𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Improved and extended exact and asymptotic methods for the combination of 2 × 2 tables

✍ Scribed by Donald G. Thomas; John J. Gart


Book ID
103049920
Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
582 KB
Volume
25
Category
Article
ISSN
0010-4809

No coin nor oath required. For personal study only.

✦ Synopsis


Exact and approximate methods for analyzing the common odds ratio in the combination of 2 x 2 tables are programmed. The approximate methods are improved by incorporating bias and skewness corrections in testing and estimation. Exact methods are done more efficiently by employing network theory. This makes more feasible the exact analyses of sparse data, large numbers of 2 x 2 tables each based on small numbers. Additional tests of interaction, particularly for sparse data, are added. Another feature is the point and interval estimation of the attributable risk. The various aspects of the program are illustrated in three numerical examples. An executable version of this program, for IBM compatible PCs, requires about 3 14K for up to 500 tables. It is available from the authors upon submission of a PC diskette formatted with MS-DOS. o 1992 Academic PKSF. IX.


📜 SIMILAR VOLUMES


Exact and asymptotic methods for the com
✍ Donald G. Thomas 📂 Article 📅 1975 🏛 Elsevier Science 🌐 English ⚖ 994 KB

A FORTRAN program for computing the conditional maximum likelihood estimate of the combined odds ratios (also called relative risks or cross-product ratios) from a set of 2 x 2 tables is given. Exact tests for the main effect and interation as well as exact confidence limits are given. Optionally, t

Exact and asymptotic tests for homogenei
✍ Isildinha M. Reis; Karim F. Hirji; Abdelmonem A. Afifi 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 219 KB 👁 3 views

This paper presents the results of a Monte Carlo study comparing the performance, in terms of size and power, of six exact and six asymptotic tests for the homogeneity of odds ratios in several 2 x 2 contingency tables. With a small sample size or sparse data structure, the exact tests performed bet

Conditional Maximum Likelihood Estimate
✍ Kung-Jong Lui 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 723 KB

On the basis of the conditional distribution, given the marginal totals of non-cases 6xed for each of independent 2 x 2 tables under invase sampling, this paper develops the conditional maximum likelihood (CMLE) estimator of the underlying common relative dBerence (RD) and its asymptotic conditional