CLINICAL OVERVIEW

SAS Clinical Data Integration organizes, standardizes and manages clinical research data and metadata. It provides the foundation you need to define analysis data sets and support strategic analyses such as cross-study and advanced safety analysis. With SAS, you can gain both speed and efficiency by automating repeatable clinical trial data integration tasks.

SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. It is widely used in insurance, public health, scientific research, finance, human resources, IT, utilities, and retail, and is used for operations research, project management, quality improvement, forecasting and decision-making. It is the standard statistical analysis software for submitting clinical pharmaceutical trials to the US Food and Drug administration. SAS provides a graphical point-and-click user interface for non-technical users and more advanced options through the SAS programming language.[1] SAS programs have a DATA step, which retrieves and manipulates data, and a PROC step, which analyzes data.

SAS was the fifth-largest business analytics vendor, and in 2012,spread across almost all of the 12 segments of the market.

Despite increased competition in the advanced analytics market segment, SAS continues to dominate the advanced analytics segment

SAS’ current focus is on porting the company’s tools and applications to the company’s high-performance platform and on promoting the company’s Visual Analytics software.

The former is focused on performance improvements across the company’s broad portfolio of products; the latter is focused on improving end-user experience with SAS tools and applications.

DEMO VIDEOS

UPCOMING DEMOS

For updated Schedules please contact
calls