The following pages link to (Q4779059):
Displaying 50 items.
- Conceptual, computational and inferential benefits of the missing data perspective in applied and theoretical statistical problems (Q878277) (← links)
- Missing data methods in official statistics in the United Kingdom: some recent developments (Q878283) (← links)
- A nonparametric test of missing completely at random for incomplete multivariate data (Q888025) (← links)
- Multivariate imputation of unequally sampled geological variables (Q888402) (← links)
- Nonlinear wavelet density estimation with data missing at random when covariates are present (Q889153) (← links)
- An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random (Q889802) (← links)
- Covariate-adaptive designs with missing covariates in clinical trials (Q889806) (← links)
- A new variable importance measure for random forests with missing data (Q892440) (← links)
- Analysing mark-recapture-recovery data in the presence of missing covariate data via multiple imputation (Q894828) (← links)
- Asymptotic properties of a correlation matrix under a two-step monotone incomplete sample (Q896838) (← links)
- Chain event graphs for informed missingness (Q899005) (← links)
- Consensus-based decentralized real-time identification of large-scale systems (Q900223) (← links)
- Formal and informal model selection with incomplete data (Q900458) (← links)
- Copula-graphic estimators for the marginal survival function with censoring indicators missing at random (Q900927) (← links)
- Allowing for missing genotypes in any members of the nuclear families in transmission disequilibrium test (Q901491) (← links)
- Empirical likelihood calibration estimation for the median treatment difference in observational studies (Q901533) (← links)
- An imputation method for categorical variables with application to nonlinear principal component analysis (Q901642) (← links)
- Relaxation penalties and priors for plausible modeling of nonidentified bias sources (Q903273) (← links)
- A Bayesian approach for sensitivity analysis of incomplete multivariate longitudinal data with potential nonrandom dropout (Q904905) (← links)
- The MM alternative to EM (Q906520) (← links)
- Block-conditional missing at random models for missing data (Q906522) (← links)
- To explain or to predict? (Q906529) (← links)
- Likelihood inference for models with unobservables: another view (Q907953) (← links)
- Decoding the h-likelihood (Q907955) (← links)
- Interval estimation for messy observational data (Q907959) (← links)
- The impact of Levene's test of equality of variances on statistical theory and practice (Q907960) (← links)
- Theory and inference for regression models with missing responses and covariates (Q928866) (← links)
- On the matching noise of some nonparametric imputation procedures (Q945809) (← links)
- Testing for outliers from a mixture distribution when some data are missing (Q956746) (← links)
- The choice of smoothing parameter in nonparametric regression through wild bootstrap (Q957029) (← links)
- Multiple imputation of missing values in a cancer mortality analysis with estimated exposure dose (Q957264) (← links)
- Towards optimal use of incomplete classification data (Q958455) (← links)
- Bias in the last observation carried forward method under informative dropout (Q958780) (← links)
- Likelihood methods in randomized trials with noncompliance and subsequent nonresponse (Q958786) (← links)
- Estimating the linear regression model with categorical covariates subject to randomized response (Q959412) (← links)
- Using an approximate Bayesian bootstrap to multiply impute nonignorable missing data (Q961124) (← links)
- Confidence intervals for a common mean with missing data with applications in an AIDS study (Q961147) (← links)
- Estimation of the disease-specific diagnostic marker distribution under verification bias (Q961177) (← links)
- A generalization of Tyler's M-estimators to the case of incomplete data (Q962269) (← links)
- Semi-parametric marginal models for hierarchical data and their corresponding full models (Q962290) (← links)
- Impact of non-normal random effects on inference by multiple imputation: a simulation assessment (Q962317) (← links)
- A self-consistency approach to multinomial logit model with random effects (Q963886) (← links)
- Efficient ascertainment schemes for maximum likelihood estimation (Q963902) (← links)
- On \(L^{\infty }\) convergence of Neumann series approximation in missing data problems (Q968475) (← links)
- Bias correction in logistic regression with missing categorical covariates (Q974495) (← links)
- Sparse sampling: spatial design for monitoring stream networks (Q975569) (← links)
- A joint model for incomplete data in crossover trials (Q984639) (← links)
- The missing data assumptions of the NEAT design and their implications for test equating (Q985439) (← links)
- Latent class based multiple imputation approach for missing categorical data (Q989249) (← links)
- Semiparametric analysis based on weighted estimating equations for transformation models with missing covariates (Q990891) (← links)
