Introduction to the SAS Clinical Online Training in USA

Sprint IT Providing Best Clinical SAS Certification Course Online Training in USA, this 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 Clinical Certification Course Content

Module I: Clinical Trials a Practical Guide to Design, Analysis, and Reporting

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

Alternative Trial Designs

  • Crossover Trials
  • Factorial Design
  • Equivalence Trials
  • Bioequivalence Trials
  • Non inferiority Trials
  • Cluster Randomized Trials
  • Multicenter Trials

Basics of Statistical Analysis

  • Intention-to-Treat Analysis
  • Subgroup Analysis
  • Regression Analysis
  • Adjustment for Covariates
  • Confounding
  • Interaction
  • Repeated Measurements
  • Multiplicity
  • Missing Data
  • Interim Monitoring and Stopping Rules

Reporting of Trials

  • Overview of Reporting
  • Trial Profile
  • Presenting Baseline Data
  • Use of Tables
  • Use of Figures
  • Critical Appraisal of a Report
  • Meta-Analysis

Module II: SAS Programming in the Pharmaceutical Industry

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

Creating Clinical Trial Graphs

  • Common Clinical Trial Graphs
  • Scatter Plot
  • Line Plot
  • Bar Chart
  • Box Plot
  • Odds Ratio Plot
  • Kaplan-Meier Survival Estimates Plot

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

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

Module III: Analysis of Clinical Trials Using SAS

Analysis of Stratified Data

  • Introduction
  • Continuous Endpoints
  • Categorical Endpoints
  • Time-to-Event Endpoints
  • Tests for Qualitative Interactions

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

Analysis of Safety and Diagnostic Data

  • Introduction
  • Reference Intervals for Safety and Diagnostic Measures
  • Analysis of Shift Tables

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

FAQ’s on Clinical SAS Certification Course

What are the uses of Clinical SAS Programming?

It is used for Clinical Data Integration, Organizing, Standardizing and Managing clinical research data and metadata. It provides the foundation you need to ensure standard, trusted clinical data to support strategic analyses, such as cross-study and advanced safety analysis. With SAS Clinical Programming, you can gain both speed and efficiency by automating repeatable clinical data integration tasks.

What is the basic objective of this course?

It addresses SAS Clinical Data Integration software.

How to write Clinical SAS Certification Exam?

Following are the simple steps to apply for SAS expert certification exam and get certified,

Choose the Certificate Firstly, log on to the official website of SAS and choose the desired certification. Typically, there are three types of expert certification offered by SAS for Professionals related to the Pharmaceutical industry. They are,

  • SAS Certified Base Programmer
  • SAS Certified Advanced Programmer
  • SAS Certified Clinical Trials Programmer

What are the prerequisites to learn SAS Clinical Course?

Attendees should be familiar with clinical studies and the process of preparing CDISC clinical study submissions.

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