In the Pre-Elementary Education Longitudinal Study (PEELS), imputation of item missing data was done using AutoImpute (AI) software, which uses semi-parametric modeling to form imputation classes. In this paper, we summarize PEELS experience with AI, investigate the bias aspect of the imputed data for the PEELS teacher questionnaire data, and study the variance estimation of imputed data using ...

Current methods used to analyze time to event data either rely on highly parametric assumptions which result in biased estimates of parameters which are purely chosen out of convenience, or are highly unstable because they ignore the global constraints of the true model. By using Targeted Maximum Likelihood Estimation (TMLE) one may consistently estimate parameters which directly answer the sta...

We propose a method for identifying models with good predictive performance in the family of Bayesian log-linear mixed Dirichlet process random effects count data. Their wide applicability makes assessment model crucial many fields, including disclosure risk estimation, which is focus present work. Rather than assessing on whole contingency table, we target specific objective analysis and two-s...

In epidemics many interesting quantities, like the reproduction number, depend on incubation period (time from infection to symptom onset) and/or generation time until a new person is infected another person). Therefore, estimation of distribution these two quantities distinct interest. However, this challenging problem since it normally not possible obtain precise observations variables. Inste...

While child and adolescent obesity is a serious public health concern, few studies have utilized parameters based on the causal inference literature to examine the potential impacts of early intervention. The purpose of this analysis was to estimate the causal effects of early interventions to improve physical activity and diet during adolescence on body mass index (BMI), a measure of adiposity...

reference curves are useful tools to monitor children’s growth status and can promote growth velocity in infants. in this regard, various parametric and semi-parametric methods are frequently used in the last decades. in the present paper, nonparametric quintile regression method is used as a powerful and applicable methodology to estimate height curves and normal values of height-for-age in ch...