Jump to ContentJump to Main Navigation

You are looking at 1-20 of 54 items

  • Keywords: regression modeling x
Clear All Modify Search

View:

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


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


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


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


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


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


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


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


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 Analysis of Contingency Table Data: Logistic Model I

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/9780195172805.003.07
Subject:
Public Health and Epidemiology, Public Health, Epidemiology

This chapter discusses the use of a logistic regression model to analyze data classified into a multiway table. Topics covered include the simplest model, the 2 x 2 x 2 table, the 2 x k table, the 2 ... More


View: