In many longitudinal studies, it is of interest to characterize the relationship between a time-to-event (e.g. survival) and time-dependent and time-independent covariates. Time-dependent covariates are generally observed intermittently and with error.For a single time-dependent covariate, a...

Deviations from a policy rule underpin empirical identification of monetary policy shocks. We cast light on how deviations arise by analyzing internal policy deliberations of the Federal Open Market Committee (FOMC). We show that policymakers’ beliefs about higher-order moments of economic...

SF6 gas is widely used in electric power apparatus as an insulation and arc-quenching medium. However, the application of SF6 gas faces two serious problems, including the heavy global warming effect and high toxicity of its decomposition products. So, scholars committed to finding...

We use a regulatory shock to examine the extent to which the prospect of short selling affects tax disclosure. From May 2005 to August 2007, the SEC initiated a pilot program under Regulation SHO, which temporarily exempted one-third of the firms in the Russell 3000 index from short sale price...

Murrayand Tsiatis (1996) described a weighted survival estimate thatincorporates prognostic time-dependent covariate informationto increase the efficiency of estimation. We propose a test statisticbased on the statistic of Pepe and Fleming (1989, 1991) thatincorporates these weighted survival...

This research develops nonparametric strategies for sequentially monitoring clinical trial data where detecting years of life saved is of interest. The recommended test statistic looks at integrated differences in survival estimates during the time frame of interest. In many practical...

In the first part of the dissertation, we derive two methods for responders analysis in longitudinal data with random missing data. Often a binary variable is generated by dichotomizing an underlying continuous variable measured at a specific point in time according to a prespecified threshold...

In many clinical studies, researchers are interested in theeffects of a set of prognostic factors on the hazard of death from a specific disease even though patients may die from other competing causes. Often the time to relapse is right-censored for some individuals due to incomplete follow-up....

Considerable recent interest has focused on doubly robust estimatorsfor a population mean response in the presence of incomplete data,which involve models for both the propensity score and the regressionof outcome on covariates. The ``usual" doubly robust estimator mayyield severely biased...

In many clinical studies, researchers are mainly interested in studying the effects of some prognostic factors on the hazard of failure from a specific cause while individuals may failure from multiple causes. This leads to a competing risks problem. Often, due to various reasons such as finite...