Bayesian longitudinal item response modeling with restricted covariance pattern structures
نویسندگان
چکیده
منابع مشابه
Bayesian Sample Size Determination for Joint Modeling of Longitudinal Measurements and Survival Data
A longitudinal study refers to collection of a response variable and possibly some explanatory variables at multiple follow-up times. In many clinical studies with longitudinal measurements, the response variable, for each patient is collected as long as an event of interest, which considered as clinical end point, occurs. Joint modeling of continuous longitudinal measurements and survival time...
متن کاملBayesian modeling of the covariance structure for irregular longitudinal data using the partial autocorrelation function
In long-term follow-up studies, irregular longitudinal data are observed when individuals are assessed repeatedly over time but at uncommon and irregularly spaced time points. Modeling the covariance structure for this type of data is challenging, as it requires specification of a covariance function that is positive definite. Moreover, in certain settings, careful modeling of the covariance st...
متن کاملModel-based Clustering with Noise: Bayesian Inference and Estimation
Bensmail, Celeux, Raftery and Robert (1997) introduced a new approach to cluster analysis based on geometric modeling based on the within-group covariance in a mixture of multivariate normal distributions using a fully Bayesian framework. This is a model-based methodology, where the covariance matrix structure is involved. Previously, similar structures were used (using a maximum likelihood app...
متن کاملA Bayesian Student Model without Hidden Nodes and its Comparison with Item Response Theory
The Bayesian framework offers a number of techniques for inferring an individual’s knowledge state from evidence of mastery of concepts or skills. A typical application where such a technique can be useful is Computer Adaptive Testing (CAT). A Bayesian modeling scheme, POKS, is proposed and compared to the traditional Item Response Theory (IRT), which has been the prevalent CAT approach for the...
متن کاملA Bayesian Approach to Estimate Parameters of a Random Coefficient Transition Binary Logistic Model with Non-monotone Missing Pattern and some Sensitivity Analyses
A transition binary logistic model with random coefficients is proposed to model the unemployment statues of household members in two seasons of spring and summer. Data correspond to the labor force survey performed by Statistical Center of Iran in 2006. This model is introduced to take into account two kinds of correlation in the data one due to the longitudinal nature o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Statistics and Computing
دوره 26 شماره
صفحات -
تاریخ انتشار 2016