Abstract:
:Covariate adjustment methods are frequently used when baseline covariate information is available for randomized controlled trials. Using a simulation study, we compared the analysis of covariance (ANCOVA) with three nonparametric covariate adjustment methods with respect to point and interval estimation for the difference between means. The three alternative methods were based on important members of the generalized empirical likelihood (GEL) family, specifically on the empirical likelihood (EL) method, the exponential tilting (ET) method, and the continuous updated estimator (CUE) method. Two criteria were considered for the comparison of the four statistical methods: the root mean squared error and the empirical coverage of the nominal 95% confidence intervals for the difference between means. Based on the results of the simulation study, for sensitivity analysis purposes, we recommend the use of ANCOVA (with robust standard errors when heteroscedasticity is present) together with the CUE-based covariate adjustment method.
journal_name
Int J Environ Res Public Healthauthors
Chaussé P,Liu J,Luta Gdoi
10.3390/ijerph13040414subject
Has Abstractpub_date
2016-04-11 00:00:00pages
414issue
4eissn
1661-7827issn
1660-4601pii
ijerph13040414journal_volume
13pub_type
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