Pages that link to "Item:Q4808061"
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The following pages link to A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data (Q4808061):
Displaying 50 items.
- A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information (Q5087530) (← links)
- Calibration using power transformation (Q5088110) (← links)
- (Q5101805) (← links)
- Combining Multiple Observational Data Sources to Estimate Causal Effects (Q5120690) (← links)
- A calibration-based approach to sensitive data: a simulation study (Q5126925) (← links)
- Doubly Robust Inference With Nonprobability Survey Samples (Q5146049) (← links)
- Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression (Q5177956) (← links)
- INCORPORATION OF THE JACKKNIFING PROCEDURE INTO THE THREE-STAGE CLUSTER SAMPLING DESIGN IN THE ESTIMATION OF FINITE POPULATION TOTALS (Q5204674) (← links)
- Bootstrapping probability-proportional-to-size samples via calibrated empirical population (Q5220742) (← links)
- Estimation of Poverty Rate and Quintile Share Ratio for Domains and Small Areas (Q5268846) (← links)
- (Q5431135) (← links)
- Selecting the amount of smoothing in nonparametric regression estimation for complex surveys (Q5460699) (← links)
- Two-step calibration of design weights in survey sampling (Q5739171) (← links)
- Meta-analysis of independent datasets using constrained generalised method of moments (Q5880032) (← links)
- A selective review of statistical methods using calibration information from similar studies (Q5880121) (← links)
- Comment: Struggles with survey weighting and regression modeling (Q5965661) (← links)
- Comments on: ``Deville and Särndal's calibration: revisiting a 25 years old successful optimization problem'' (Q5970845) (← links)
- Comments on: ``Deville and Särndal's calibration: revisiting a 25 years old successful optimization problem'' (Q5970846) (← links)
- Weight calibration to improve the efficiency of pure risk estimates from case‐control samples nested in a cohort (Q6047745) (← links)
- Improving Trial Generalizability Using Observational Studies (Q6055870) (← links)
- Statistical inference using regularized M-estimation in the reproducing kernel Hilbert space for handling missing data (Q6058524) (← links)
- Pseudo empirical likelihood inference for nonprobability survey samples (Q6059416) (← links)
- Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches (Q6059417) (← links)
- Calibration Weighting Methods for Complex Surveys (Q6064625) (← links)
- Linking of sample data to small areas (Q6067675) (← links)
- Restricted survival benefit with right‐censored data (Q6068808) (← links)
- Multiply robust estimation of the average treatment effect with missing outcomes (Q6074382) (← links)
- Weight calibration to improve efficiency for estimating pure risks from the additive hazards model with the nested case‐control design (Q6079327) (← links)
- Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach (Q6079489) (← links)
- Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models (Q6079851) (← links)
- Estimation Techniques for Ordinal Data in Multiple Frame Surveys with Complex Sampling Designs (Q6086547) (← links)
- Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
- Sampling Techniques for Big Data Analysis (Q6090536) (← links)
- Improved generalized raking estimators to address dependent covariate and failure‐time outcome error (Q6091680) (← links)
- The Generalized Oaxaca-Blinder Estimator (Q6107228) (← links)
- More effective estimation for additive hazards model in generalized case-cohort study (Q6181884) (← links)
- Improved estimation of average treatment effects under covariate-adaptive randomization methods (Q6555334) (← links)
- Calibration estimation for non-probability samples under two distance functions: a comparative study (Q6558525) (← links)
- New model-assisted estimators for the distribution function using the pseudo empirical likelihood method (Q6573702) (← links)
- Calibration estimation in survey sampling (Q6574874) (← links)
- Kernel regression utilizing external information as constraints (Q6593382) (← links)
- Robust propensity score weighting estimation under missing at random (Q6595778) (← links)
- On calibrated inverse probability weighting and generalized boosting propensity score models for mean estimation with incomplete survey data (Q6602038) (← links)
- On the most effective use of continuous auxiliary variables in regression estimation in survey sampling (Q6612366) (← links)
- Model-assisted estimators for time-to-event data from complex surveys (Q6617384) (← links)
- A unified approach for synthesizing population-level covariate effect information in semiparametric estimation with survival data (Q6627359) (← links)
- Synthesizing external aggregated information in the penalized Cox regression under population heterogeneity (Q6627991) (← links)
- Enhanced empirical likelihood estimation of incubation period of COVID-19 by integrating published information (Q6628456) (← links)
- Multiply robust subgroup analysis based on a single-index threshold linear marginal model for longitudinal data with dropouts (Q6628592) (← links)
- Information projection approach to smoothed propensity score weighting for handling selection bias under missing at random (Q6664139) (← links)
