Pages that link to "Item:Q1702506"
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The following pages link to Inference for nonprobability samples (Q1702506):
Displaying 39 items.
- Statistical data integration in survey sampling: a review (Q830265) (← links)
- Statistical paradises and paradoxes in big data. I: Law of large populations, big data paradox, and the 2016 US presidential election (Q1624804) (← links)
- Data learning from big data (Q1642365) (← links)
- Evaluating machine learning methods for estimation in online surveys with superpopulation modeling (Q1998585) (← links)
- On making valid inferences by integrating data from surveys and other sources (Q2040672) (← links)
- Combining statistical matching and propensity score adjustment for inference from non-probability surveys (Q2059608) (← links)
- Model-assisted SCAD calibration for non-probability samples (Q2077434) (← links)
- Model-assisted calibration with SCAD to estimated control for non-probability samples (Q2082483) (← links)
- Inference for non-probability samples under high-dimensional covariate-adjusted superpopulation model (Q2082488) (← links)
- Weight smoothing for nonprobability surveys (Q2084713) (← links)
- Variable selection in propensity score adjustment to mitigate selection bias in online surveys (Q2110345) (← links)
- Robust Bayesian inference for big data: combining sensor-based records with traditional survey data (Q2154206) (← links)
- Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys (Q2247506) (← links)
- Doubly Robust Inference With Nonprobability Survey Samples (Q5146049) (← links)
- On valid descriptive inference from non-probability sample (Q5880004) (← links)
- Comments on: ``Deville and Särndal's calibration: revisiting a 25 years old successful optimization problem'' (Q5970844) (← links)
- Matrix completion under complex survey sampling (Q6046052) (← links)
- General purpose multiply robust data integration procedures for handling nonprobability samples (Q6049756) (← links)
- Statistical inference from finite population samples: A critical review of frequentist and Bayesian approaches (Q6059417) (← links)
- Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference (Q6066747) (← links)
- Efficient and robust propensity‐score‐based methods for population inference using epidemiologic cohorts (Q6067163) (← links)
- Survey Weighting after Imperfect Linkage to an Administrative File (Q6067590) (← links)
- Estimating the Area under the ROC Curve When Transporting a Prediction Model to a Target Population (Q6079722) (← links)
- On Two Existing Approaches to Statistical Analysis of Social Media Data (Q6088252) (← links)
- Estimating Sampling Errors in Consumer Price Indices (Q6088635) (← links)
- Sampling Techniques for Big Data Analysis (Q6090536) (← links)
- Improving multilevel regression and poststratification with structured priors (Q6120423) (← links)
- Addressing selection bias and measurement error in COVID-19 case count data using auxiliary information (Q6138611) (← links)
- Pretest estimation in combining probability and non-probability samples (Q6170605) (← links)
- A dual-frame approach for estimation with respondent-driven samples (Q6175321) (← links)
- Inference with non-probability samples and survey data integration: a science mapping study (Q6175323) (← links)
- Applying multilevel regression weighting when only population margins are available (Q6181889) (← links)
- Enhancing estimation methods for integrating probability and nonprobability survey samples with machine-learning techniques. An application to a survey on the impact of the COVID-19 pandemic in Spain (Q6550310) (← links)
- Integrating probability and big non-probability samples data to produce official statistics (Q6580650) (← links)
- Bayesian estimation methods for survey data with potential applications to health disparities research (Q6604345) (← links)
- Generalizing randomized trial findings to a target population using complex survey population data (Q6627631) (← links)
- Adjusted logistic propensity weighting methods for population inference using nonprobability epidemiologic cohorts (Q6628023) (← links)
- Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information (Q6631667) (← links)
- Bayesian ideas in survey sampling: the legacy of Basu (Q6648791) (← links)
