SAS Clinical Training Course Online Course

SAS Clinical Training Course

All levels
English

Course Description

SAS Clinical Professional 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.

See more less

What you’ll learn

Live Class Practical Oriented Training
Timely Doubt Resolution
Dedicated Student Success Mentor
Certification & Job Assistance
Free Access to Workshop & Webinar
No Cost EMI Option
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

Covering Topics

Part 1: Clinical Trials a Practical Guide to Design, Analysis and Reporting

Part 2: SAS Programming in the Pharmaceutical Industry

Part 3: Analysis Of Clinical Trials Using Sas

Case Studies

Curriculum

  Part 1: Clinical Trials a Practical Guide to Design, Analysis and Reporting
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

  Part 2: SAS Programming in the Pharmaceutical Industry
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

  Part 3: Analysis Of Clinical Trials Using Sas
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

  Case Studies

Frequently Asked Questions

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

Ans: The course offers a variety of online training options, including: Live Virtual Classroom Training: Participate in real-time interactive sessions with instructors and peers. 1:1 Doubt Resolution Sessions: Get personalized assistance and clarification on course-related queries. Recorded Live Lectures*: Access recorded sessions for review or to catch up on missed classes. Flexible Schedule: Enjoy the flexibility to learn at your own pace and according to your schedule.

Ans: Live Virtual Classroom Training allows you to attend instructor-led sessions in real-time through an online platform. You can interact with the instructor, ask questions, participate in discussions, and collaborate with fellow learners, simulating the experience of a traditional classroom setting from the comfort of your own space.

Ans: If you miss a live session, you can access recorded lectures* to review the content covered during the session. This allows you to catch up on any missed material at your own pace and ensures that you don't fall behind in your learning journey.

Ans: The course offers a flexible schedule, allowing you to learn at times that suit you best. Whether you have other commitments or prefer to study during specific hours, the course structure accommodates your needs, enabling you to balance your learning with other responsibilities effectively. *Note: Availability of recorded live lectures may vary depending on the course and training provider.