Pages that link to "Item:Q897201"
From MaRDI portal
The following pages link to Estimation in longitudinal studies with nonignorable dropout (Q897201):
Displaying 18 items.
- A simulation-based marginal method for longitudinal data with dropout and mismeasured covariates (Q146172) (← links)
- An analysis of longitudinal data with nonignorable dropout using the truncated multivariate normal distribution (Q406530) (← links)
- Estimation of finite population duration distributions from longitudinal survey panels with intermittent followup (Q746473) (← links)
- A Dirichlet process mixture model for non-ignorable dropout (Q2057350) (← links)
- Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size (Q2135387) (← links)
- Efficient estimation in a partially specified nonignorable propensity score model (Q2157489) (← links)
- Approximate conditional likelihood for generalized linear models with general missing data mechanism (Q2402227) (← links)
- An efficient method of estimation for longitudinal surveys with monotone missing data (Q2913855) (← links)
- Parameter Estimation in Longitudinal Studies with Outcome-Dependent Follow-Up (Q3078999) (← links)
- The common structure of several models for non-ignorable dropout (Q3427633) (← links)
- Protective estimation of longitudinal categorical data with nonrandom dropout (Q4337302) (← 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)
- Robust statistical inference for longitudinal data with nonignorable dropouts (Q5044086) (← links)
- Semiparametric inference for estimating equations with nonignorably missing covariates (Q5375958) (← links)
- Some issues on longitudinal data with nonignorable dropout, a discussion of “Statistical Inference for Nonignorable Missing-Data Problems: A Selective Review” by Niansheng Tang and Yuanyuan Ju (Q5879964) (← links)
- Model‐Assisted Regression Estimators for Longitudinal Data with Nonignorable Dropout (Q6090532) (← links)
- A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism (Q6110710) (← links)
