The following pages link to (Q4779059):
Displaying 50 items.
- (Q5004037) (← links)
- (Q5011438) (← links)
- (Q5011475) (← links)
- (Q5019115) (← links)
- Nonparametric quantile regression with missing data using local estimating equations (Q5030943) (← links)
- Longitudinal data analysis in the presence of informative sampling: weighted distribution or joint modelling (Q5034142) (← links)
- Bayesian analysis of latent Markov models with non-ignorable missing data (Q5034174) (← links)
- An application of nonparametric regression to missing data in large market surveys (Q5035739) (← links)
- Split Questionnaire Designs: collecting only the data that you need through MCAR and MAR designs (Q5036429) (← links)
- Parametrizing the Kepler exoplanet period-radius distribution with the bivariate normal inverse Gaussian distribution (Q5036600) (← links)
- Bayesian sensitivity analysis to the non-ignorable missing cause of failure for hybrid censored competing risks data (Q5036867) (← links)
- Analysis of interval-censored competing risks data under missing causes (Q5036991) (← links)
- Stability enhanced variable selection for a semiparametric model with flexible missingness mechanism and its application to the ChAMP study (Q5037060) (← links)
- Semiparametric Inference of Causal Effect with Nonignorable Missing Confounders (Q5037781) (← links)
- FULL-SEMIPARAMETRIC-LIKELIHOOD-BASED INFERENCE FOR NON-IGNORABLE MISSING DATA (Q5037827) (← links)
- Robust statistical inference for longitudinal data with nonignorable dropouts (Q5044086) (← links)
- A Joint Modeling Approach for Longitudinal Outcomes and Non-ignorable Dropout under Population Heterogeneity in Mental Health Studies (Q5044650) (← links)
- (Q5054644) (← links)
- Single-index varying-coefficient models with missing covariates at random (Q5055214) (← links)
- Multiple imputation of masked competing risks data using machine learning algorithms (Q5055242) (← links)
- An ensemble learning method for variable selection: application to high-dimensional data and missing values (Q5055250) (← links)
- An expectation maximization algorithm for high-dimensional model selection for the Ising model with misclassified states* (Q5056934) (← links)
- Leveraging random assignment to impute missing covariates in causal studies (Q5065284) (← links)
- d-blink: Distributed End-to-End Bayesian Entity Resolution (Q5066405) (← links)
- Iterative Likelihood: A Unified Inference Tool (Q5066478) (← links)
- False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data (Q5066491) (← links)
- Robust Inference of Conditional Average Treatment Effects Using Dimension Reduction (Q5067434) (← links)
- Bayesian analysis of Turkish Income and Living Conditions data, using clustered longitudinal ordinal modelling with Bridge distributed random effects (Q5070482) (← links)
- Dimension-reduced empirical likelihood estimation and inference for M-estimators with nonignorable nonresponse (Q5072985) (← links)
- Semiparametric estimator for a secondary analysis with correlated outcomes (Q5076930) (← links)
- Asymptotic power comparison of <i>T</i><sup>2</sup>-type test and likelihood ratio test for a mean vector based on two-step monotone missing data (Q5077497) (← links)
- On the distribution of summary statistics for missing data (Q5078406) (← links)
- Varying coefficient single-index regression model with missing responses under rank-based modelling (Q5078824) (← links)
- Response-based multiple imputation method for minimizing the impact of covariate detection limit in logistic regression (Q5079045) (← links)
- Effect of nonnormality on tests for a mean vector with missing data under an elliptically contoured pattern-mixture model (Q5079074) (← links)
- Statistical inferences for varying coefficient partially non linear model with missing covariates (Q5079968) (← links)
- Analysis of mixed longitudinal (<i>k</i>,<i>l</i>)-Inflated power series, ordinal and continuous responses with sensitivity analysis to non-ignorable missing mechanism (Q5082700) (← links)
- Clustering and Prediction With Variable Dimension Covariates (Q5084445) (← links)
- Underground storage tanks (UST): A closer investigation statistical implications to changing the shape of a UST (Q5085046) (← links)
- Analysis of mixed correlated semi-continuous and β-inflated Poisson responses (Q5085081) (← links)
- Imputation methods for missing response values in the three parts of a central composite design with two factors (Q5086099) (← links)
- Mean functional estimation with non-ignorable missing data using influential exponential tilting resampling approach (Q5086103) (← links)
- Imputing missing quality of life data as covariate in survival analysis of the International Breast Cancer Study Group Trials VI and VII (Q5086174) (← links)
- Comparison of maximum likelihood approach, Diggle–Kenward selection model, pattern mixture model with MAR and MNAR dropout data (Q5086316) (← links)
- Statistical inference for competing risks model under progressive interval censored Weibull data (Q5086329) (← links)
- Control chart for monitoring the Weibull shape parameter under two competing risks (Q5087490) (← links)
- Comparisons of imputation methods with application to assess factors associated with self efficacy of physical activity in breast cancer survivors (Q5087526) (← links)
- Performance of standard imputation methods for missing quality of life data as covariate in survival analysis based on simulations from the International Breast Cancer Study Group Trials VI and VII* (Q5087979) (← links)
- On log-linear modeling for an incomplete two-way contingency table with one variable subject to nonresponse (Q5088015) (← links)
- Smoothed quantile regression with nonignorable dropouts (Q5089725) (← links)
