Pages that link to "Item:Q2494657"
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The following pages link to Semiparametric theory and missing data. (Q2494657):
Displaying 50 items.
- Estimation in a general semiparametric hazards regression model with missing covariates (Q6106249) (← links)
- Semiparametric Efficiency in Convexity Constrained Single-Index Model (Q6107207) (← links)
- Estimation of Knots in Linear Spline Models (Q6107236) (← links)
- Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes (Q6110021) (← links)
- A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism (Q6110710) (← links)
- A modified net reclassification improvement statistic (Q6116896) (← links)
- Optimal Treatment Regimes: A Review and Empirical Comparison (Q6131429) (← links)
- Asymptotic justification of maximum likelihood estimation for the proportional excess hazard model in analysis of cancer registry data (Q6134371) (← links)
- Orthogonal statistical learning (Q6136574) (← links)
- An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer's clinical trial (Q6138572) (← links)
- Minimum information divergence of Q-functions for dynamic treatment resumes (Q6138797) (← links)
- Statistical inference with semiparametric nonignorable nonresponse models (Q6140339) (← links)
- Efficient t0$$ {t}_0 $$‐year risk regression using the logistic model (Q6140345) (← links)
- Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference (Q6144624) (← links)
- Efficient Estimation in the Fine and Gray Model (Q6144763) (← links)
- Fifty years with the Cox proportional hazards regression model (Q6149599) (← links)
- Asymptotic Properties of the Semi-Parametric Estimators of the Conditional Density for Functional Data in the Single Index Model with Missing Data at Random (Q6158333) (← links)
- On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects (Q6160989) (← links)
- Nonparametric regression with responses missing at random and the scale depending on auxiliary covariates (Q6162502) (← links)
- Pretest estimation in combining probability and non-probability samples (Q6170605) (← links)
- Handling missingness value on jointly measured time-course and time-to-event data (Q6171283) (← links)
- Treatment effects estimation with missing not at random data without outcome modeling (Q6172250) (← links)
- Kernel machines with missing covariates (Q6184885) (← links)
- Latent free equivalent mDAGs (Q6192400) (← links)
- Testing the missing at random assumption in generalized linear models in the presence of instrumental variables (Q6196805) (← links)
- Estimation of separable direct and indirect effects in a continuous-time illness-death model (Q6205049) (← links)
- Semiparametric location estimation under non-random sampling (Q6537817) (← links)
- A doubly robust weighting estimator of the average treatment effect on the treated (Q6541479) (← links)
- Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable (Q6547768) (← links)
- Appropriate use of parametric and nonparametric methods in estimating regression models with various shapes of errors (Q6548860) (← links)
- Model misspecification and bias for inverse probability weighting estimators of average causal effects (Q6550300) (← links)
- A calibration method to stabilize estimation with missing data (Q6554765) (← links)
- A unified framework of analyzing missing data and variable selection using regularized likelihood (Q6561261) (← links)
- Doubly Robust Capture-Recapture Methods for Estimating Population Size (Q6567926) (← links)
- Semiparametric estimation in generalized additive partial linear models with nonignorable nonresponse data (Q6581325) (← links)
- Optimizing treatment allocation in randomized clinical trials by leveraging baseline covariates (Q6589218) (← links)
- Interim monitoring of sequential multiple assignment randomized trials using partial information (Q6589227) (← links)
- An efficient data integration scheme for synthesizing information from multiple secondary datasets for the parameter inference of the main analysis (Q6589233) (← links)
- Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation (Q6589248) (← links)
- Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data (Q6590173) (← links)
- Robust rank canonical correlation analysis for multivariate survival data (Q6593383) (← links)
- Double bias: estimation of causal effects from length-biased samples in the presence of confounding (Q6593500) (← links)
- Unbiased and efficient estimation of causal treatment effects in crossover trials (Q6595087) (← links)
- Robust propensity score weighting estimation under missing at random (Q6595778) (← links)
- Data integration in causal inference (Q6601994) (← links)
- Variable selection in the presence of missing data: imputation-based methods (Q6607056) (← links)
- Estimation of treatment effect among treatment responders with a time-to-event endpoint (Q6608188) (← links)
- Semiparametric efficient estimation in high-dimensional partial linear regression models (Q6608193) (← links)
- Weighting estimation in the cause-specific Cox regression with partially missing causes of failure (Q6615904) (← links)
- Patient recruitment using electronic health records under selection bias: a two-phase sampling framework (Q6616325) (← links)