Ya-mei Chang - Academia.edu (original) (raw)
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Papers by Ya-mei Chang
Environmetrics, Aug 31, 2011
Journal of Computational and Graphical Statistics, Mar 1, 2010
International Journal of Cardiology, 2007
Jacc-cardiovascular Interventions, Nov 1, 2017
Statistics & Probability Letters, 2003
Scandinavian Journal of Statistics, 2013
Journal of Computational and Graphical Statistics, 2013
For a spatial point process model in which the intensity depends on spatial covariates, we develo... more For a spatial point process model in which the intensity depends on spatial covariates, we develop graphical diagnostics for validating the covariate effect term in the model, and for assessing whether another covariate should be added to the model. The diagnostics are point-process counterparts of the well-known partial residual plots (component-plus-residual plots) and added-variable plots for generalized linear models. The
Journal of Computational and Graphical Statistics, 2010
ABSTRACT We propose a method for estimating nonstationary spatial covariance functions by represe... more ABSTRACT We propose a method for estimating nonstationary spatial covariance functions by representing a spatial process as a linear combination of some local basis functions with uncorrelated random coefficients and some stationary processes, based on spatial data sampled in space with repeated measurements. By incorporating a large collection of local basis functions with various scales at various locations and stationary processes with various degrees of smoothness, the model is flexible enough to represent a wide variety of nonstationary spatial features. The covariance estimation and model selection are formulated as a regression problem with the sample covariances as the response and the covariances corresponding to the local basis functions and the stationary processes as the predictors. A constrained least squares approach is applied to select appropriate basis functions and stationary processes as well as estimate parameters simultaneously. In addition, a constrained generalized least squares approach is proposed to further account for the dependencies among the response variables. A simulation experiment shows that our method performs well in both covariance function estimation and spatial prediction. The methodology is applied to a U.S. precipitation dataset for illustration. Supplemental materials relating to the application are available online.
European Journal of Pediatrics, 2009
Ebstein&a... more Ebstein's anomaly is a rare, congenital cardiac anomaly that may result in cyanosis, right heart failure, and tachyarrhythmia during the newborn stage or after adolescence. This study investigated the data of 77 patients diagnosed between 1980 and 2006 at a tertiary care center in Taiwan. Patients were grouped into either an early group or a late group. Survival declined rapidly within the newborn stage in the early group, but declined only during the third decade in the late group. Surgical results were poor (20% success rate) for neonatal systemic-to-pulmonary shunts in those cases with associated pulmonary atresia, but were satisfactory for other surgical modes. Supraventricular tachyarrhythmia occurred in 31 (41%) patients at a median age of 10 years and could be eliminated by radiofrequency ablation (81% success rate), though the recurrence rate was high (41%). In conclusion, other than those cases requiring shunts at the newborn stage, the long-term outcome was favorable.
Computational Statistics & Data Analysis, 2008
International Journal of Cardiology, 2007
Environmetrics, Aug 31, 2011
Journal of Computational and Graphical Statistics, Mar 1, 2010
International Journal of Cardiology, 2007
Jacc-cardiovascular Interventions, Nov 1, 2017
Statistics & Probability Letters, 2003
Scandinavian Journal of Statistics, 2013
Journal of Computational and Graphical Statistics, 2013
For a spatial point process model in which the intensity depends on spatial covariates, we develo... more For a spatial point process model in which the intensity depends on spatial covariates, we develop graphical diagnostics for validating the covariate effect term in the model, and for assessing whether another covariate should be added to the model. The diagnostics are point-process counterparts of the well-known partial residual plots (component-plus-residual plots) and added-variable plots for generalized linear models. The
Journal of Computational and Graphical Statistics, 2010
ABSTRACT We propose a method for estimating nonstationary spatial covariance functions by represe... more ABSTRACT We propose a method for estimating nonstationary spatial covariance functions by representing a spatial process as a linear combination of some local basis functions with uncorrelated random coefficients and some stationary processes, based on spatial data sampled in space with repeated measurements. By incorporating a large collection of local basis functions with various scales at various locations and stationary processes with various degrees of smoothness, the model is flexible enough to represent a wide variety of nonstationary spatial features. The covariance estimation and model selection are formulated as a regression problem with the sample covariances as the response and the covariances corresponding to the local basis functions and the stationary processes as the predictors. A constrained least squares approach is applied to select appropriate basis functions and stationary processes as well as estimate parameters simultaneously. In addition, a constrained generalized least squares approach is proposed to further account for the dependencies among the response variables. A simulation experiment shows that our method performs well in both covariance function estimation and spatial prediction. The methodology is applied to a U.S. precipitation dataset for illustration. Supplemental materials relating to the application are available online.
European Journal of Pediatrics, 2009
Ebstein&a... more Ebstein's anomaly is a rare, congenital cardiac anomaly that may result in cyanosis, right heart failure, and tachyarrhythmia during the newborn stage or after adolescence. This study investigated the data of 77 patients diagnosed between 1980 and 2006 at a tertiary care center in Taiwan. Patients were grouped into either an early group or a late group. Survival declined rapidly within the newborn stage in the early group, but declined only during the third decade in the late group. Surgical results were poor (20% success rate) for neonatal systemic-to-pulmonary shunts in those cases with associated pulmonary atresia, but were satisfactory for other surgical modes. Supraventricular tachyarrhythmia occurred in 31 (41%) patients at a median age of 10 years and could be eliminated by radiofrequency ablation (81% success rate), though the recurrence rate was high (41%). In conclusion, other than those cases requiring shunts at the newborn stage, the long-term outcome was favorable.
Computational Statistics & Data Analysis, 2008
International Journal of Cardiology, 2007