Data Analysis Using Regression and Multilevel/Hierarchical Models

Name: Solutions for Data Analysis Using Regression and Multilevel/Hierarchical Models 1st by Andrew Gelman, Jennifer Hill | Book solutions | Numerade
Brand: Numerade
SKU: 52168689
Price: 19.99 USD
Availability: OnlineOnly
Rating: 4.4 (306 reviews)
ISBN: 52168689

Andrew Gelman, Jennifer Hill 1st Edition ISBN #52168689 157 Questions

0 Students Work From this Textbook

Data Analysis Using Regression and Multilevel/Hierarchical Models

Get access to all of the answers and step-by-step video explanations to this book and 5,000+ more. Try Numerade free.

Chapters

Why ?

Concepts and methods from basic probability and statistics

Linear regression: the basics

Linear regression: before and after fitting the model

Logistic regression

Generalized linear models

Simulation of probability models and statistical inferences

Simulation for checking statistical procedures and model fits

Causal inference using regression on the treatment variable

Causal inference using more advanced models

Multilevel structures

Multilevel linear models: the basics

Multilevel linear models: varying slopes, non-nested models, and other complexities

Multilevel logistic regression

Multilevel generalized linear models

Multilevel modeling in Bugs and R: the basics

Fitting multilevel linear and generalized linear models in Bugs and R

Likelihood and Bayesian inference and computation

Debugging and speeding convergence

Sample size and power calculations

Understanding and summarizing the fitted models

Analysis of variance

Causal inference using multilevel models

Model checking and comparison

Missing-data imputation