Logistic Regression, a review

Logistic Regression, a review A review is given of the development of logistic regression as a multi‐purpose statistical tool. A historical introduction shows several lines culminating in the unifying paper of Cox (1966), in which theory as developed in the field of bio‐assay is shown to be applicable to designs as discriminant‐analysis and case‐control study. A review is given of several designs all leading to the same analysis. The link is made with epidemiological literature. Several optimization criteria are discussed that can be used in the case of more observations per cell, namely maximum likelihood, minimum chi‐square and weighted regression on the observed logits. Recent literature on the goodness of fit problem is reviewed and finally, comments are made about the non‐parametric approach to logistic regression which is still in rapid development. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Statistica Neerlandica Wiley

Logistic Regression, a review

Statistica Neerlandica, Volume 42 (4) – Dec 1, 1988

Loading next page...
 
/lp/wiley/logistic-regression-a-review-HKO0cUFGTu
Publisher
Wiley
Copyright
Copyright © 1988 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0039-0402
eISSN
1467-9574
D.O.I.
10.1111/j.1467-9574.1988.tb01237.x
Publisher site
See Article on Publisher Site

Abstract

A review is given of the development of logistic regression as a multi‐purpose statistical tool. A historical introduction shows several lines culminating in the unifying paper of Cox (1966), in which theory as developed in the field of bio‐assay is shown to be applicable to designs as discriminant‐analysis and case‐control study. A review is given of several designs all leading to the same analysis. The link is made with epidemiological literature. Several optimization criteria are discussed that can be used in the case of more observations per cell, namely maximum likelihood, minimum chi‐square and weighted regression on the observed logits. Recent literature on the goodness of fit problem is reviewed and finally, comments are made about the non‐parametric approach to logistic regression which is still in rapid development.

Journal

Statistica NeerlandicaWiley

Published: Dec 1, 1988

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off