This study was undertaken to construct confidence intervals of the common odds ratio using several likelihood based procedures. The likelihood based procedures for the construction of confidence intervals of common odds ratio in K 2 x 2 contingency tables are derived. Simulations are performed to study the properties of these procedures in terms of the tail and coverage probabilities and average lengths of the confidence intervals and the results are presented. Based on the simulation results obtained in this study, it is concluded that the Bartlett method (B) is most suitable for constructing confidence interval for the common odds ratio in large sample design.Dept. of Mathematics and Statistics. Paper copy at Leddy Library: Theses & Major...
The odds ratio is a frequently used effect measure for two independent binomial proportions. Unfortu...
Mood's likelihood ratio test is generally considered an unreliable x 2 approximation in 2 × 2 contin...
Asymptotic series expansions for the bias and mean square error of the logit estimator are developed...
Mantel and Haenszel (1959) proposed a summary relative risk formula for a set of K 2 $\times$ 2 ta...
Let k1, k2 be non-negative integers with k1 + k 2 ≥ 2; let X1, X 2,.. Xk1 ;Y1, Y2,.. Yk2 be mutua...
Likelihood ratio test plays an important role in testing for the presence of cured individuals in cl...
The odds ratio is a measure of association used both for the analysis of a contingency table and an...
The odds ratio is a measure of association used both for the analysis of a contingency table and an...
Thomas. The performance of three approximate confidence limit methods for the odds ratio. Am J Epide...
This article investigates the bootstrap methods for producing good approximate confidence intervals....
We have presented a new likelihood-based approach for constructing confidence intervals of effect si...
This thesis contains an investigation of the effects of categorical data clustering on three estimat...
The inverse sinh transformation on the Woolf interval is used to calculate the confidence interval f...
The main objective of this thesis is to compare the performance of confidence intervals for binomial...
In contingency table analysis, the odds ratio is a commonly applied measure used to summarize the de...
The odds ratio is a frequently used effect measure for two independent binomial proportions. Unfortu...
Mood's likelihood ratio test is generally considered an unreliable x 2 approximation in 2 × 2 contin...
Asymptotic series expansions for the bias and mean square error of the logit estimator are developed...
Mantel and Haenszel (1959) proposed a summary relative risk formula for a set of K 2 $\times$ 2 ta...
Let k1, k2 be non-negative integers with k1 + k 2 ≥ 2; let X1, X 2,.. Xk1 ;Y1, Y2,.. Yk2 be mutua...
Likelihood ratio test plays an important role in testing for the presence of cured individuals in cl...
The odds ratio is a measure of association used both for the analysis of a contingency table and an...
The odds ratio is a measure of association used both for the analysis of a contingency table and an...
Thomas. The performance of three approximate confidence limit methods for the odds ratio. Am J Epide...
This article investigates the bootstrap methods for producing good approximate confidence intervals....
We have presented a new likelihood-based approach for constructing confidence intervals of effect si...
This thesis contains an investigation of the effects of categorical data clustering on three estimat...
The inverse sinh transformation on the Woolf interval is used to calculate the confidence interval f...
The main objective of this thesis is to compare the performance of confidence intervals for binomial...
In contingency table analysis, the odds ratio is a commonly applied measure used to summarize the de...
The odds ratio is a frequently used effect measure for two independent binomial proportions. Unfortu...
Mood's likelihood ratio test is generally considered an unreliable x 2 approximation in 2 × 2 contin...
Asymptotic series expansions for the bias and mean square error of the logit estimator are developed...