Advanced search
Publication Cover
Journal of the American Statistical Association Volume 75, 1980 - Issue 371
Submit an article Journal homepage
33
Views
21
CrossRef citations to date
0
Altmetric
Theory and Method

The Effect of Errors in Diagnosis and Measurement on the Estimation of the Probability of an Event

Joel E. Michalek Biomathematical Modeling Branch, USAF School of Aerospace Medicine, Brooks Air Force Base, TX, 78235, USA
&
Ram C. Tripathi Department of Mathematics, University of Texas at San Antonio, TX, 78285, USA
Pages 713-721 | Received 01 Jan 1979, Published online: 12 Mar 2012
 
Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days

Abstract

This article investigates the effect of misclassification and measurement error in the basic data on the asymptotic bias and efficiency of the logistic regression (LR) and normal discrimination (ND) classification procedures. The effect of misclassification in a single binary independent variable on the bias and efficiency of both procedures is also presented. Typically, asymptotic bias increases and efficiency decreases as misclassification and measurement error increase. The performance of LR relative to ND is shown to be better in the presence of error than without error.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related Research Data

Multivariate prediction of coronary heart disease in the Western Collaborative Group Study compared to the findings of the Framingham study.
Source: Ovid Technologies (Wolters Kluwer Health)
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise
Source: Springer Science and Business Media LLC
The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis
Source: Informa UK Limited
Choosing between Logistic Regression and Discriminant Analysis
Source: Informa UK Limited
Discriminant Analysis When the Initial Samples Are Misclassified
Source: JSTOR
Misclassification in 2 X 2 Tables
Source: JSTOR
The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis
Source: Informa UK Limited
Linear Statistical Inference and its Applications
Source: John Wiley & Sons, Inc.
Measurement error in environmental epidemiology and the shape of exposure-response curves
Source: Informa UK Limited
Statistical diagnosis when basic cases are not classified with certainty
Source: Oxford University Press (OUP)
Identifying subsets of major risk factors in multivariate estimation of coronary risk
Source: Elsevier BV
Classification Based on Dichotomous and Continuous Variables
Source: Informa UK Limited

Linking provided by 

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.