Pages that link to "Item:Q3411067"
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The following pages link to Inference on Survival Data with Covariate Measurement Error - An Imputation-based Approach (Q3411067):
Displaying 19 items.
- Measurement error in proportional hazards models for survival data with long-term survivors (Q511171) (← links)
- Semiparametric maximum likelihood estimation in Cox proportional hazards model with covariate measurement errors (Q604641) (← links)
- Hazard estimation with censoring and measurement error: application to length of pregnancy (Q1616698) (← links)
- Bayesian two-component measurement error modelling for survival analysis using INLA -- a case study on cardiovascular disease mortality in Switzerland (Q1658153) (← links)
- Survival estimation and testing via multiple imputation. (Q1871225) (← links)
- BATE curve in assessment of clinical utility of predictive biomarkers (Q1933991) (← links)
- Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error (Q2042523) (← links)
- A corrected profile likelihood method for survival data with covariate measurement error under the Cox model (Q2949770) (← links)
- Methods for Bivariate Survival Data with Mismeasured Covariates Under an Accelerated Failure Time Model (Q3424178) (← links)
- Discrete Proportional Hazards Models for Mismeasured Outcomes (Q3433229) (← links)
- (Q3434096) (← links)
- Inference for the Proportional Hazards Model with Misclassified Discrete-Valued Covariates (Q3442960) (← links)
- Non‐parametric Maximum Likelihood Estimation for Cox Regression with Subject‐Specific Measurement Error (Q3552938) (← links)
- Estimation for frailty measurement error Cox models based on profile likelihood and Bayes methods (Q5082589) (← links)
- Estimation and hypothesis testing with error‐contaminated survival data under possibly misspecified measurement error models (Q5094255) (← links)
- Estimation of the hazard function in a semiparametric model with covariate measurement error (Q5851013) (← links)
- SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale (Q6056150) (← links)
- Analysis of noisy survival data with graphical proportional hazards measurement error models (Q6076507) (← links)
- Approximate profile likelihood estimation for Cox regression with covariate measurement error (Q6626745) (← links)
