In many longitudinal studies, the response process is correlated with observation times and dropout. We propose a joint modeling for analysis of longitudinal data with informative observation times and dropout. We specify a semiparametric linear regression model for the longitudinal process, and accelerated time models for the observation and the dropout processes, while leaving the distributio...

Dropouts are common in longitudinal study. If the dropout probability depends on the missing observations at or after dropout, this type of dropout is called informative (or nonignorable) dropout (ID). Failure to accommodate such dropout mechanism into the model will bias the parameter estimates. We propose a conditional autoregressive model for longitudinal binary data with an ID model such th...

Within the pattern-mixture modeling framework for informative dropout, conditional linear models (CLMs) are a useful approach to deal with dropout that can occur at any point in continuous time (not just at observation times). However, in contrast with selection models, inferences about marginal covariate effects in CLMs are not readily available if nonidentity links are used in the mean struct...

In this paper I examine the relationship between high school dropout and teen childbearing. Understanding this relationship is complicated because both phenomena are likely affected by a variety of difficult to control factors. Using a panel data on aggregate dropout and fertility rates by age for all fifty states, I attempt to develop insight by instrumenting for dropout using information on s...

in this study, a robust controller is designed for fuzzy network control systems (ncss) using the static output feedback. delay and data packet dropout affect on the stability of network control systems, and therefore, the asymptotic stability condition is established considering delay and data packet dropout. delay is time-varying while the lower and upper bounds for delay is defined, and the ...