## Introduction to Regression Modeling Introduction to Regression Modeling

*John G. Orme and Terri Combs-Orme*

### in Multiple Regression with Discrete Dependent Variables

- Published in print:
- 2009
- Published Online:
- May 2009
- ISBN:
- 9780195329452
- eISBN:
- 9780199864812
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195329452.003.0001
- Subject:
- Social Work, Research and Evaluation

This chapter is a brief review of some major concepts of linear regression, presented in the context of simple examples using both dichotomous and continuous independent variables. The chapter ... More

## Semiparametric Mixed Models for Longitudinal Data

*Ludwig Fahrmeir and Thomas Kneib*

### in Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

- Published in print:
- 2011
- Published Online:
- September 2011
- ISBN:
- 9780199533022
- eISBN:
- 9780191728501
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199533022.003.0004
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

This chapter considers Bayesian inference in semiparametric mixed models (SPMMs) for longitudinal data. Section 4.1 assumes Gaussian smoothness priors, focusing on Bayesian P-splines in combination ... More

## Multi‐Level Modelling and Contingent Valuation

*Ian H. Langford and Ian J. Bateman*

### in Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the US, EU , and developing Countries

- Published in print:
- 2001
- Published Online:
- November 2003
- ISBN:
- 9780199248919
- eISBN:
- 9780191595950
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0199248915.003.0012
- Subject:
- Economics and Finance, Development, Growth, and Environmental

This chapter explores, in an introductory manner, the potential advantages of using multi‐level modelling in a range of contingent valuation (CV) survey designs. Section 12.2 briefly reviews the ... More

## Random effects models for sibling and twin-based studies in life course epidemiology

*Samuli Ripatti*

### in Family matters: Designing, analysing and understanding family based studies in life course epidemiology

- Published in print:
- 2009
- Published Online:
- September 2009
- ISBN:
- 9780199231034
- eISBN:
- 9780191723841
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199231034.003.0011
- Subject:
- Public Health and Epidemiology, Public Health, Epidemiology

This chapter introduces statistical methods for twin and sibling studies using random effects models. The classic twin study begins from assessing the variance of a trait (called a phenotype by ... More

## Introduction: Scope of the Book and Applications

*Ludwig Fahrmeir and Thomas Kneib*

### in Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

- Published in print:
- 2011
- Published Online:
- September 2011
- ISBN:
- 9780199533022
- eISBN:
- 9780191728501
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199533022.003.0001
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

This introductory chapter begins with a discussion of semiparametric regression covering generalized linear models, generalized additive models, semiparametric mixed models, and spatial regression ... More

## Getting Started with Generalized Linear Models

*Andrew P. Beckerman, Dylan Z. Childs, and Owen L. Petchey*

### in Getting Started with R: An Introduction for Biologists

- Published in print:
- 2017
- Published Online:
- March 2017
- ISBN:
- 9780198787839
- eISBN:
- 9780191829659
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198787839.003.0007
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

We introduce generalized linear models (GLMs), demonstrating by comparison with a linear model when, why, and how these models can be valuable and important to the biologist. The chapter focuses on a ... More

## Likelihood-Based Approaches to Modeling the Neural Code

*Jonathan Pillow*

### in Bayesian Brain: Probabilistic Approaches to Neural Coding

- Published in print:
- 2006
- Published Online:
- August 2013
- ISBN:
- 9780262042383
- eISBN:
- 9780262294188
- Item type:
- chapter

- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262042383.003.0003
- Subject:
- Neuroscience, Disorders of the Nervous System

This chapter discusses likelihood-based approaches to building mathematical models of the neural code. It introduces probabilistic neural models such as the linear-non-linear-Poisson (LNP) model ... More

## Linear and generalized linear mixed models

*Benjamin M. Bolker*

### in Ecological Statistics: Contemporary theory and application

- Published in print:
- 2015
- Published Online:
- April 2015
- ISBN:
- 9780199672547
- eISBN:
- 9780191796487
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199672547.003.0014
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Generalized linear mixed models (GLMMs) are a powerful class of statistical models that combine the characteristics of generalized linear models and mixed models (models with both fixed and random ... More

## Some Regression Models for AF Measures

*Sabina Alkire, James Foster, Suman Seth, Maria Emma Santos, José Manuel Roche, and Paola Ballón*

### in Multidimensional Poverty Measurement and Analysis

- Published in print:
- 2015
- Published Online:
- August 2015
- ISBN:
- 9780199689491
- eISBN:
- 9780191793745
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199689491.003.0010
- Subject:
- Economics and Finance, Development, Growth, and Environmental

The chapter provides the reader with a general modelling framework for analysing the determinants of poverty measures presented in Chapter 5 for both micro and macro levels of analyses. At the micro ... More

## Introduction

*Andy Hector*

### in The New Statistics with R: An Introduction for Biologists

- Published in print:
- 2015
- Published Online:
- March 2015
- ISBN:
- 9780198729051
- eISBN:
- 9780191795855
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198729051.003.0001
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

The chapter sets out the aims of the book, the approach, what is covered in the book and what is not. The book starts by introducing several different variations of the basic linear model analysis ... More