Pages that link to "Item:Q4299481"
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The following pages link to Semiparametric analysis of the additive risk model (Q4299481):
Displaying 50 items.
- Inference for probability of selection with dependently truncated data using a Cox model (Q5267888) (← links)
- Semiparametric analysis of multivariate panel count data with dependent observation processes and a terminal event (Q5299883) (← links)
- Additive Mixed Effect Model for Clustered Doubly Censored Data (Q5299966) (← links)
- Doubly robust estimator for net survival rate in analyses of cancer registry data (Q5347410) (← links)
- MEAN RESIDUAL LIFE FUNCTION FOR ADDITIVE AND MULTIPLICATIVE HAZARD RATE MODELS (Q5358079) (← links)
- An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models (Q5391149) (← links)
- Auxiliary covariate in additive hazards regression for survival data (Q5419456) (← links)
- Multi-state models for bone marrow transplantation studies (Q5424137) (← links)
- Local likelihood with time‐varying additive hazards model (Q5442068) (← links)
- Additive Risk Models for Survival Data with High‐Dimensional Covariates (Q5473226) (← links)
- (Q5691583) (← links)
- A General Class of Bayesian Survival Models with Zero and Nonzero Cure Fractions (Q5714622) (← links)
- Augmented-limited regression models with an application to the study of the risk perceived using continuous scales (Q5861473) (← links)
- Bayesian analysis of the Box-Cox transformation model based on left-truncated and right-censored data (Q5861609) (← links)
- A kernel smoothed semiparametric survival model (Q5950626) (← links)
- Checking the linear transformation model for clustered failure time observations (Q5963034) (← links)
- Maximum Likelihood Estimation in the Additive Hazards Model (Q6055736) (← links)
- Matching distributions for survival data (Q6059394) (← links)
- New methods for the additive hazards model with the informatively interval‐censored failure time data (Q6064196) (← links)
- Weight calibration to improve efficiency for estimating pure risks from the additive hazards model with the nested case‐control design (Q6079327) (← links)
- Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors (Q6099545) (← links)
- The partly parametric and partly nonparametric additive risk model (Q6103252) (← links)
- Cox regression can be collapsible and aalen regression can be non-collapsible (Q6103253) (← links)
- Surrogate marker assessment using mediation and instrumental variable analyses in a case-cohort design (Q6104106) (← links)
- Treatment Effect Estimation Under Additive Hazards Models With High-Dimensional Confounding (Q6107211) (← links)
- Statistical inference for case-cohort design under the additive hazards model with covariate adjustment (Q6141678) (← links)
- The Cox–Aalen model for recurrent‐event data with a dependent terminal event (Q6147750) (← links)
- Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data (Q6164154) (← links)
- Compound Poisson shared frailty models based on additive hazards (Q6164706) (← links)
- Bayesian empirical analysis of the proportional hazards model for right-censored failure time data (Q6181856) (← links)
- More effective estimation for additive hazards model in generalized case-cohort study (Q6181884) (← links)
- A multiple imputation approach for the Cox-Aalen cure model with interval-censored data (Q6204705) (← links)
- Method of model checking for case II interval-censored data under the additive hazards model (Q6490396) (← links)
- Optimal subsampling for the Cox proportional hazards model with massive survival data (Q6541937) (← links)
- Efficient estimation of the additive risks model for interval-censored data (Q6547607) (← links)
- Estimation of complier causal treatment effects under the additive hazards model with interval-censored data (Q6549208) (← links)
- Competing risks regression for clustered survival data via the marginal additive subdistribution hazards model (Q6555330) (← links)
- Renewable learning for multiplicative regression with streaming datasets (Q6567463) (← links)
- Bias of the additive hazard model in the presence of causal effect heterogeneity (Q6571293) (← links)
- Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors (Q6580640) (← links)
- Regression analysis of clustered panel count data with additive mean models (Q6581305) (← links)
- Additive subdistribution hazards regression for competing risks data in case-cohort studies (Q6589245) (← links)
- A semiparametric Cox-Aalen transformation model with censored data (Q6589255) (← links)
- Prognostic score-based methods for estimating center effects based on survival probability: application to post-kidney transplant survival (Q6615967) (← links)
- A flexible class of generalized joint frailty models for the analysis of survival endpoints (Q6617480) (← links)
- Simultaneous variable selection and estimation for survival data via the Gaussian seamless-\(L_0\) penalty (Q6618442) (← links)
- Shape restricted additive hazards models: monotone, unimodal, and U-shape hazard functions (Q6618458) (← links)
- Two-stage residual inclusion for survival data and competing risks -- an instrumental variable approach with application to SEER-medicare linked data (Q6625586) (← links)
- Semiparametric additive rates model for recurrent events data with intermittent gaps (Q6625950) (← links)
- Bayesian transformation models with partly interval-censored data (Q6626780) (← links)