One Faculty One Student Online Live Interactive Practical Hands-on Training

SAS CLINICAL BASE SAS

  • Home
  • SAS CLINICAL BASE SAS

Take a short tour in our campus

BioMed Informatics Medwin Hospitals Hyderabad, India provides job oriented globally acclaimed online/classroom training courses that comprises of Pharmacovigilance, Argus Safety Database, Drug Safety Physician, Medical Reviewer, Pharmaceutical Physician, Argus Safety Software Case Processor, Drug Safety Analyst, Medical Writer, Periodic Safety Reports, Clinical Safety Physician, Drug Safety Associate, Clinical Data Management, Oracle Clinical, OC/RDC, SAS, Analytics, SAS Clinical, Biostatistics, Clinical Data Analyst, Clinical SAS Analyst, Business Analyst, Statistical Analysis, Healthcare Data Analyst, Business Analyst Healthcare, Data Science, Machine Learning, Deep Learning, Artificial Intellegence, Neural Networks, Image Processing, Data Analytics, CDISC SDTM, ADaM, TLF/TLGs to the students across the Globe to Countries like India, USA, UK, Australia, Germany, Sweden, Netherlands, Singapore, Europe and Canada over World Wide Web. Online training features include Interactive one to one online sesions, one faculty/student, Regular/Fast track/Weekend, Flexible timings, Training via Skype/TeamViewer with material and resume preparation tips.

Class Room Training - SAS Clinical (Base SAS, Advance SAS and Biostatistics) / Healthcare Data Analyst / Data Analytics / Data Science with Project Experience Certification & Placement Assistance

BioMed Informatics Medwin Hospitals is a leading Clinical Research organization offering trainings since the year of 2000 that are helpful for Life Sciences/Pharmacy/IT students to enter into IT Companies and Pharma, Biotech, CRO industries.

Import – Analysis – Insights – GUI - Export

Healthcare Data Analyst / Data Analytics / Data Science statistical analysis plays a predominant role in finding the safety and efficacy of a drug in Clinical Research. It is very difficult to draw a concrete conclusion from Clinical Research because of inherent differences between two individuals and also from group to group. The extent of this variability in a character is by way of chance, i.e., biological or normal is revealed by statistical methods. Interpretation, drawing conclusions and recommendations play a major role in Clinical Research.

Globally most of the Companies representing IT, Healthcare, Pharmaceutical, Biotechnology, SMO and Contract Research Organizations (CRO) have relied on SAS to interpretate the data.

Certification

Course Certificate & Job Experience Certificate would be awarded at the end of the program.

Course Curriculum

SAS Modules

  • SAS / BASE
  • SAS / STAT
  • SAS / REPORT
  • SAS / ODS
  • SAS / GRAPH
  • SAS / ACCESS
  • SAS / CONNECT
  • SAS / SQL
  • SAS / MACROS
  • LIVE SAS CLINICAL PROJECT

SAS / BASE

  • Introduction to SAS System & Architecture
  • SAS Windowing Environment
  • SAS Libraries
  • Variables & SAS Syntax Rules
  • Data Step and Proc Step
  • Titles & Footnotes
  • Proc Print Statement
  • Proc Print Options
  • Set Statement
  • Dataset Options
  • Options Statement
  • Types of Input Statements
  • Infile Statement With Options
  • Keep, Drop and Rename Statements
  • Update Statement
  • Modify Statement
  • Merging Concepts
  • Interleaving Concept
  • Logical Variables
  • arrow Retain Statement
  • Formats and Informats
  • Conditional Statements
  • SAS Functions
  • Do Statement
  • Randomization


BASE SAS PROCEDURES

  • Proc Sort
  • Proc Append
  • Proc Transpose
  • Proc Contents
  • Proc Format
  • Proc Import
  • Proc Export
  • Proc Compare
  • Proc Copy
  • Proc Options
  • Proc Forms
  • Proc Datasets
  • Proc Printto
  • Proc Calendar


BIOSTATISTICS

  • Introduction To Biostatistics – Clinical Applications
  • Frequency Distribution Of Clinical data
  • Clinical Data Presentation
  • Measures Of Centering Constants
  • Measures Of Dispersion
  • Normal Distribution
  • Null Hypothesis / Alternate Hypothesis
  • p – Value Interpretation
  • Sampling Variation
  • Probability Concepts In Clinical Trials
  • t-Test – Pharma Applications
  • Chi Square test – Adverse Event Analysis
  • Correlation & Regression – Estimation Analysis
  • ANOVA – Efficacy Analysis

SAS / STAT (DATA ANALYSIS)

  • Proc Means (mean, median, std, n, var, cv, range, q, q3, qrange, p50)
  • Proc Univariate
  • Proc Summary
  • Proc TTest (Paired and Unpaired)
  • Proc Anova (One Way, Two Way and Manova)
  • Proc Glm
  • Proc Freq
  • Proc Chisq
  • Proc Corr
  • Proc Reg

SAS / GRAPH

  • Proc Plot
  • Proc Gplot
  • Mutliple Plots & Overlay
  • Symbol Statement
  • Title and Footnote Statements
  • Proc Chart
  • Proc Gchart
  • Vertical, Horizontal, Pie
  • Group, Subgroups
  • Proc G3D
  • Proc Gprint
  • Graph-N-Go

SAS / REPORT

  • Proc Report
  • Column Statements
  • Break/Rbreak Statements
  • Compute Statement
  • Frequency Procedure
  • Proc Tabulate
  • One-Dimensional Tables
  • Two-Dimensional Tables
  • Summary Statistics
  • Proc Summary


SAS / ODS

  • ODS Statements
  • ODS Options
  • Using ODS to Create HTML, PDF, RTF
  • Proc Template
  • Proc Report with ODS


SAS / SQL

  • Introduction to SAS/SQL
  • Proc Sql Statements
  • Proc Sql Options
  • Set Clause
  • Where Clause
  • Order by Clause
  • Group by Clause
  • Having Clause
  • Distinct Clause
  • Formatting Output
  • Case Expression and Conditional Logic
  • Sql Set Operators
  • Joins in Sql
  • Creating ,Populating & Deleting Tables
  • Alter Table Statement
  • Renaming A Table & Columns
  • Changing Column's Length
  • Aggregate Functions
  • Pass Through Facility


SAS / MACROS

  • Macro Concepts
  • Macros And Macro Variables
  • Creating Macro Variables
  • Using Macro Variables
  • Invoking A Macro
  • Passing Arguments to Macros
  • Macro Quoting Functions
  • Macro Options
  • Macro Expressions
  • Macro Character Functions
  • Macro Interface Functions


SAS / ACCESS

  • Import & Export Procedures
  • Proc Access
  • Worksheet Statement


SAS / CONNECT

  • Cimport Procedure
  • Cport Procedure
  • Using Select Statement


LIVE SAS CLINICAL PROJECT

You will be extensively involved in

  • Extracting the data from various internal and external databases (Oracle, MS Access, Excel spreadsheets) using SAS/ACCESS, SAS/INPUT
  • Developing programs for converting the Oracle data into SAS datasets using SQL Pass Through Facility
  • Clinical trial data analysis with different Statistical Procedures
  • Using various statistical procedures to find out the efficiency of the drug as per 21 CFR USFDA Guidelines
  • Interpretation of p-value and drawing conclusions
  • Assigning subjects to different treatment arms with SAS Randomization Programs
  • Creating the reports using the SAS procedures and using ODS statements to generate different output formats like
  • HTML, PDF, RTF and excel to view them in the web browser
  • Creating the statistical reports using Proc Report, Proc Tabulate and SAS Macro
  • Thorough understanding of Protocol, Statistical Analysis Plan (SAP)
  • Analyzing the data and creating tables according to the Statistical Analysis Plan (SAP)
  • Generating the demographic tables, adverse events and serious adverse events reports
  • Using the SAS procedures (MEANS, FREQ, SUMMARY, TRANSPOSE, TABULATE, REPORT etc) and SAS/STAT procedures (REG, CORR, GLM, ANOVA and UNIVARIATE etc.) for summarization, cross-tabulations and statistical analysis
  • Manipulation of SAS datasets using SET, MERGE, UPDATE, MODIFY and Conditional statements
  • Generating Graphs and Figures using PROC CHART, PROC GCHART, PROC PLOT, PROC GPLOT and Graph-N-Go
  • Validation and QC of the efficacy and safety tables
  • Using PROC EXPORT and Export wizard to Transfer SAS data to external data sources
  • Providing programming support for the creation and maintenance of programs used in Data Management, Data Validation, Data Cleaning and Statistical Report Generation
  • Extensive Applications in SAS/SQL, SAS/ACCESS, SAS/CONNECT and SAS Macros
  • Generating Tables, Listings, Figures/Graphs (TLFs or TLGs)
  • Working with datasets such as DM (Demographics), LB (Laboratory), MH (Medical History), AE (Adverse Events), VS (Vital Signs), CM (Concomitant Medication)
  • Manipulation and Reporting of clinical data using PROC SQL
  • Extensive programming in writing and debugging the Macro routines and applying Macro variables in SAS program
  • CDISC Standards (SDTM, ADaM, LAB, ODM)
  • Live SAS Clinical Projects