SAS Clinical Online Training

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Acutesoft offers best SAS Clinical Online Course & Online Training. SAS Clinical Data Integration Server 2.1 is a new product offering from SAS that focuses on pharmaceutical industry needs for transforming, managing, and verifying the creation of industry mandated data standards such as Clinical Data Interchange Standards Consortium (CDISC). The product relies upon SAS Data Integration Server to provide centralized metadata management using the SAS Metadata Server and the tools to visually transform data.Online Training Features1. Interactive Learning sessions2. Industry Savvy Trainers3. Learn Right from Your Place4. Customized Curriculum5. Highly Affordable Courses6. Support after Training7.Job Placements We also provide online training on SAP ABAP,SAP OOPS ABAP,SAP ABAP-BI,SAP XI,SAP PI,SAP WEBDYNPRO,SAP BASIS,SAP CRM TECHNICAL,SAP GRC, SAP FICO,SAP SD,SAP WM,SAP PP,SAP MM,SAP SRM,SAP FSCM,SAP MDM,SAP APO, SAP IS RETAIL,SAP CRM,S,SAP BI,SAP BO,SAP HANA,SAP BPC,SAP ESS-MSS,SAP CS,SAP PLM,SAP GTS And SAP SNC.Experience the Quality of our Online Training.For Free Demo Please ContactAcutesoftINDIA : +91 (0)40-42627705 / +91 (0)9848346149USA : +1 973-619-0109/+1 312-235-6527UK : +44 207-993-2319/Email: [email protected]://training.acutesoft.com/sas-clinical-online-training.aspx

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INDIA Acute Soft Solutions India Pvt Ltd USA
Phone: +91 40-42627705 Email: [email protected] | www.acutesoft.com Phone: +1 973-619-0109 (USA)
Mobile: (0) 9848346149 Phone: +1 312-235-6527 (USA)
SAS Clinical Course Content

Overview of the SAS Clinical
 Introduction:
Section: 1
 What is SAS?
 History of SAS
 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
 SAS statements and syntax rules
 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
 Date time 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
Analysis Procedures
 Proc summary
 Proc means
 Proc freq
 Proc Tabulate
 Proc rank

Base SAS BASE/SAS PROCEDURES
 Formats and informats
 Proc sort
 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
Reporting Procedures
 Proc print
 Proc Report
 Proc plot
 Proc chart
 Proc printto
 Proc template
SAS/SQL
 Introduction to sas/sql
 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
 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







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INDIA Acute Soft Solutions India Pvt Ltd USA
Phone: +91 40-42627705 Email: [email protected] | www.acutesoft.com Phone: +1 973-619-0109 (USA)
Mobile: (0) 9848346149 Phone: +1 312-235-6527 (USA)
SAS/GRAPHS AND SAS/PLOTS
 Gchart procedure
 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
 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
 creating html file
 creating rtf file
 Creating Excel
 ODS Tagsets
SAS/STAT
 proc univariate
 proc corr
 proc reg
 proc anova and anacova





Section: 2
SAS in Clinical trials
 Introduction to Clinical trials
 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


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