The following pages link to Ignorability and coarse data (Q1184237):
Displaying 38 items.
- Arbitrariness of models for augmented and coarse data, with emphasis on incomplete data and random effects models (Q4970591) (← links)
- Multilevel models with multivariate mixed response types (Q4970916) (← links)
- Tutorial on methods for interval-censored data and their implementation in R (Q4970923) (← links)
- An expectation maximization algorithm for high-dimensional model selection for the Ising model with misclassified states* (Q5056934) (← links)
- Analysis of rounded exponential data (Q5124817) (← links)
- The Joint Distribution of the Discrete Random Set Vector and Bivariate Coarsening at Random Models (Q5126385) (← links)
- A statistical approach to address the problem of heaping in self-reported income data (Q5138029) (← links)
- A Simple Local Sensitivity Analysis Tool for Nonignorable Coarsening: Application to Dependent Censoring (Q5295390) (← links)
- Measures and tests of heaping in discrete quantitative distributions (Q5309220) (← links)
- Joint Modelling of Repeated Measurements and Time-to-Event Outcomes: Flexible Model Specification and Exact Likelihood Inference (Q5379902) (← links)
- Ignorability for general longitudinal data (Q5384472) (← links)
- Analysis of accumulated rounding errors in autoregressive processes (Q5495697) (← links)
- An equivalence result for moment equations when data are missing at random (Q5880013) (← links)
- Discreteness Causes Bias in Percentage-Based Comparisons: A Case Study From Educational Testing (Q5885375) (← links)
- A simple and fast alternative to the EM algorithm for incomplete categorical data and latent class models. (Q5940792) (← links)
- Discussion of ``Likelihood inference for models with unobservables: another view'' (Q5966344) (← links)
- A Gibbs Sampler for a Class of Random Convex Polytopes (Q6044625) (← links)
- New models for symbolic data analysis (Q6050755) (← links)
- Analysis of local sensitivity to nonignorability with missing outcomes and predictors (Q6055677) (← links)
- Uncertainty measures from partially rounded probabilistic forecast surveys (Q6067189) (← links)
- A Bayesian multiple imputation method for handling longitudinal pesticide data with values below the limit of detection (Q6069061) (← links)
- Optimality of testing procedures for survival data in the nonproportional hazards setting (Q6074503) (← links)
- Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations (Q6086589) (← links)
- Should data ever be thrown away? Pooling interval-censored data sets with different precision (Q6114035) (← links)
- Adversarial meta-learning of Gamma-minimax estimators that leverage prior knowledge (Q6184868) (← links)
- Synergies between machine learning and reasoning -- an introduction by the Kay R. Amel group (Q6577680) (← links)
- Covariate-adjusted response-adaptive designs based on semiparametric approaches (Q6589228) (← links)
- Informed censoring: the parametric combination of data and expert information (Q6592788) (← links)
- Inference in coarsened time series via generalized method of moments (Q6604031) (← links)
- Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies. II (Q6614639) (← links)
- Estimation of the distribution of longitudinal biomarker trajectories prior to disease progression (Q6625620) (← links)
- An inverse probability weighted regression method that accounts for right-censoring for causal inference with multiple treatments and a binary outcome (Q6626894) (← links)
- Assessing predictive accuracy of survival regressions subject to nonindependent censoring (Q6627316) (← links)
- A tractable method to account for high-dimensional nonignorable missing data in intensive longitudinal data (Q6627445) (← links)
- The polytomous discrimination index for prediction involving multistate processes under intermittent observation (Q6628492) (← links)
- Maximum likelihood estimation with missing outcomes: from simplicity to complexity (Q6628709) (← links)
- Sensitivity analysis for causal inference under unmeasured confounding and measurement error problems (Q6637420) (← links)
- On Tracking Varying Bounds When Forecasting Bounded Time Series (Q6637491) (← links)
