The following pages link to Daniel F. Heitjan (Q1184236):
Displaying 23 items.
- Ignorability and coarse data (Q1184237) (← links)
- Truth and memory: linking instantaneous and retrospective self-reported cigarette consumption (Q1940014) (← links)
- Evaluating costs with unmeasured confounding: a sensitivity analysis for the treatment effect (Q2441849) (← links)
- Impact of nonignorable coarsening on Bayesian inference (Q2838990) (← links)
- Prediction of individual long-term outcomes in smoking cessation trials using frailty models (Q2893389) (← links)
- Multiplicity-calibrated Bayesian hypothesis tests (Q3303560) (← links)
- Assessing Secular Trends in Blood Pressure: A Multiple-Imputation Approach (Q4314943) (← links)
- Ignorability in general incomplete-data models (Q4323536) (← links)
- (Q4363941) (← links)
- (Q4660390) (← links)
- Ignorability and Coarse Data: Some Biomedical Examples (Q4833924) (← links)
- Bayesian Analysis of a Protocol for Sampling Preserved Tumor Specimens (Q4836967) (← links)
- Multiple Imputation for the Fatal Accident Reporting System (Q4843934) (← links)
- A Simple Local Sensitivity Analysis Tool for Nonignorable Coarsening: Application to Dependent Censoring (Q5295390) (← links)
- A Note on the Complementary Mixture Pareto II Distribution (Q5299070) (← links)
- Ignorability conditions for frequentist non parametric analysis of conditional distributions with incomplete data (Q5349078) (← links)
- (Q5386623) (← links)
- Multiple Imputation for Model Checking: Completed‐Data Plots with Missing and Latent Data (Q5715354) (← links)
- Analysis of local sensitivity to nonignorability with missing outcomes and predictors (Q6055677) (← links)
- Estimating the optimal timing of surgery from observational data (Q6074528) (← links)
- Sensitivity of estimands in clinical trials with imperfect compliance (Q6590274) (← links)
- Statistical modeling and prediction of clinical trial recruitment (Q6625706) (← links)
- Estimating the optimal timing of surgery by imputing potential outcomes (Q6628226) (← links)
