## Ordinary Least Squares and Logistic Regression Analysis

*David Sanders and Malcolm Brynin*

### in Research Strategies in the Social Sciences: A Guide to New Approaches

- Published in print:
- 1998
- Published Online:
- November 2003
- ISBN:
- 9780198292371
- eISBN:
- 9780191600159
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0198292376.003.0003
- Subject:
- Political Science, Reference

Setting out the basic regression model, and comparing the analytic efficacy of the OLS the model and its extension to logistic regression.

## Identifying factors associated with the spatial distribution of disease

*Dirk U. Pfeiffer, Timothy P. Robinson, Mark Stevenson, Kim B. Stevens, David J. Rogers, and Archie C. A. Clements*

### in Spatial Analysis in Epidemiology

- Published in print:
- 2008
- Published Online:
- September 2008
- ISBN:
- 9780198509882
- eISBN:
- 9780191709128
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198509882.003.0007
- Subject:
- Biology, Disease Ecology / Epidemiology

This chapter presents analytical techniques of regression and discrimination as a means of quantifying the effect of a set of explanatory variables on the spatial distribution of a particular ... More

## Research Strategies in the Social Sciences: A Guide to New Approaches

*Elinor Scarbrough and Eric Tanenbaum (eds)*

- Published in print:
- 1998
- Published Online:
- November 2003
- ISBN:
- 9780198292371
- eISBN:
- 9780191600159
- Item type:
- book

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0198292376.001.0001
- Subject:
- Political Science, Reference

This volume is a collection of commissioned articles by 16 experts in social science methodology, each contribution introducing experienced social scientists to more advanced analytic techniques. The ... More

## Regression-Discontinuity and ARIMA Models

*William R. Nugent*

### in Analyzing Single System Design Data

- Published in print:
- 2009
- Published Online:
- February 2010
- ISBN:
- 9780195369625
- eISBN:
- 9780199865208
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195369625.003.0002
- Subject:
- Social Work, Research and Evaluation

This chapter covers regression-discontinuity models for analyzing the data from single case designs. Auto-regressive-integrated-moving-average models are also described and illustrated. These ... More

## Regression with an Ordinal Dependent Variable Regression with an Ordinal Dependent Variable

*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/9780195329452.003.0004
- Subject:
- Social Work, Research and Evaluation

This chapter discusses ordinal logistic regression (also known as the ordinal logit, ordered polytomous logit, constrained cumulative logit, proportional odds, parallel regression, or grouped ... More

## Asymptotic Inference Theories on Co‐Integrated Regressions *

*Michio Hatanaka*

### in Time-Series-Based Econometrics: Unit Roots and Co-integrations

- Published in print:
- 1996
- Published Online:
- November 2003
- ISBN:
- 9780198773535
- eISBN:
- 9780191596360
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0198773536.003.0013
- Subject:
- Economics and Finance, Econometrics

This chapter analyses co-integrated regressions. It considers the cases where Δxt is i.i.d without a drift, Δxt is still i.i.d. but has a deterministic drift, and Δxt is serially correlated. It ... More

## Advanced Statistical Analysis

*Harvey Checkoway, Neil Pearce, and David Kriebel*

### in Research Methods in Occupational Epidemiology

- Published in print:
- 2004
- Published Online:
- September 2009
- ISBN:
- 9780195092424
- eISBN:
- 9780199864553
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195092424.003.0009
- Subject:
- Public Health and Epidemiology, Public Health, Epidemiology

Stratified analyses may not be feasible if there are multiple exposure categories or two or more than two or three confounders. In this situation, multiple regression methods are required. This ... More

## Spatial Smoothing, Interactions and Geoadditive Regression

*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/9780199533022.003.0005
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

This chapter provides an introduction to Bayesian spatial smoothing as a subject of interest in its own right, it points out the close relation between modelling interactions and spatial effects, and ... More

## Extending the Cox Regression Model

*Judith D. Singer and John B. Willett*

### in Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

- Published in print:
- 2003
- Published Online:
- September 2009
- ISBN:
- 9780195152968
- eISBN:
- 9780199864980
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195152968.003.0015
- Subject:
- Public Health and Epidemiology, Public Health, Epidemiology

This chapter begins by describing how to include time-varying predictors in the Cox regression model. It then introduces two methods for relaxing the proportionality assumption. Section 15.2 presents ... More

## Event History 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/9780199533022.003.0006
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

This chapter extends Bayesian approaches for smoothing and regression developed in previous chapters to regression models for survival and event history data with structured additive predictors. This ... More

## Properties of Integrated Processes

*Anindya Banerjee, Juan J. Dolado, John W. Galbraith, and David F. Hendry*

### in Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data

- Published in print:
- 1993
- Published Online:
- November 2003
- ISBN:
- 9780198288107
- eISBN:
- 9780191595899
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0198288107.003.0003
- Subject:
- Economics and Finance, Econometrics

Presents the important properties of integrated variables and sets out some of the preliminary asymptotic theories essential for the consideration of such processes. It explores the concepts of unit ... More

## Dynamic Regression Models

*Luc Bauwens, Michel Lubrano, and Jean-François Richard*

### in Bayesian Inference in Dynamic Econometric Models

- Published in print:
- 2000
- Published Online:
- September 2011
- ISBN:
- 9780198773122
- eISBN:
- 9780191695315
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198773122.003.0005
- Subject:
- Economics and Finance, Econometrics

This chapter examines the application of the dynamic regression models for inference and prediction with dynamic econometric models. It shows how to extend to the dynamic case the notion of Bayesian ... More

## Models with Nonscalar Covariance Matrix of Errors

*Aman Ullah*

### in Finite Sample Econometrics

- Published in print:
- 2004
- Published Online:
- August 2004
- ISBN:
- 9780198774471
- eISBN:
- 9780191601347
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/0198774478.003.0005
- Subject:
- Economics and Finance, Econometrics

This chapter examines regression models with nonscalar covariance matrix of errors. This includes the estimators and test statistics in the context of linear regression with heteroskedasticity and ... More

## Fitting Cox Regression Models

*Judith D. Singer and John B. Willett*

### in Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

- Published in print:
- 2003
- Published Online:
- September 2009
- ISBN:
- 9780195152968
- eISBN:
- 9780199864980
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195152968.003.0014
- Subject:
- Public Health and Epidemiology, Public Health, Epidemiology

This chapter describes the conceptual underpinnings of the Cox regression model and demonstrates how to fit it to data. Section 14.1 begins by developing the Cox model specification itself, ... More

## Prior Densities for the Regression Model

*Luc Bauwens, Michel Lubrano, and Jean-François Richard*

### in Bayesian Inference in Dynamic Econometric Models

- Published in print:
- 2000
- Published Online:
- September 2011
- ISBN:
- 9780198773122
- eISBN:
- 9780191695315
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198773122.003.0004
- Subject:
- Economics and Finance, Econometrics

This chapter examines prior densities applicable for the regression model. It addresses the question of how to specify precisely the shape and the contents of the prior density in an empirical ... More

## The Analysis of Binary Data: Logistic Model II

*Steve Selvin*

### in Statistical Analysis of Epidemiologic Data

- Published in print:
- 2004
- Published Online:
- September 2009
- ISBN:
- 9780195172805
- eISBN:
- 9780199865697
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195172805.003.08
- Subject:
- Public Health and Epidemiology, Public Health, Epidemiology

The three basic features of the logistic regression model are the appropriateness of binary outcome variables, estimation of adjusted odd ratios as a measure of association, and the effective ... More

## Populations with Regression Structure

*Raymond L. Chambers and Robert G. Clark*

### in An Introduction to Model-Based Survey Sampling with Applications

- Published in print:
- 2012
- Published Online:
- May 2012
- ISBN:
- 9780198566625
- eISBN:
- 9780191738449
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198566625.003.0005
- Subject:
- Mathematics, Probability / Statistics

When there is a single continuous auxiliary variable, it is often reasonable to assume a simple linear regression model relating this variable to the variable of interest. This chapter describes the ... More

## Bayesian Models for Variable Selection that Incorporate Biological Information *

*Marina Vannucci and Francesco C. Stingo*

### in Bayesian Statistics 9

- Published in print:
- 2011
- Published Online:
- January 2012
- ISBN:
- 9780199694587
- eISBN:
- 9780191731921
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199694587.003.0022
- Subject:
- Mathematics, Probability / Statistics

Variable selection has been the focus of much research in recent years. Bayesian methods have found many successful applications, particularly in situations where the amount of measured variables can ... More

## Systems of Equations

*Luc Bauwens, Michel Lubrano, and Jean-François Richard*

### in Bayesian Inference in Dynamic Econometric Models

- Published in print:
- 2000
- Published Online:
- September 2011
- ISBN:
- 9780198773122
- eISBN:
- 9780191695315
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198773122.003.0009
- Subject:
- Economics and Finance, Econometrics

This chapter aims to review how Bayesian inference can be applied to some of the so-called systems of equations models. These models can be defined in several forms including multivariate regression ... More

## The Use of Linear Regression in Labour Economics

*Stephen Bazen*

### in Econometric Methods for Labour Economics

- Published in print:
- 2011
- Published Online:
- January 2012
- ISBN:
- 9780199576791
- eISBN:
- 9780191731136
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199576791.003.0002
- Subject:
- Economics and Finance, Econometrics

While econometric techniques have become increasingly sophisticated, regression analysis in one form or another continues to be a major tool in empirical studies. Linear regression is also important ... More