Causal Inference in R: Decipher Complex Relationships with Advanced R Techniques for Data-Driven Decision Making free ebook download.

Home : Book details

Causal Inference in R: Decipher Complex Relationships with Advanced R Techniques for Data-Driven Decision Making free ebook download

Category:
Misc

Views: 34
Likes: 0

Catalogue

Author(s):	N/A

Date:	2024	Format:	True PDF	Language:	English	ISBN/ASIN:	1837639027
Pages:		OCR:		Quality:		ISBN13:	9781837639021
Uploader:	comet	Upload Date:	12/10/2024 9:32:27 PM

To download click on link in the Links Table below

Description: Click to see full description

1837639027 True PDF
Decipher complex relationships with advanced R techniques for data-driven decision-making. Instant delivery. Top rated Data products.

Key Features
* Explore causal analysis with hands-on R tutorials and real-world examples
* Grasp complex statistical methods by taking a detailed, easy-to-follow approach
* Equip yourself with actionable insights and strategies for making data-driven decisions

Book Description
Determining causality in data is difficult due to confounding factors. Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making.
This book helps you get to grips with foundational concepts, offering a clear understanding of causal models and their relevance in data analysis. You'll progress through chapters that blend theory with hands-on examples, illustrating how to apply advanced statistical methods to real-world scenarios. You'll discover techniques for establishing causality, from classic approaches to contemporary methods, such as propensity score matching and instrumental variables. Each chapter is enriched with detailed case studies and R code snippets, enabling you to implement concepts immediately. Beyond technical skills, this book also emphasizes critical thinking in data analysis to empower you to make informed, data-driven decisions. The chapters enable you to harness the power of causal inference in R to uncover deeper insights from data.
By the end of this book, you'll be able to confidently establish causal relationships and make data-driven decisions with precision.
Who is this book for?
This book is for data practitioners, statisticians, and researchers keen on enhancing their skills in causal inference using R, as well as individuals who aspire to make data-driven decisions in complex scenarios. It serves as a valuable resource for both beginners and experienced professionals in data analysis, public policy, economics, and social sciences. Academics and students looking to deepen their understanding of causal models and their practical implementation will also find it highly beneficial.
What you will learn
* Get a solid understanding of the fundamental concepts and applications of causal inference
* Utilize R to construct and interpret causal models
* Apply techniques for robust causal analysis in real-world data
* Implement advanced causal inference methods, such as instrumental variables and propensity score matching
* Develop the ability to apply graphical models for causal analysis
* Identify and address common challenges and pitfalls in controlled experiments for effective causal analysis
* Become proficient in the practical application of doubly robust estimation using R

Links Table

	Title	Link	Size (MB)	Thank to
3284732	Book	https://turbobit.net/hgpk88uq4zh0.html...	3.84	comet
3284733	Book	https://dailyuploads.net/zjjm8bccwemc/57...	3.84	comet
3284734	Book	https://filespayout.com/khvy70guk0nj/571...	3.84	comet

Tags: Advanced Causal Complex Data-Driven Decipher Decision Inference Making Relationships Techniques

Title	Link	Password	Size	Reason

Related books: N/A Full list

Those who downloaded this book also downloaded the following books:
Comments

New comment: