## 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

## Postlude: models and data

*M. D. Edge*

### in Statistical Thinking from Scratch: A Primer for Scientists

- Published in print:
- 2019
- Published Online:
- October 2019
- ISBN:
- 9780198827627
- eISBN:
- 9780191866463
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198827627.003.0013
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

Becoming a well-rounded data analyst requires more than the skills covered in this book. This postlude sketches some ways in which the types of thinking covered here can be extended to real problems ... 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

## Regression models

*Bendix Carstensen*

### in Epidemiology with R

- Published in print:
- 2020
- Published Online:
- January 2021
- ISBN:
- 9780198841326
- eISBN:
- 9780191876936
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198841326.003.0005
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Disease Ecology / Epidemiology

This chapter evaluates regression models, focusing on the normal linear regression model. The normal linear regression model establishes a relationship between a quantitative response (also called ... More

## Generalized linear spectral models

*Tommaso Proietti and Alessandra Luati*

### in Unobserved Components and Time Series Econometrics

- Published in print:
- 2015
- Published Online:
- January 2016
- ISBN:
- 9780199683666
- eISBN:
- 9780191763298
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199683666.003.0015
- Subject:
- Economics and Finance, Econometrics

This chapter considers a class of parametric spectrum estimators based on a generalized linear model for exponential random variables with power link. The power transformation of the spectrum of a ... More

## Generalized Linear Models (GLM)

*Justin C. Touchon*

### in Applied Statistics with R: A Practical Guide for the Life Sciences

- Published in print:
- 2021
- Published Online:
- August 2021
- ISBN:
- 9780198869979
- eISBN:
- 9780191905537
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198869979.003.0007
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Chapter 7 introduces one of the most useful statistical frameworks for the modern life scientist: the generalized linear model (GLM). GLMs extend the linear model to an array of non-normally ... More

## Integral projection models

*Edgar J. González, Dylan Z. Childs, Pedro F. Quintana-Ascencio, and Roberto Salguero-Gómez*

### in Demographic Methods across the Tree of Life

- Published in print:
- 2021
- Published Online:
- November 2021
- ISBN:
- 9780198838609
- eISBN:
- 9780191874789
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198838609.003.0010
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Integral projection models (IPMs) allow projecting the behaviour of a population over time using information on the vital processes of individuals, their state, and that of the environment they ... More

## Short-term Changes in the Mean: 2. Truncation and Threshold Selection

*Bruce Walsh and Michael Lynch*

### in Evolution and Selection of Quantitative Traits

- Published in print:
- 2018
- Published Online:
- September 2018
- ISBN:
- 9780198830870
- eISBN:
- 9780191868986
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198830870.003.0014
- Subject:
- Biology, Evolutionary Biology / Genetics, Biochemistry / Molecular Biology

The selection intensity, the mean change in a trait within a generation expressed in phenotypic standard deviations, provides an important metric for comparing the strength of selection over designs. ... More

## Applied Statistics with R: A Practical Guide for the Life Sciences

*Justin C. Touchon*

- Published in print:
- 2021
- Published Online:
- August 2021
- ISBN:
- 9780198869979
- eISBN:
- 9780191905537
- Item type:
- book

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198869979.001.0001
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Whether at the undergraduate, graduate, or post-graduate level, Applied Statistics with R: A Practical Guide for the Life Sciences teaches readers to properly analyze data in an efficient, ... More

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

*Andy Hector*

- Published in print:
- 2021
- Published Online:
- August 2021
- ISBN:
- 9780198798170
- eISBN:
- 9780191839399
- Item type:
- book

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198798170.001.0001
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Statistics is a fundamental component of the scientific toolbox, but learning the basics of this area of mathematics is one of the most challenging parts of a research training. This book gives an ... More

## Introduction

*Andy Hector*

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

- Published in print:
- 2021
- Published Online:
- August 2021
- ISBN:
- 9780198798170
- eISBN:
- 9780191839399
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780198798170.003.0001
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

This chapter sets out the aims of the book, the approach, what is covered in the book, and what is not. The chapter introduces the R and RStudio software packages. It also summarizes the changes made ... More

## Getting Started with R: An Introduction for Biologists

*Andrew Beckerman, Dylan Childs, and Owen Petchey*

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

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198787839.001.0001
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

Getting Started with R deals with learning how to get answers from data, an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting ... More