Clinical SAS Training in Pune-Mumbai-Thane-online-classroom-classes. SAS Clinicals is a Statistical Analysis Software developed for business intelligence and data management. It brings automation to the data integration process. SAS Clinicals is used to organize, standardize and manage clinical research data and Meta data for data integration. SAS Clinicals helps to analyze data sets and support strategic analyses. .
Clinical SAS Training in Pune
Introduction SAS Programming & Working in SAS Environment.
WORKING WITH THE WINDOW
- Enhance editor window
- Log window
- Output window
- Result window
- Explorer window
- Program editor window
OVERVIEW OF LIBRARIES
- Data view
- Referencing Files in SAS Libraries
Creating SAS program
Components of SAS program
Characteristic & Layout of SAS programs
UNDERSTANDING DATA STEP PROCESSING
- Program data vector (PDV)
- Compilation phase
- Execution phase
- Creating a file shortcuts with the file shortcuts Assignment windows
- Global options
- Local options
- Global statements
- Local statements
- List input
- Column input
- Formatted Input
- Modified Input
- Column pointer
- Line pointer
- Character informats
- Numeric Informats
- Date & time informats
- Character formats
- Numeric formats
- Date & time formats
- Arithmetic function
- String function
- Data & time function
COMBINING SAS DATASETS
- One –to –one merging
- One –to–many merging
- Many –to–one merging
- Many –to –many merging
- Match merging
- If statements & if else statements
- If then else statements
- Where statements
- Loops (do until, do while)
- Array statement
READING RAW DATA FROM EXTERNAL FILES
- Infile statements
- File statements
- DDE triplet
WRITING DATA TO EXTERNAL FILES
- File statements
- Put statements
CREATING MULTIPLE OBSERVATIONS FROM A SINGLE RECORD
- Reading Repeating Blocks of Data
- Holding the Current Record with a Line-Hold Specifier
- Using the Double Trailing At Sign (@) to Hold the Current Record
- Reading the Same Number of Repeating Fields
- Processing a DATA Step That Contains an Iterative DO Loop
- Reading a Varying Number of Repeating Fields
- Using the MISSOVER Option
- Executing SAS Statements While a Condition Is True
- Creating a Counter Variable
- Completing the DO WHILE Loop
- Processing a DATA Step That Has a Varying Number of Repeating Fields
READING DATE AND TIME VALUES
- How SAS Stores Date Values
- Specifying Informats
- MMDDYYw. Informat
- DATEw. Informat
- TIMEw. Informat
- DATETIMEw. Informat
- YEARCUTOFF= SAS System Option
- Using Dates and Times in Calculations
- The WEEKDATEw. Format
- The WORDDATEw. Format
TRANSFORMING DATA WITH SAS
- Understanding SAS Functions
- Uses of SAS Functions
- General Form of SAS Functions
- Arguments, Variable Lists, Arrays
- Target Variables
- Converting Data with Functions
- Introduction to Converting Data
- Potential Problems of Omitting INPUT or PUT
- Automatic Character-to-Numeric Conversion
- When Automatic Conversion Occurs
- Restriction for WHERE Expressions
- Explicit Character-to-Numeric Conversion
- Automatic Numeric-to-Character Conversion
- Explicit Numeric-to-Character Conversion
- Manipulating SAS Date Values with Functions
- SAS Date and Time Values
- SAS Date Functions
- YEAR, QTR, MONTH, and DAY Functions
- Finding the Year
- Finding the Year and Month
- WEEKDAY Function
- MDY Function
- DATE and TODAY Functions
- INTCK Function
- INTNX Function
- DATDIF and YRDIF Functions
- Modifying Character Values with Functions
- Introduction to Modifying Character Values
- SCAN Function
- SUBSTR Function
- Positioning the SUBSTR Function
- SCAN Function Compared with SUBSTR Function
- TRIM Function
- CATX Function
- INDEX Function
- FIND Function
- UPCASE Function
- LOWCASE Function
- PROPCASE Function
- TRANWRD Function
OUTPUT DELIVERY SYSTEM (ODS)
- Fundamentals of ODS
- ODS & the data steps
- Syntax for ODS Enhancement features in data steps
- Introduction to ODS language statements
- Writing SAS program at work
- Fixing programs that don’t work
- Searching for the missing semicolons
- Input statements reached past the end of line statements
- Invalid data
- Missing value were generated
- Numeric values have been converted to character values
- Data step debugger
- Error –invalid options
- Proc print
- Proc sort
- Proc contents
- Proc Append
- Proc import
- Proc export
- Proc copy
- Proc Freq
- Proc calendar
- Proc transpose
- Proc formats
- Proc forms
- Proc Tabulate
- Proc report
- Proc prints
- Proc means
- Proc compare
- Introduction to Graph
- Types of graphs
- Illustration of axis options
- Illustration of symbol options
- Illustration of footnote, note &title
- Introduction to statistics
- Computing statistics for numeric variables
- Proc Regression
- Proc means
- Proc summary
- Proc Freq
BASICS OF SAS MACROS
- Introduction to basics concepts of sas macros
- How to create macro variables
- Types of macro variables
- Macro debugging options
- Macro parameters
SDTM Mapping Process and Introduction to SDTM Implementation Guidelines
REGULATORY ENVIRONMENT: REQUIREMENTS, STANDARDS and CLINICAL DATA
- US Code of Federal Regulations (CFR) Title 21 Part 11 requirements
- Creating the required documentations for effective impact
- FDA expectations and QA Audits
- Clinical data flow and structure
CREATING SUMMARY TABLES,DATA LISTS, and GRAPHS
- Developing Summary Tables
- Developing Data Lists
- Developing Graphs
- Clinical Trials Reporting Templates
Practical Training On Creating TLF Project.
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