SAS Clinical Online Training Course Content

Chapter 1: INTRODUCTION TO SAS

  • INTRODUCTION
  • NEED FOR SAS
  • WHO USES SAS
  • WHAT IS SAS?
  • OVERVIEW OF BASE SAS SOFTWARE
  • DATA MANAGEMENT FACILITY
  • STRUCTURE OF SAS DATASET
  • SAS PROGRAM
  • PROGRAMMING LANGUAGE
  • ELEMENTS OF THE SAS LANGUAGE
  • RULES FOR SAS STATEMENTS
  • RULES FOR MOST SAS NAMES
  • SPECIAL RULES FOR VARIABLE NAMES
  • TYPES OF VARIABLES
  • DATA ANALYSIS AND REPORTING UTILITIES
  • TRADITIONAL OUTPUT
  • WAYS TO RUN SAS PROGRAMS
  • SAS WINDOWING ENVIRONMENT
  • NONINTERACTIVE MODE
  • BATCH MODE
  • INTERACTIVE LINE MODE
  • RUNNING PROGRAMS IN THE SAS WINDOWING ENVIRONMENT

Chapter 2: HOW SAS WORKS

  • WRITING YOUR FIRST SAS PROGRAM
  • A SIMPLE PROGRAM TO READ RAW DATA AND PRODUCE A REPORT
  • ENHANCING THE PROGRAM
  • MORE ON COMMENT STATEMENTS
  • INTERNAL PROCESSING IN SAS
  • HOW SAS WORKS
  • THE COMPILATION PHASE
  • THE EXECUTION PHASE
  • PROCESSING A DATA STEP: A WALKTHROUGH
  • CREATING THE INPUT BUFFER AND THE PROGRAM DATA VECTOR
  • WRITING AN OBSERVATION TO THE SAS DATA SET
  • FOUR TYPES OF SAS LIBRARIES
  • SAS LIBRARIES
  • WORK LIBRARY
  • SASHELP LIBRARY
  • SASUSER LIBRARY

Chapter 3: READING RAW DATA INTO SAS

  • WHAT IS RAW DATA
  • DEFINITIONS
  • DATA VALUES
  • NUMERIC VALUE
  • CHARACTER VALUE
  • STANDARD DATA
  • NONSTANDARD DATA
  • NUMERIC DATA
  • CHARACTER DATA
  • CHOOSING AN INPUT STYLE
  • LIST INPUT
  • MODIFIED LIST INPUT
  • COLUMN INPUT
  • FORMATTED INPUT
  • NAMED INPUT
  • INSTREAM DATA
  • CREATING MULTIPLE RECORDS FROM SINGLE INPUT ROW
  • READING DATA FROM EXTERNAL FILES
  • READING BLANK SEPARATED VALUES (LIST OR FREE FORM DATA):
  • READING RAW DATA SEPARATED BY COMMAS (.CSV FILES):
  • READING IN RAW DATA SEPARATED BY TABS (.TXT FILES):
  • USING INFORMATS WITH LIST INPUT
  • SUPPLYING AN INFORMAT STATEMENT WITH LIST INPUT
  • USING LIST INPUT WITH EMBEDDED DELIMITERS
  • READING RAW DATA THAT ARE ALIGNED IN COLUMNS:
  • METHOD 1: COLUMN INPUT
  • METHOD 2: FORMATTED INPUT
  • USING MORE THAN ONE INPUT STATEMENT: THE SINGLE TRAILING @
  • READING COLUMN DATA THAT IS ON MORE THAN ONE LINE
  • MIXED-STYLE INPUT:
  • INFILE OPTIONS FOR SPECIAL SITUATIONS
  • FLOWOVER
  • MISSOVER
  • TRUNCOVER
  • PAD
  • USING LRECL TO READ VERY LONG LINES OF RAW DATA
  • CHECKING YOUR DATA AFTER IT HAS BEEN READ INTO SAS

Chapter 4: READING DATA FROM A DATASET

  • INTRODUCTION
  • SET STATEMENT OVERVIEW
  • AUTOMATIC VARIABLES IN SAS
  • INTERLEAVE MULTIPLE SAS DATA SETS
  • COMBINE MULTIPLE SAS DATA SETS
  • CREATING & MODIFYING VARIABLES
  • CREATING MULTIPLE DATASETS IN A SINGLE DATA-STEP
  • SUBSETTING OBSERVATIONS
  • CONDITIONAL SAS STATEMENTS
  • LOGICAL AND SPECIAL OPERATORS
  • THE SAS SUPERVISOR AND THE SET STATEMENT
  • EFFICIENCY AND THE SET STATEMENT
  • KNOW YOUR DATA
  • SET STATEMENT DATA SET OPTIONS
  • DROP AND KEEP OPTIONS
  • RENAME OPTION
  • FIRSTOBS AND OBS OPTIONS
  • IN OPTION -
  • WHERE OPTION -
  • OTHER SET STATEMENT OPTIONS
  • END OPTION
  • KEY OPTION
  • NOBS OPTION
  • POINT OPTION
  • DO LOOPS AND THE SET STATEMENT
  • INTRODUCTION TO RETAIN STATEMENT
  • CARRY OVER VALUES FROM ONE OBSERVATION TO ANOTHER
  • COMPARE VALUES ACROSS OBSERVATIONS
  • ASSIGN INITIAL VALUES
  • DETERMINING COLUMN ORDER IN OUTPUT DATASET
  • SAS SYSTEM OPTIONS

Chapter 5: READING DATA FROM A DATASET

    • INPUT SAS DATA SET FOR EXAMPLE
    • SELECTING OBSERVATIONS FOR A NEW SAS DATA SET
    • DELETING OBSERVATIONS BASED ON A CONDITION
    • ACCEPTING OBSERVATIONS BASED ON A CONDITION
    • COMPARING THE DELETE AND SUBSETTING IF STATEMENTS
    • METHODS OF CREATING NEW DATA SETS WITH A SUBSET
    • SUBSETTING RECORDS FROM AN EXTERNAL FILE WITH A SUBSETTING IF STATEMENT
    • SUBSETTING OBSERVATIONS IN A DATA STEP WITH A WHERE STATEMENT
    • SUBSETTING OBSERVATIONS IN A PROC STEP WITH A WHERE STATEMENT
    • SUBSETTING OBSERVATIONS IN PROC SQL
    • DIFFERENCE BETWEEN IF AND WHERE
    • Chapter 6: SAS INFORMATS AND FORMATS

      • OVERVIEW
      • USING SAS INFORMATS
      • INPUT STATEMENT
      • INPUT FUNCTION
      • INPUTN AND INPUTC FUNCTIONS
      • ATTRIB AND INFORMAT STATEMENTS
      • USING SAS FORMATS
      • FORMAT STATEMENT IN PROCEDURES
      • PUT STATEMENT
      • PUT FUNCTION
      • PUTN AND PUTC FUNCTIONS
      • BESTw. Format
      • ADDITIONAL COMMENTS

      Chapter 7: SAS FUNCTIONS

      • CATEGORIES OF FUNCTIONS
      • SAS CHARACTER FUNCTIONS
      • FUNCTIONS THAT CHANGE THE CASE OF CHARACTERS
      • UPCASE
      • LOWCASE
      • PROPCASE
      • FUNCTIONS THAT REMOVE CHARACTERS FROM STRINGS
      • FUNCTION: COMPBL
      • FUNCTION: COMPRESS
      • FUNCTIONS THAT SEARCH FOR CHARACTERS
      • FUNCTION: ANYALNUM
      • FUNCTION: ANYALPHA
      • FUNCTION: ANYDIGIT
      • FUNCTION: ANYPUNCT
      • FUNCTION: ANYSPACE
      • FUNCTION: NOTALNUM
      • FUNCTION: NOTALPHA
      • FUNCTION: NOTDIGIT
      • FUNCTION: NOTUPPER
      • FUNCTIONS THAT SEARCH STRINGS
      • FIND AND FINDC
      • INDEX, INDEXC, AND INDEXW
      • FUNCTIONS TO VERIFY DATA
      • FUNCTION VERIFY
      • FUNCTIONS THAT EXTRACT PARTS OF STRINGS
      • FUNCTION: SUBSTR (ON THE LEFT-HAND SIDE OF THE EQUAL SIGN)
      • FUNCTION: SUBSTRN
      • FUNCTIONS THAT JOIN TWO OR MORE STRINGS TOGETHER
      • FUNCTION: CAT
      • FUNCTION: CATS
      • FUNCTION: CATT
      • FUNCTION: CATX
      • FUNCTIONS THAT REMOVE BLANKS FROM STRINGS
      • FUNCTION: LEFT
      • FUNCTION: RIGHT
      • FUNCTION: TRIM
      • FUNCTION: TRIMN
      • FUNCTION: STRIP
      • FUNCTIONS THAT COMPARE STRINGS
      • FUNCTION: COMPARE
      • FUNCTIONS THAT DIVIDE STRINGS INTO "WORDS"
      • FUNCTION: SCAN
      • FUNCTION: SCANQ
      • FUNCTIONS THAT SUBSTITUTE LETTERS OR WORDS IN STRINGS
      • FUNCTION: TRANSLATE
      • FUNCTION: TRANWRD
      • FUNCTIONS THAT COMPUTE THE LENGTH OF STRINGS
      • FUNCTION: LENGTH
      • FUNCTION: LENGTHC
      • FUNCTION: LENGTHM
      • FUNCTION: LENGTHN
      • FUNCTIONS THAT COUNT THE NUMBER OF LETTERS OR SUBSTRINGS IN A STRING
      • FUNCTION: COUNT
      • FUNCTION: COUNTC
      • MISCELLANEOUS STRING FUNCTIONS
      • FUNCTION: MISSING
      • FUNCTION: REPEAT
      • FUNCTION: REVERSE
      • SAS DATE AND TIME FUNCTIONS
      • INTRODUCTION
      • WHAT IS A SAS DATE AND TIME LITERAL?
      • DATE AND TIME FUNCTIONS
      • FUNCTINS TO CREATE DATE AND TIME VALUES
      • FUNCTIONS TO TAKIE DATETIME VALUES APART
      • FUNCTIONS TO GET QUARTER ,YEAR OR DAY OF THE DATE
      • FUNCTIONS THAT WORK WITH INTERVALS
      • USING FORMATS FOR DATE AND TIME
      • SYSTEM OPTIONS FORDATE AND TIME

      Chapter 8: AN INTRODUCTION TO ARRAYS AND ARRAY PROCESSING

      • WHY DO WE NEED ARRAYS?
      • BASIC ARRAY CONCEPTS
      • ARRAY STATEMENT
      • ARRAY REFERENCES
      • VARIABLE NAME ARRAY REFERENCE
      • USING ARRAY INDEXES
      • ONE DIMENSION ARRAYS
      • MULTI-DIMENSION ARRAYS
      • TEMPORARY ARRAYS
      • SORTING ARRAYS
      • Determining Array Bounds: LBOUND and HBOUND Functions
      • WHEN TO USE ARRAYS
      • COMMON ERRORS AND MISUNDERSTANDINGS
      • INVALID INDEX RANGE
      • FUNCTION NAME AS AN ARRAY NAME
      • ARRAY REFERENCED IN MULTIPLE DATA STEPS, BUT DEFINED IN ONLY ONE

      Chapter 9: BY - GROUP PROCESSING

      • DEFINITIONS FOR BY-GROUP PROCESSING
      • BY-GROUP PROCESSING
      • BY VALUE
      • BY GROUP
      • FIRST.VARIABLE AND LAST.VARIABLE
      • MODIFYING SAS DATA SETS: EXAMPLES.
      • INVOKING BY-GROUP PROCESSING
      • PREPROCESSING INPUT DATA FOR BY-GROUP PROCESSING
      • SORTING OBSERVATIONS FOR BY-GROUP PROCESSING
      • INDEXING FOR BY-GROUP PROCESSING
      • HOW THE DATA STEP IDENTIFIES BY GROUPS
      • PROCESSING OBSERVATIONS IN A BY GROUP
      • HOW SAS DETERMINES FIRST.VARIABLE AND LAST.VARIABLE
      • PROCESSING BY-GROUPS IN THE DATA STEP
      • OVERVIEW
      • PROCESSING BY-GROUPS CONDITIONALLY
      • DATA NOT IN ALPHABETIC OR NUMERIC ORDER
      • DATA GROUPED BY FORMATTED VALUES

      Chapter 10: OVERVIEW OF METHODS FOR COMBINING SAS DATA SETS

        • DEFINITIONS
        • CONCATENATING
        • INTERLEAVING
        • ONE-TO- ONE READING OR ONE-TO-ONE MERGING
        • MATCH-MERGING
        • UPDATING
        • MODIFYING
        • DEFINITIONS FOR READING, COMBINING, AND MODIFYING SAS DATA SETS
        • READING A SAS DATA SET
        • COMBINING SAS DATA SETS
        • MODIFYING SAS DATA SETS
        • OVERVIEW OF TOOLS
        • READING SAS DATA SETS
        • READING A SINGLE SAS DATA SET
        • READING FROM MULTIPLE SAS DATA SETS
        • COMBINING SAS DATA SETS: BASIC CONCEPTS
        • ONE-TO-ONE
        • ONE-TO-MANY AND MANY-TO-ONE
        • MANY-TO-MANY
        • ACCESS METHODS: SEQUENTIAL VERSUS DIRECT
        • SEQUENTIAL ACCESS
        • DIRECT ACCESS
        • ONE-TO-ONE READING
        • DATA STEP PROCESSING DURING A ONE-TO-ONE READING
        • ONE-TO-ONE MERGING
        • MATCH-MERGING
        • UPDATING WITH THE UPDATE AND THE MODIFY STATEMENTS :
        • DEFINITIONS
        • SYNTAX OF THE UPDATE STATEMENT
        • SYNTAX OF THE MODIFY STATEMENT -
        • UPDATING WITH NONMATCHED OBSERVATIONS, MISSING VALUES, AND NEW VARIABLES -
        • USING AN INDEX WITH THE MODIFY STATEMENT

          Chapter 11: SAS PROCEDURES

          • INTRODUCTION
          • THE ANATOMY OF A PROC
          • THE PROC STATEMENT
          • TITLE AND FOOTNOTE STATEMENTS
          • BY STATEMENT
          • LABEL STATEMENT
          • FORMAT STATEMENT
          • RUN OR QUIT STATEMENT
          • DESCRIPTION OF DATA USED IN REPORTS
          • SAS REPORTING PROCEDURES
          • PROCS FOR ALL THAT DETAIL
          • USING PROC PRINT
          • USING PROC SQL
          • PROC REPORT
          • PROCS THAT SUMMARIZE
          • USING PROC CHART
          • USING PROC FREQ
          • USING PROC MEANS
          • USING PROC UNIVARIATE
          • INTRODUCTION TO PROC TABULATE
          • DATA MANIPULATION AND MANAGEMENT PROCEDURE
          • PROC SORT
          • PROC DATASETS
          • PROC FORMAT
          • PROC CONTENTS
          • OTHER IMPORTANT PROCS
          • PROC TRANSPOSE
          • DEFINITIONS
          • PROC PRINTTO
          • COMPARE PROCEDURE
          • PROC APPEND
          • HOW TO IMPORT AN EXCEL FILE INTO SAS

          Chapter 12: INTRODUCTION TO PROC SQL

          • INTRODUCTION
          • WHY LEARN PROC SQL?
          • SELECT STATEMENT
          • THE SELECT STATEMENT SYNTAX
          • A SIMPLE PROC SQL
          • A COMPLEX PROC SQL
          • LIMITING INFORMATION ON THE SELECT
          • CREATING NEW VARIABLES
          • THE CALCULATED OPTION ON THE SELECT
          • USING LABELS AND FORMATS
          • THE CASE EXPRESSION ON THE SELECT
          • ADDITIONAL SELECT STATEMENT CLAUSES
          • REMERGING
          • REMERGING FOR TOTALS
          • CALCULATING PERCENTAGE
          • SORTING THE DATA IN PROC SQL
          • SORT ON NEW COLUMN
          • SUBSETTING USING THE WHERE
          • INCORRECT WHERE CLAUSE
          • WHERE ON COMPUTED COLUMN
          • SELECTION ON GROUP COLUMN
          • USE HAVING CLAUSE
          • CREATING NEW TABLES
          • JOINING DATASETS USING PROC SQL
          • INNER JOIN
          • JOINING THREE OR MORE TABLES
          • OUTER JOINS
          • INCLUDING NONMATCHING ROWS WITH THE RIGHT OUTER JOIN
          • SELECTING ALL ROWS WITH THE FULL OUTER JOIN
          • CONCATENATING QUERY RESULTS

          Chapter 13: AN INTRODUCTION TO SAS MACROS

          • INTRODUCTION
          • SAS MACRO OVERVIEW
          • TRADITIONAL SAS PROGRAMMING
          • THE SAS MACRO LANGUAGE
          • MACRO LANGUAGE COMPONENTS
          • MACRO VARIABLES
          • MACRO STATEMENTS
          • MACRO PROCESSOR FLOW
          • AUTOMATIC MACRO VARIABLES
          • MACRO DEBUGGING OPTIONS
          • WHAT IS A MACRO?
          • DEFINING AND USING MACROS
          • POSITIONAL MACRO PARAMETERS
          • KEYWORD MACRO PARAMETERS
          • CONDITIONAL MACRO COMPILATION
          • THE %DO STATEMENT
          • SAS DATA STEP INTERFACES

          Chapter 14: THE OUTPUT DELIVERY SYSTEM (ODS)

          • INTRODUCTION
          • CREATING VARIOUS TYPES OF REPORTS LISTING OUTPUT
          • OTHER DESTINATIONS
          • HTML
          • PDF AND POSTSCRIPT
          • RTF FILES
          • MICROSOFT EXCEL
          • ADDING STYLE TO YOUR REPORTS
          • LOCATE EXISTING STYLES
          • ODS STYLE= OPTION
          • CUSTOMIZE YOUR REPORTS
          • ODS SELECT; AND ODS EXCLUDE;
          • OTHER CUSTOMIZATIONS
          • ODS PROCLABEL= ;
          • ODS PROCTITLE; AND ODS NOPROCTITLE;
          • ADVANCED TECHNIQUES
          • ODS DOCUMENT
          • PROC TEMPLATE

          Chapter 15: INTRODUCTION TO DIAGNOSING AND AVOIDING ERRORS

          • INTRODUCTION
          • UNDERSTANDING HOW THE SAS SUPERVISOR CHECKS A JOB
          • UNDERSTANDING HOW SAS PROCESSES ERRORS
          • DISTINGUISHING TYPES OF ERRORS .SAS RECOGNIZES FOUR KINDS OF ERRORS:
          • SYNTAX ERRORS
          • EXECUTION-TIME ERRORS
          • DATA ERRORS
          • SEMANTIC ERRORS
          • DIAGNOSING ERRORS
          • DIAGNOSING SYNTAX ERRORS
          • DIAGNOSING DATA ERRORS
          • USING A QUALITY CONTROL CHECKLIST

          Chapter 16: Introduction to Clinical research

          • SAS role in Clinical Research
          • Project Management in Clinical Research
          • What is Clinical Research
          • What is Protocol and role of Protocol in Clinical Research?
          • What is randomization and non randomization?
          • Which is playing main role in Clinical Research?
          • What is SOP (Standard Operating Procedure)
          • Role of DBMS team in Clinical Research
          • What is CDM (Clinical Data Management)?
          • What is SAP (Statistical Analysis Plan)?
          • Role of SAP in Clinical Research
          • SAS Work Flow in Clinical Research
          • Relation between SAS and DBMS
          • Interaction between SAS with CDMs for data access
          • Various report generation in Clinical Research

          Chapter 17: APPLICATION OF SAS IN CLINICAL DOMAIN

            • INTRODUCTION TO CLINICAL DOMAIN
            • DATA ACCESSING
            • DATA VALIDATION
            • DATA CLEANSING
            • PREPARING ANALYSIS DATASETS
            • DATA ANALYSIS
            • DATA PRESENTATION
            • REPORT VALIDATION
            • PRACTICAL APPLICATION WITH PROJECT