SAS CLINICAL
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
- Overview of the SAS
- What is SAS?
- History of SAS
- Section: 1
- Base SAS
- SAS statements and syntax rules
- BASE/SAS PROCEDURES
- Proc sort
- Reporting Procedures
- Proc print
- SAS/SQL
- Introduction to sas/sql
- SAS/REPORTS AND SAS/TABULATIONS
- Frequency report
- SAS/GRAPHS AND SAS/PLOTS
- Gchart procedure
- SAS/MACROS
- Macro Facilities Overeview
- SAS/ODS
- creating pdf file
- SAS/STAT
- proc univariate
- Section: 2
- SAS in Clinical trials
- Introduction to Clinical trials
- 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 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
- 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
- Proc Report
- Proc plot
- Proc chart
- Proc printto
- Proc template
- 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
- 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
- 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
- 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
- creating html file
- creating rtf file
- Creating Excel
- ODS Tagsets
- proc corr
- proc reg
- proc anova and anacova.
- 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
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