Regression and other stories
- Cambridge : University Press, 2021
- xv, 534 p. ; ill., 25 cm
- Analytical methods for social research .
Includes bibliographical references and indexes.
Many textbooks on regression focus on theory and the simplest examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is a book about how to use regression to solve real problems of comparison, estimation, prediction, and causal inference. It focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use fresh out of the box.
9781107676510
Regression analysis Mathematical models Scientific applications Average treatment effect(ATE) Bayesian inference Cofounding covariate Ignorability Intent-to-treat (ITT)effect Overlap Poststratification Randomized blocks Rstanarm package Fake-data simulation Ordered logistic Ignorability Leave-one-out cross validation Linear transformation Probability Hypothesis testing Messy data