Adjusted Exponentially Tilted Likelihood with Applications to Brain Morphology

Adjusted exponentially tilted likelihood with applications to brain morphology.

In this article, we develop a nonparametric method, called adjusted exponentially tilted (ET) likelihood, and apply it to the analysis of morphometric measures. The adjusted exponential tilting estimator is shown to have the same first-order asymptotic properties as that of the original ET likelihood. The adjusted ET likelihood ratio statistic is applied to test linear hypotheses of unknown par...

Exponentially Tilted Empirical Likelihood

Newey and Smith (2001) have recently shown that Empirical Likelihood (EL) exhibits desirable higher-order asymptotic properties, namely, that its O ¡ n−1 ¢ bias is particularly small and that biascorrected EL is higher-order efficient. Although EL possesses these properties when the model is correctly specified, this paper shows that the asymptotic variance of EL in the presence of model misspe...

Adjusted Empirical Likelihood Method for Quantiles

Adjusted empirical likelihood and its properties

Computing profile empirical likelihood function is a key step in applications of empirical likelihood which involves constrained maximization. However, in some situations, solutions to the corresponding constraints may not exist. In this case, the convention is to assign a zero value to the profile empirical likelihood. This convention has at least two limitations. First, it is numerically diff...

Risk-adjusted survival time monitoring with an updating exponentially weighted moving average (EWMA) control chart.

Monitoring medical outcomes is desirable to help quickly detect performance changes. Previous applications have focused mostly on binary outcomes, such as 30-day mortality after surgery. However, in many applications the survival time data are routinely collected. In this paper, we propose an updating exponentially weighted moving average (EWMA) control chart to monitor risk-adjusted survival t...