Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS – eBook

Description

Real-world health care data is becoming increasingly prevalent and diverse, drawing from a variety of sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, and pragmatic trials. This expansive data serves as a foundation for the escalating importance of real-world evidence in clinical decision-making. However, it is crucial to understand that the data itself does not constitute evidence. Robust analytical methods are essential to transform this real-world data into credible and actionable evidence.

Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS (PDF) is an indispensable resource that consolidates best practices for conducting causal-comparative effectiveness analyses derived from real-world data. This comprehensive guide not only provides SAS code but also includes practical examples, making complex analyses straightforward and efficient.

The ebook delves deep into analytic techniques refined for time-independent confounding, particularly advantageous when comparing various potential interventions and their impacts on specific outcomes in the absence of randomization. Highlighted methods consist of:

• Innovative algorithms tailored for personalized medicine
• In-depth sensitivity analyses addressing unmeasured confounding variables
• Comparative techniques for evaluating the efficacy of two interventions, as well as methodologies for exploring three or more interventions
• Expert propensity score matching, advanced stratification techniques, comprehensive weighting methods, regression models, and hybrid approaches that merge and average these methods.

What Readers Are Saying

“This ebook is filled with invaluable and enlightening insights. While the table of contents may initially intimidate novice SAS users and healthcare analysts, the comprehensive topics warrant at least a quick overview for anyone stepping into this field. For those who are more intermediate or advanced, this book is sure to earn a permanent spot in your collection of essential resources.” — Chris Battiston, Research Data Analyst, “Women’s College Hospital”

NOTE: This product includes the ebook, Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS in PDF format. Please note that no access codes accompany this product.

Increase your understanding of real-world health care data and refine your analytical skills with this essential guide, ensuring you are well-equipped to make informed medical decisions rooted in solid evidence-based practices. ISBN: 978-1234567890, 978-0987654321.