Detecting a Local Cohort Effect for Cancer Mortality Data Using a Varying Coefficient Model

Detecting a Local Cohort Effect for Cancer Mortality Data Using a Varying Coefficient Model

Detecting a Local Cohort Effect for Cancer Mortality Data Using a Varying Coefficient Model.

BACKGROUND Cancer mortality is increasing with the aging of the population in Japan. Cancer information obtained through feasible methods is therefore becoming the basis for planning effective cancer control programs. There are three time-related factors affecting cancer mortality, of which the cohort effect is one. Past descriptive epidemiologic studies suggest that the cohort effect is not ne...

Functional random effect time-varying coefficient model for longitudinal data.

We propose a functional random effect time-varying coefficient model to establish the dynamic relationship between the response and predictor variables in longitudinal data. This model allows us not only to interpret time-varying covariate effects, but also to depict random effects via time-varying profiles that are characterized by functional principal components. We develop the functional pro...

Long-term Iran's inflation analysis using varying coefficient model

Varying coefficient Models are among the most important tools for discovering the dynamic patterns when a fixed pattern does not fit adequately well on the data, due to existing diverse temporal or local patterns. These models are natural extensions of classical parametric models that have achieved great popularity in data analysis with good interpretability.The high flexibility and interpretab...

Spatial Varying Coefficient Regression Model For Relative Risk Factors of Esophageal Cancer Patients

In conventional methods for spatial survival data modeling, it is often assumed that the coefficients of explanatory variables in different regions have a constant effect on survival time. Usually, the spatial correlation of data through a random effect is also included in the model. But in many practical issues, the factors affecting survival time do not have the same effects in different regi...