The following pages link to Joanna H. Shih (Q194222):
Displaying 26 items.
- An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data (Q614171) (← links)
- Semiparametric estimation of a nested random effects model for the analysis of multi-level clustered failure time data (Q961871) (← links)
- Assessing gamma frailty models for clustered failure time data (Q1906156) (← links)
- On Estimating the Relationship between Longitudinal Measurements and Time-to-Event Data Using a Simple Two-Stage Procedure (Q3064295) (← links)
- Modeling Familial Association of Ages at Onset of Disease in the Presence of Competing Risk (Q3076029) (← links)
- Latent Class Modeling Approaches for Assessing Diagnostic Error without a Gold Standard: With Applications to p53 Immunohistochemical Assays in Bladder Tumors (Q3078788) (← links)
- A Bivariate Cure-Mixture Approach for Modeling Familial Association in Diseases (Q3078821) (← links)
- Analysis of Survival Data from Case-Control Family Studies (Q3078980) (← links)
- Modeling Tumor Growth with Random Onset (Q3433219) (← links)
- On Use of Bivariate Survival Models with Cure Fraction (Q3433262) (← links)
- Permutation Tests Using Estimated Distribution Functions (Q3839613) (← links)
- A goodness-of-fit test for association in a bivariate survival model (Q3842834) (← links)
- (Q4218206) (← links)
- Tests of Independence for Bivariate Survival Data (Q4335601) (← links)
- Inferences on the Association Parameter in Copula Models for Bivariate Survival Data (Q4335636) (← links)
- Modeling Multivariate Discrete Failure Time Data (Q4666052) (← links)
- A Class of Permutation Tests for Stratified Survival Data (Q4668325) (← links)
- Latent Model for Correlated Binary Data with Diagnostic Error (Q4668339) (← links)
- Analysis of Failure Time Data with Multilevel Clustering, with Application to the Child Vitamin A Intervention Trial in Nepal (Q5434892) (← links)
- Case–Control and Case‐Only Designs with Genotype and Family History Data: Estimating Relative Risk, Residual Familial Aggregation, and Cumulative Risk (Q5473203) (← links)
- On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the <i>D</i>-Value (Q5869285) (← links)
- Sensitivity analysis using an imputation method for missing binary data in clinical trials (Q5939497) (← links)
- Pearson's Chi-Square Test and Rank Correlation Inferences for Clustered Data (Q6079977) (← links)
- Rank correlation inferences for clustered data with small sample size (Q6089388) (← links)
- Absolute and relative risk estimation in the presence of outcome ascertainment gaps and competing risks (Q6617482) (← links)
- Modelling the type and timing of consecutive events: application to predicting preterm birth in repeated pregnancies (Q6639095) (← links)
