Frontmatter

Artikel in diesem Heft

1. Frontmatter
2. Research Articles
3. Survival analysis using deep learning with medical imaging
4. Using a population-based Kalman estimator to model the COVID-19 epidemic in France: estimating associations between disease transmission and non-pharmaceutical interventions
5. Approximate reciprocal relationship between two cause-specific hazard ratios in COVID-19 data with mutually exclusive events
6. Sensitivity of estimands in clinical trials with imperfect compliance
7. Highly robust causal semiparametric U-statistic with applications in biomedical studies
8. Hierarchical Bayesian bootstrap for heterogeneous treatment effect estimation
9. Penalized logistic regression with prior information for microarray gene expression classification
10. Bayesian learners in gradient boosting for linear mixed models
11. Unequal allocation of sample/event sizes with considerations of sampling cost for testing equality, non-inferiority/superiority, and equivalence of two Poisson rates
12. HiPerMAb: a tool for judging the potential of small sample size biomarker pilot studies
13. Heterogeneity in meta-analysis: a comprehensive overview
14. On stochastic dynamic modeling of incidence data
15. Power of testing for exposure effects under incomplete mediation
16. Exact correction factor for estimating the OR in the presence of sparse data with a zero cell in 2 × 2 tables
17. Right-censored partially linear regression model with error in variables: application with carotid endarterectomy dataset
18. Assessing HIV-infected patient retention in a program of differentiated care in sub-Saharan Africa: a G-estimation approach
19. Prediction-based variable selection for component-wise gradient boosting