Pages that link to "Item:Q4558438"
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The following pages link to Likelihood adjusted for nonignorable missing covariate values with unspecified propensity in generalized linear models (Q4558438):
Displaying 22 items.
- Weighted rank estimation for nonparametric transformation models with nonignorable missing data (Q830580) (← links)
- Iterated imputation estimation for generalized linear models with missing response and covariate values (Q1658989) (← links)
- A propensity score adjustment method for regression models with nonignorable missing covariates (Q1660142) (← links)
- Generalized signed-rank estimation for regression models with non-ignorable missing responses (Q2002713) (← links)
- Nonparametric regression with selectively missing covariates (Q2024472) (← links)
- On classification with nonignorable missing data (Q2034467) (← links)
- Instrument search in pseudo-likelihood approach for nonignorable nonresponse (Q2042524) (← links)
- On the maximal deviation of kernel regression estimators with NMAR response variables (Q2093143) (← links)
- Regularized quantile regression for ultrahigh-dimensional data with nonignorable missing responses (Q2189749) (← links)
- Approximate conditional likelihood for generalized linear models with general missing data mechanism (Q2402227) (← links)
- Adjusting for nonignorable missingness when estimating generalized additive models (Q2786160) (← links)
- Imputation of Continuous Variables Missing at Random using the Method of Simulated Scores (Q3298714) (← links)
- Tuning Parameter Selection in the LASSO with Unspecified Propensity (Q4556969) (← links)
- Stability enhanced variable selection for a semiparametric model with flexible missingness mechanism and its application to the ChAMP study (Q5037060) (← links)
- Empirical likelihood approach for change-point estimation based on residuals in piecewise linear models (Q5079948) (← links)
- Estimation for nonignorable missing response or covariate using semi-parametric quantile regression imputation and a parametric response probability model (Q5089461) (← links)
- Semiparametric inference for estimating equations with nonignorably missing covariates (Q5375958) (← links)
- Semiparametric likelihood for estimating equations with non-ignorable non-response by non-response instrument (Q5742403) (← links)
- Statistical methods without estimating the missingness mechanism: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju (Q5879967) (← links)
- Likelihood identifiability and parameter estimation with nonignorable missing data (Q6180924) (← links)
- On regression and classification with possibly missing response variables in the data (Q6594919) (← links)
- A kernel-type regression estimator for NMAR response variables with applications to classification (Q6606047) (← links)