Causal inference in python

Causal Inference in Python

In this book, author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects.

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Causal Inference

An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences

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Causal Inference in Statistics

Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal fo

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Explanation in Causal Inference

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Counterfactuals and Causal Inference

Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal

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Fundamentals of Causal Inference

Explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical models, including standardization, diffe

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Causal Inference Taylor & Francis Ltd

The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for re...

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Causal Inference for Statistics, Social, and Biomedical Sciences

This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

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Handbook of Matching and Weighting Adjustments for Causal Inference Taylor & Francis Ltd

This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the...

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Machine Learning for Experiments in the Social Sciences

Causal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions.

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Rationality : What It Is, Why It Seems Scarce, Why It Matters - Stabenow Cornelia, Pinker Steven, Pinker Steven

Anotace: In the twenty-first century, humanity is reaching new heights of scientific understanding - and at the same time appears to be losing its mind. How can a species that discovered vaccines for Covid-19 in less than a year produce so much fake news, quack cures and conspiracy theorizing?In Rationality, Pinker rejects the cynical cliche that humans are simply an irr...

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Rationality : What It Is, Why It Seems Scarce, Why It Matters - Steven Pinker

<p>In the twenty-first century, humanity is reaching new heights of scientific understanding - and at the same time appears to be losing its mind. How can a species that discovered vaccines for Covid-19 in less than a year produce so much fake news, quack cures and conspiracy theorizing? In Rationality, Pinker rejects the cynical cliche that humans are simply an ir...

Dostupnost: skladem