SAS Clinical Training Course

BIT's SAS CLINICAL Online Training Course provides insights into clinical trials and their aspects. The course deals with designing, analysing and generating reports and explained them in support of real-time data.

  • 50000
  • 55000
  • Course Includes
  • Live Class Practical Oriented Training
  • 70 + Hrs Instructor LED Training
  • 45 + Hrs Practical Exercise
  • 25 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option


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What you will learn

  • Extracting data from various internal & external databases (Oracle, MS Access, Excel spreadsheets) using SAS/ACCESS, SAS...
  • Developing programs for converting the Oracle data into SAS datasets using SQL Pass Through Facility
  • Clinical trial data analysis with different Statistical Procedures
  • Creating the statistical reports using Proc Report, Proc Tabulate and SAS Macro
  • Analyzing the data and creating tables according to the Statistical Analysis Plan (SAP)
  • Manipulation of SAS datasets using SET, MERGE, UPDATE, MODIFY and Conditional statements
  • Extensive Applications in SAS/SQL, SAS/ACCESS, SAS/CONNECT and SAS Macros
  • Decide reference intervals for safety and diagnostic measures
  • Extensive programming in writing and debugging the Macro routines and applying Macro variables in SAS program
  • Using PROC EXPORT and Export wizard to Transfer SAS data to external data sources
  • Generating the demographic tables, adverse events and serious adverse events reports
  • Generating Graphs and Figures using PROC CHART, PROC GCHART, PROC PLOT, PROC GPLOT and Graph-N-Go

Requirements

  • Knowledge of Base SAS. Deep understanding of clinical programming concepts. Basic understanding of statistics.

Description

|| About SAS Clinical Training Course

BIT’s SAS Clinical Professional Online Training Course that is designed to train students in applying SAS programming skills to clinical trials. SAS Clinical training provides insight on the practical aspects of clinical trials. How to design, analyze and generate reports are explained in support of real time data. The skills of writing SAS programs, importing/exporting data and transforming it further for performing analysis on it is imparted by the industry experts. The training will equip the candidates with theoretical knowledge, practical experience, detailed description of programs, and key techniques involved in the clinical trial analysis.

SAS is a statistical analysis software suite for advanced analytics, data management, and clinical trial data analysis. You can use SAS software through both a graphical interface and the SAS programming language for various data analysis. Clinical SAS programmers have a lot of demand in the industry. In the clinical industry whenever any drug is released into the market that drug needs to get approval from FDA or equivalent regulatory bodies. To get approval clinical trial data analysis needed. Only SAS programmers can do clinical trial data analysis. There is a huge scope of SAS for a fresher and experienced person.

Course Content

Lecture -1 Fundamentals of Trial Design

·   Randomized Clinical Trials

·   Uncontrolled Trials

·   Protocol Development

·   Endpoints

·   Patient Selection

·   Source and Control of Bias

·   Randomization

·   Blinding

·   Sample Size and Power

·   Practical Exercise

Lecture -2 Alternative Trial Designs

·   Crossover Trials

·   Factorial Design

·   Equivalence Trials

·   Bioequivalence Trials

·   Noninferiority Trials

·   Cluster Randomized Trials

·   Multicenter Trials

·   Practical Exercise

Lecture -3 Basics of Statistical Analysis

·   Types of Data and Normal Distribution

·   Significance Tests and Confidence Intervals

·   Comparison of Means

·   Comparison of Proportions

·   Analysis of Survival Data  235

·   Practical Exercise

Lecture -4 Special Trial Issues In Data Analysis

·   Intention-to-Treat Analysis

·   Subgroup Analysis

·   Regression Analysis

·   Adjustment for Covariates

·   Confounding

·   Interaction

·   Repeated Measurements

·   Multiplicity

·   Missing Data

·   Interim Monitoring and Stopping Rules

·   Practical Exercise

Lecture -5 Reporting of Trials

·   Overview of Reporting

·   Trial Profile

·   Presenting Baseline Data

·   Use of Tables

·   Use of Figures

·   Critical Appraisal of a Report

·   Meta-Analysis

·   Practical Exercise

Lecture -6 Environment and Guiding Principles

·   Preparing and Classifying Clinical

·   Importing Data

·   Transforming Data and Creating Analysis

·   Creating Tables and Listings

·   Creating Tables

·   General Approach to Creating Tables

·   Using PROC TABULATE to Create Clinical Trial Tables

·   Using PROC REPORT to Create Clinical Trial Tables

·   Creating Continuous/Categorical Summary Tables

·   Creating Adverse Event Summaries

·   Creating Concomitant or Prior Medication Tables

·   Creating a Laboratory Shift Table

·   Practical Exercise

Lecture -7 Creating Clinical Trial Graphs

·   Common Clinical Trial Graphs

·   Scatter Plot

·   Line Plot

·   Bar Chart

·   Box Plot

·   Odds Ratio Plot

·   Kaplan-Meier Survival Estimates Plot

·   Practical Exercise

Lecture -8 Performing Common Analyses and Obtaining

·   Statistics

·   Obtaining Descriptive Statistics

·   Using PROC FREQ to Export Descriptive Statistics

·   Using PROC UNIVARIATE to Export Descriptive Statistics

·   Obtaining Inferential Statistics from Categorical Data Analysis

·   Performing a 2x2 Test for Association

·   Performing an NxP Test for Association

·   Performing a Stratified NxP Test for Association

·   Performing Logistic Regression

·   Obtaining Inferential Statistics from Continuous Data Analysis

·   Performing a One-Sample Test of the Mean

·   Performing a Two-Sample Test of the Means

·   Performing an N-Sample Test of the Means

·   Obtaining Time-to-Event Analysis Statistics

·   Obtaining Correlation Coefficients

·   General Approach to Obtaining Statistics

·   Practical Exercise

Lecture -9 Exporting Data- The Future of SAS Programming in Clinical Trials

·   Changes in the Business Environment

·   Changes in Technology

·   Changes in Regulations

·   Changes in Standards

·   Use of SAS Software in the Clinical Trial Industry

·   Practical Exercise

Lecture -10 Analysis of Stratified Data

·   Introduction

·   Continuous Endpoints

·   Categorical Endpoints

·   Time-to-Event Endpoints

·   Tests for Qualitative Interactions

·   Practical Exercise

Lecture -11 Multiple Comparisons and Multiple Endpoints

·   Introduction

·   Single-Step Tests

·   Closed Testing Methods

·   Fixed-Sequence Testing Methods

·   Resampling-Based Testing Methods

·   Testing Procedures for Multiple Endpoints

·   Gatekeeping Strategies

·   Practical Exercise

Lecture -12 Analysis of Safety and Diagnostic Data

·   Introduction

·   Reference Intervals for Safety and Diagnostic Measures

·   Analysis of Shift Tables

·   Practical Exercise

Lecture -13 Interim Data Monitoring

·   Introduction

·   Repeated Significance Tests

·   Stochastic Curtailment Tests

·   Analysis of Incomplete Data

·   Introduction

·   Case Studies

·   Data Setting and Modeling Framework

·   Analysis of Complete Growth Data

·   Simple Methods and MCAR

·   Available Case Methods

·   Likelihood-Based Ignorable Analyses

·   Multiple Imputations

·   The EM Algorithm

·   Categorical Data

·   MNAR and Sensitivity Analysis

·   Practical Exercise

Live Lecture

Fees

Offline Training @ Vadodara

  • Classroom Based Training
  • Practical Based Training
  • No Cost EMI Option
60000 55000

Online Training preferred

  • Live Virtual Classroom Training
  • 1:1 Doubt Resolution Sessions
  • Recorded Live Lectures*
  • Flexible Schedule
55000 50000

Corporate Training

  • Customized Learning
  • Onsite Based Corporate Training
  • Online Corporate Training
  • Certified Corporate Training

Certification

  • Upon the completion of the Classroom training, you will have an Offline exam that will help you prepare for the Professional certification exam and score top marks. The BIT Certification is awarded upon successfully completing an offline exam after reviewed by experts
  • Upon the completion of the training, you will have an online exam that will help you prepare for the Professional certification exam and score top marks. BIT Certification is awarded upon successfully completing an online exam after reviewed by experts.
  • This course is designed to clear SAS Certification Exam: exam ID A00-280 Clinical Trials Programming Using SAS 9