Pages that link to "Item:Q4668405"
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The following pages link to A Nonparametric Mixture Model for Cure Rate Estimation (Q4668405):
Displaying 38 items.
- Identifiability of cure models (Q5953881) (← links)
- On the estimation of hazard rate in mixed populations with its application (Q6053853) (← links)
- Modified score function for monotone likelihood in the semiparametric mixture cure model (Q6068494) (← links)
- Bi-level variable selection in semiparametric transformation mixture cure models for right-censored data (Q6073556) (← links)
- Nonparametric estimation in mixture cure models with covariates (Q6075543) (← links)
- Bayesian solution to the monotone likelihood in the standard mixture cure model (Q6089502) (← links)
- Exposure assessment for Cox proportional hazards cure models with interval‐censored survival data (Q6089751) (← links)
- A semiparametric promotion time cure model with support vector machine (Q6138594) (← links)
- Accelerated failure time vs Cox proportional hazards mixture cure models: David vs Goliath? (Q6157043) (← links)
- A linear spline Cox cure model with its applications (Q6177010) (← links)
- Profile likelihood estimation for the cox proportional hazards (PH) cure model and standard errors (Q6494438) (← links)
- Mixture cure model methodology in survival analysis: some recent results for the one-sample case (Q6500004) (← links)
- Piecewise linear approximations of baseline under proportional hazards based COM-Poisson cure models (Q6558491) (← links)
- Mean residual life cure models for right-censored data with and without length-biased sampling (Q6563660) (← links)
- A Bayesian proportional hazards mixture cure model for interval-censored data (Q6571290) (← links)
- Default risk analysis via a discrete-time cure rate model (Q6571859) (← links)
- Enhancing cure rate analysis through integration of machine learning models: a comparative study (Q6581679) (← links)
- Estimating causal effects in observational studies for survival data with a cure fraction using propensity score adjustment (Q6595077) (← links)
- A two-sample comparison of mean survival times of uncured subpopulations (Q6595790) (← links)
- Single-index mixture cure model under monotonicity constraints (Q6597263) (← links)
- Recent developments in expectation-maximization methods for analyzing complex data (Q6607911) (← links)
- A two-step estimation procedure for semiparametric mixture cure models (Q6608181) (← links)
- Analysis of clustered failure time data with cure fraction using copula (Q6625192) (← links)
- Penalized maximum likelihood inference under the mixture cure model in sparse data (Q6625753) (← links)
- On the parameter estimation of Box-Cox transformation cure model (Q6625797) (← links)
- On the integration of decision trees with mixture cure model (Q6626940) (← links)
- Nonparametric covariate hypothesis tests for the cure rate in mixture cure models (Q6627423) (← links)
- A new cure rate model with flexible competing causes with applications to melanoma and transplantation data (Q6627616) (← links)
- Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models (Q6627785) (← links)
- Promotion time cure rate model with a neural network estimated nonparametric component (Q6628130) (← links)
- Mixture proportional hazards cure model with latent variables (Q6628201) (← links)
- Laplacian-P-splines for Bayesian inference in the mixture cure model (Q6628398) (← links)
- Controlled variable selection in Weibull mixture cure models for high-dimensional data (Q6628564) (← links)
- Penalized likelihood estimation of a mixture cure Cox model with partly interval censoring -- an application to thin melanoma (Q6628629) (← links)
- A flexible-hazards cure model with application to patients with soft tissue sarcoma (Q6629414) (← links)
- Semiparametric estimation of the cure fraction in population-based cancer survival analysis (Q6629833) (← links)
- Semiparametric mixture cure model analysis with competing risks data: application to vascular access thrombosis data (Q6629867) (← links)
- Bayesian modeling of survival data in the presence of competing risks with cure fractions and masked causes (Q6648799) (← links)
