دانلود گزارش کارورزی و کار آموزی

چکیده : 

Analysis of dynamic traits is statistically challenging for several reasons. Since most of the dynamic traits result in

irregular sparse longitudinal measurements, a unified approach for jointly modeling the mean trajectories and

the underlying covariance structure is essential.When the traits are bivariate ormultivariate in nature,modeling

the covariance structure is really challenging. For the pharmacogenomic clinics, it is extremely important to have

a comprehensive study of the whole biological system. In other words, if the traits under consideration result in

some events (e.g., death, disease), then a joint analysis is required for the observed dynamic traits and the

event-time. In statistics, there is a vast literature on such joint modeling using parametric, nonparametric and

semiparametric approaches. In this article, we will discuss different aspects of modeling the longitudinal traits,

their limitations and importance to pharmacogenomic clinics