TY - JOUR
T1 - Inferences on the mean response in a log-regression model
T2 - The generalized variable approach
AU - Tian, Lili
AU - Wu, Jianrong
PY - 2007/12/10
Y1 - 2007/12/10
N2 - This paper proposes a novel approach for the confidence interval estimation and hypothesis testing of the mean response in a log-regression model using the concept of generalized variable. Simulation studies demonstrate that the proposed confidence intervals have satisfying coverage probabilities. The proposed approach can be simply carried out by a few simulation steps. Therefore, it is an ideal candidate for making inferences about the mean response in a log-regression model.
AB - This paper proposes a novel approach for the confidence interval estimation and hypothesis testing of the mean response in a log-regression model using the concept of generalized variable. Simulation studies demonstrate that the proposed confidence intervals have satisfying coverage probabilities. The proposed approach can be simply carried out by a few simulation steps. Therefore, it is an ideal candidate for making inferences about the mean response in a log-regression model.
KW - Confidence intervals
KW - Generalized P-values
KW - Generalized confidence intervals
KW - Generalized variable
UR - https://www.scopus.com/pages/publications/36348975873
UR - https://www.scopus.com/pages/publications/36348975873#tab=citedBy
U2 - 10.1002/sim.2911
DO - 10.1002/sim.2911
M3 - Article
C2 - 17476648
AN - SCOPUS:36348975873
SN - 0277-6715
VL - 26
SP - 5180
EP - 5188
JO - Statistics in Medicine
JF - Statistics in Medicine
IS - 28
ER -