Attend a Demo Session | Meet the Expert Who Can Kickstart Your Career in SAS Clinical
Course Duration | 30 hrs | ||
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Live Projects | 2 | ||
Next Batch | 17 April, 2021 |
Crossover Trials
Factorial Design
Equivalence Trials
Bioequivalence Trials
Noninferiority Trials
Cluster Randomized Trials
Multicenter Trials
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
Have More Questions
Contact usHave questions? We’ve got the answers. Get the details on how you can grow in this course.
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.
Have More Questions. Reach our Support Team
Contact usSee if this course is a fit for you by joining us for an online info session. You’ll meet our team, get an overview of the curriculum and course objectives, and learn about the benefits of being a student at Tekslate
Attend a Demo Session | Meet the Expert Who Can Kickstart Your Career in SAS Clinical
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