SAS Clinical Training

• Types of Data and Normal Distribution

• Significance Tests and Confidence Intervals

• Comparison of Means

• Comparison of Proportions

• Analysis of Survival Data  235

• Intention-to-Treat Analysis

• Subgroup Analysis

• Regression Analysis

• Adjustment for Covariates

• Confounding

• Interaction

• Repeated Measurements

• Multiplicity

• Missing Data

• Interim Monitoring and Stopping Rules

• Overview of Reporting

• Trial Profile

• Presenting Baseline Data

• Use of Tables

• Use of Figures

• Critical Appraisal of a Report

• Meta-Analysis

• 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

• Common Clinical Trial Graphs

• Scatter Plot

• Line Plot

• Bar Chart

• Box Plot

• Odds Ratio Plot

• Kaplan-Meier Survival Estimates Plot

• 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

• 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

Introduction

Continuous Endpoints

Categorical Endpoints

Time-to-Event Endpoints

Tests for Qualitative Interactions

• Introduction

• Single-Step Tests

• Closed Testing Methods

• Fixed-Sequence Testing Methods

• Resampling-Based Testing Methods

• Testing Procedures for Multiple Endpoints

• Gatekeeping Strategies

• Introduction

• Reference Intervals for Safety and Diagnostic Measures

• Analysis of Shift Tables

• Introduction

• Repeated Significance Tests

• Stochastic Curtailment Tests

• 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

By the end of SAS Clinical training, the students will able to exhibit the following

• I am illustrating the basic trail designs, statistical analysis and alternative trial designs.

• Able to access, manage and transform clinical trials data

• Capable of creating tables, clinical trial graphs and listings

• Analysing Stratified data

• Interpreting distinct methods to perform multiple comparisons and endpoints

• To decide reference intervals for safety and diagnostic measures

• Evaluating results from the data which is incomplete

Tekslate’s training certifies you as an “in demand” SAS professional, helping you grab top paying analytics job titles with expertise around data management and mining concepts with hands-on skills.

SAS is the primary analytics tools used by major KPO’s Banks like Barclays, American Express, etc., financial services firms like GE Money, KPOs like TCS, Genpact etc., telecom capabilities like Verizon (USA), consulting companies like KPMG, Accenture etc. use this technology.

Anyone who is interested in SAS programming can learn this course. The course is designed for both students and professionals aspiring to make a career in Data Analytics with SAS.

• Analytics Professionals

• SAS Developers

Other technology professionals who are willing to acquire a strong foundation of this widely-used analytical language are eligible to learn this course.

The following are the Prerequisites for this training.

• Knowledge of Base SAS.

• Deep understanding of clinical programming concepts.

• Basic understanding of statistics.

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

We have a strong team of professions who are experts in their fields. Our trainers are highly supportive and render a friendly working environment to the students positively stimulating their growth.

We will share you the missed session from our recordings. We at Tekslate maintains a recorded copy of each live course you undergo.

Our Trainers will provide the student with the Server Access ensuring practical real-time experience and training with all the utilities required for the in-depth understanding of the course.

We provide all the training sessions LIVE using either GoToMeeting or WebEx, thus promoting one-on-one trainer student Interaction.

Live training uncovers distinct benefits as they are mighty to reach your desired audience converting your prospects into customers in less time. Pre-recorded videos offer plenty of advantages for entrepreneurs to educate entertain and inspire your audience as long as you want.

Yes. We provide the course materials available after course completion.

There exist some discounts for weekend batches and group participants if the joiners are more than 2

If you are enrolled in classes and have paid fees but want to cancel the registration for any reason, we will attain you in 48 hours will be processed within 30 days of prior request.