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

Computers and Biomedical Research

Volumn 25, Issue 1, 1992, Pages 75-84

  Thomas, Donald G ^a   Gart, John J ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER PROGRAM; STATISTICS;

AGED; ANIMAL; BLADDER NEOPLASMS; DATA INTERPRETATION, STATISTICAL; ENDOMETRIAL NEOPLASMS; FEMALE; HUMAN; MALE; MICE; MICROCOMPUTERS; MIDDLE AGE; ODDS RATIO; RISK; SOFTWARE;

EID: 0026593479     PISSN: 00104809     EISSN: None     Source Type: Journal    
DOI: 10.1016/0010-4809(92)90036-A     Document Type: Article

References (23)

1. Exact and asymptotic methods for the combination of 2 × 2 tables
2. Analysis of the common odds ratio: Corrections for bias and skewness
3. Computing an exact confidence interval for the common odds ratio in several 2 × 2 contingency tables
4. Fast computation of exact confidence limits for the common odds ratio in a series of 2 × 2 tables
5. Computing exact significance tests with restricted randomization rules
6. The chi-square test for heterogeneity after adjustment for stratification
7. The chi-square test for heterogeneity after adjustment for stratification
8. The identity of Armitage's two tests for heterogeneity of proportions for proportional subclass numbers
9. Testing the homogeneity of the relative risk under multiple matching
10. Testing for interaction in multiply-matched case-control studies
11. Pooling 2 × 2 tables: Asymptotic moments of estimators
12. Point and interval estimation of the common odds ratio in the combination of 2 × 2 tables with fixed marginals
13. Odds ratio estimators when the data are sparse
14. On the elimination of nuisance parameters in the proportional odds model
15. Simple improvements on Cornfield's approximation to the mean of a noncentral hypergeometric random variable
16. The equivalence of two corrections to the approximate mean of an entry in a contingency table
17. Bartlett's bias correction to the profile score function is a saddlepoint correction
18. Methods of estimation in the log odds ratio regression models
19. Proportion of disease caused or prevented by a given exposure, trait or intervention
20. Estimating attributable risk from case-control studies
21. Variance estimators for attributable fraction estimators consistent in both large strata and sparse data