Mastering Clinical Data Management And Analysis With Sas

Unlock Power of Clinical SAS: From Data Management to Advanced Analysis Techniques for Clinical Research Professionals.

What you'll learn

Gain a strong foundation in SAS programming principles and techniques

Learn how to manage and manipulate clinical trial data using SAS

Understand CDISC standards and their application in clinical data analysis

Develop skills in creating reports and visualizations for clinical research

Prepare for a career in clinical research using SAS

Requirements

Enthusiasm and determination to make your mark on the world!

Description

A warm welcome to the Mastering Clinical Data Management and Analysis with SAS course by Uplatz.Clinical SAS is a software suite developed by SAS Institute, a leading provider of analytics and business intelligence solutions. SAS Clinical is specifically designed to support the needs of clinical research organizations and pharmaceutical companies in managing, analysing, and reporting clinical trial data.Some key features of Clinical SAS include:Data Management: SAS Clinical enables users to efficiently manage and integrate clinical trial data from multiple sources, including electronic health records, case report forms, laboratory data, and patient diaries.Statistical Analysis: The software provides a comprehensive set of statistical tools for analysing clinical trial data, including descriptive statistics, hypothesis testing, regression analysis, survival analysis, and more.Reporting and Visualization: SAS Clinical offers powerful reporting and visualization capabilities, allowing users to create customized reports, tables, graphs, and dashboards to communicate findings and insights effectively.Regulatory Compliance: SAS Clinical is designed to meet regulatory requirements and standards such as FDA's 21 CFR Part 11, ensuring data integrity, security, and compliance with industry regulations.Integration with Other Systems: SAS Clinical can be integrated with other systems and platforms commonly used in clinical research, such as electronic data capture (EDC) systems, clinical trial management systems (CTMS), and data warehouses.SAS Clinical provides a robust and flexible platform for managing and analysing clinical trial data, helping researchers and organizations streamline the drug development process, make informed decisions, and accelerate time to market for new therapies.

Overview

Section 1: SAS Clinical Research Overview

Lecture 1 SAS Clinical Research Overview

Section 2: 2. Historical and Ethical background of Clinical Research and ICH-GCP Guidelines

Lecture 2 2. Historical and Ethical background of Clinical Research and ICH-GCP Guidelines

Section 3: Essential Documents in Clinical Research

Lecture 3 Essential Documents in Clinical Research

Section 4: Drug Development

Lecture 4 Drug Development

Section 5: Clinical Trial Process and Roles

Lecture 5 Clinical Trial Process and Roles

Section 6: Clinical Trial Design

Lecture 6 Clinical Trial Design

Section 7: Clinical Trial Monitoring

Lecture 7 Clinical Trial Monitoring

Section 8: Glossary of Clinical Research Terms

Lecture 8 Glossary of Clinical Research Terms

Section 9: Responsibilities of Sponsor

Lecture 9 Responsibilities of Sponsor

Section 10: Site Selection and Responsibilities of Investigator and CRC

Lecture 10 Site Selection and Responsibilities of Investigator and CRC

Section 11: QA and QC Audit and Inspection

Lecture 11 QA and QC Audit and Inspection

Section 12: Non-Compliance, Fraud and Misconduct

Lecture 12 Non-Compliance, Fraud and Misconduct

Section 13: 21 CFR part 11

Lecture 13 21 CFR part 11

Section 14: Protocol Understanding

Lecture 14 Protocol Understanding

Section 15: Clinical Data Management

Lecture 15 Clinical Data Management

Section 16: Protocol Assignment

Lecture 16 Protocol Assignment

Section 17: CRF Design and Format

Lecture 17 CRF Design and Format

Section 18: CRF Design and Format demo

Lecture 18 CRF Design and Format demo

Section 19: Clinical Data Standards

Lecture 19 Clinical Data Standards

Section 20: CDM Study Start Up

Lecture 20 CDM Study Start Up

Section 21: CDM - EDC Setup Concept

Lecture 21 CDM - EDC Setup Concept

Section 22: CDM - EDC Study Conduct Concept

Lecture 22 CDM - EDC Study Conduct Concept

Section 23: CDM - EDC Study Conduct Discrepancy Management

Lecture 23 CDM - EDC Study Conduct Discrepancy Management

Section 24: CDM - Discrepancy Management

Lecture 24 CDM - Discrepancy Management

Section 25: Data Management Plan

Lecture 25 Data Management Plan

Section 26: Project Management for Data Manager

Lecture 26 Project Management for Data Manager

Section 27: Vendor Selection and Management

Lecture 27 Vendor Selection and Management

Section 28: Edit Check Design Principles

Lecture 28 Edit Check Design Principles

Section 29: EDC Study Closeout

Lecture 29 EDC Study Closeout

Section 30: CDM Study Closeout

Lecture 30 CDM Study Closeout

Section 31: CRF Completion Guidelines

Lecture 31 CRF Completion Guidelines

Section 32: Database Validation and Programming

Lecture 32 Database Validation and Programming

Section 33: Laboratory Data Handling

Lecture 33 Laboratory Data Handling

Section 34: External Data Transfer

Lecture 34 External Data Transfer

Section 35: Patient Reported Outcome

Lecture 35 Patient Reported Outcome

Section 36: Investigator Meeting

Lecture 36 Investigator Meeting

Section 37: Metrics in CDM

Lecture 37 Metrics in CDM

Section 38: Assuring Data Quality

Lecture 38 Assuring Data Quality

Section 39: Measuring Data Quality

Lecture 39 Measuring Data Quality

Section 40: Safety Data Management

Lecture 40 Safety Data Management

Section 41: Safety Data Reconciliation

Lecture 41 Safety Data Reconciliation

Section 42: Medical Coding

Lecture 42 Medical Coding

Section 43: Clinical Data Archiving

Lecture 43 Clinical Data Archiving

Section 44: Data Entry and Processing

Lecture 44 Data Entry and Processing

Section 45: Role and Responsibilities of CDM

Lecture 45 Role and Responsibilities of CDM

Section 46: Medical Device Trials

Lecture 46 Medical Device Trials

Section 47: Clinical Research Q and A

Lecture 47 Clinical Research Q and A

Section 48: Clinical Data Management Q and A

Lecture 48 Clinical Data Management Q and A

Section 49: Clinical Research CDM Fundamental Q and A

Lecture 49 Clinical Research CDM Fundamental Q and A

Section 50: Working with CROs and SOPs

Lecture 50 Working with CROs and SOPs

Section 51: CDISC - Part 1

Lecture 51 CDISC - Part 1

Lecture 52 CDISC - Part 2

Data Analysts,Data & Analytics Consultants,Beginners & newbies aspiring for a career in statistics, data analytics, and data science,Anyone interested in SAS - data analytics and clinical research,Clinical SAS Programmers,SAS Clinical Researchers,Pharma & Clinical Business Consultants,Data Scientists & Machine Learning Engineers,Statistical Programmers,Data Management & Governance Experts,Managers - Statistical Programming,Clinical Data Managers,Clinical Database Programmers,Biometricians,Clinical Research Associates (CRA),Medical Writers,Regulatory Affairs Specialists