Data Science with Real World Data in Pharma

Data Science with Real World Data in Pharma

位教师：Adriana Reyes

2,345 人已注册

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5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

9 小时完成

灵活的计划

自行安排学习进度

5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

9 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Explain how real world data/evidence fits into the drug development process
Describe the three major types of bias that can be encountered in observational studies
Apply basic survival analysis techniques such as Kaplan-Meier plots and Cox Models to synthetic data.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

5 项作业

授课语言：英语（English）

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有5个模块

This course introduces you to how Real World Data/Evidence can be used for pharmaceutical research and development and how it complements the evidence package for healthcare decision-making. If you are interested in applying data science to pharmaceutical research using data collected as part of routine clinical practice, this course is for you.

The course will help you describe what it means to be a Real World Data Scientist in the pharmaceutical industry. You will discover the particularities of the data sources and learn how to generate high quality evidence and how that evidence is used by the stakeholders for decision making purposes. To be successful in this course, you should have a background in data analytics, statistics, or other technical fields. No experience in the pharmaceutical industry is expected. We thank Hannah Furby and Matt Secrest for her inspirational material.

In this module we briefly introduce the phases in drug development and the evidence generation process to bring treatments to patients. We then exemplify how real-world data/evidence fits into the drug development.

涵盖的内容

5个视频4篇阅读材料1个作业1个讨论话题

5个视频总计20分钟

Course introduction1分钟
Evidence generation process for decision making in drug approval5分钟
Phases of clinical development program and how real world evidence fits5分钟
Comparative effectiveness5分钟
Module review1分钟

4篇阅读材料总计63分钟

Syllabus3分钟
An Introduction to the Fundamentals of Randomized Controlled Trials in Pharmacy Research30分钟
Biopharma companies should consider a new, integrated approach to evidence-generation strategies to better demonstrate the value of therapies to all stakeholders.15分钟
Explore the RWE Navigator15分钟

1个作业总计5分钟

Test module 15分钟

1个讨论话题总计10分钟

Knowledge sharing10分钟

In this module, we explore the limitations of real-world data. We discuss several sources of real-world data and explain their strengths and weaknesses. We then create clearer definitions of the types of bias that can be encountered when exploring real-world data.

涵盖的内容

3个视频1个作业2个讨论话题

In this module we explore study designs for observational data and methods to control for bias (systematic errors). We also mention concrete examples used in pharmaceutical research.

涵盖的内容

3个视频4篇阅读材料1个作业1个讨论话题

3个视频总计13分钟

Study designs7分钟
Methods to control for bias4分钟
Module review1分钟

4篇阅读材料总计100分钟

Observational and interventional study design types; an overview30分钟
Control of confounding in the analysis phase30分钟
Explore E-value calculator for unmeasured confounding10分钟
Ask the right question(s)30分钟

1个作业总计5分钟

Test module 35分钟

1个讨论话题总计10分钟

Knowledge sharing10分钟

In this module we will design and conduct our own study using synthetic data to explore the concepts learned in modules 1-3.

涵盖的内容

5个视频1个作业1个讨论话题3个非评分实验室

5个视频总计20分钟

Survival Analysis basics9分钟
Synthetic data introduction5分钟
Labs introduction1分钟
Analysis Results interpretation3分钟
Module review0分钟

1个作业总计30分钟

Test Module 4 30分钟

1个讨论话题总计10分钟

New treatments for Prostate Cancer10分钟

3个非评分实验室总计120分钟

Python Primer (Optional)60分钟
Preparing data for analysis30分钟
Analysing the data30分钟

In this module we consider the point of view of two critical stakeholders: regulators and payers. We see their position about real world data/evidence and its acceptance. We also explore specific use cases of how real world evidence has been used in practice.

涵盖的内容

3个视频4篇阅读材料1个作业2个讨论话题

3个视频总计12分钟

Stakeholders perspectives and use cases in pharma4分钟
A glance to advanced topics6分钟
Course review1分钟

4篇阅读材料总计55分钟

Real-World Evidence — Where Are We Now?15分钟
Value of Real-World Evidence in health technology assessment: lost in translation?15分钟
Comparative effectiveness research15分钟
Further reading material10分钟

1个作业总计5分钟

Test module 55分钟

2个讨论话题总计25分钟

What do you see in common about the RWE acepted by HTA bodies?10分钟
Summarize a use case and say what was the value added by RWE15分钟

位教师

Adriana Reyes

Genentech

1 门课程2,345 名学生

Otto Fajardo

Genentech

1 门课程2,345 名学生

提供方

Genentech

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