546 results on '"Little, Roderick J."'
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2. A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys
3. Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: an application to the American Community Survey
4. A Case Study of Nonresponse Bias Analysis In Educational Assessment Surveys
5. Assessing Selection Bias in Regression Coefficients Estimated from Non-Probability Samples, with Applications to Genetics and Demographic Surveys
6. A Comparison of Three Popular Methods for Handling Missing Data: Complete-Case Analysis, Inverse Probability Weighting, and Multiple Imputation.
7. ON ALGORITHMIC AND MODELING APPROACHES TO IMPUTATION IN LARGE DATA SETS
8. Comment : "Models as Approximations I: Consequences Illustrated with Linear Regression" by A. Buja, R. Berk, L. Brown, E. George, E. Pitkin, L. Zhan and K. Zhang
9. Multiple imputation of more than one environmental exposure with nondifferential measurement error.
10. Indices of non-ignorable selection bias for proportions estimated from non-probability samples
11. Block-Conditional Missing at Random Models for Missing Data
12. Missing Data Analysis.
13. The “Law of Large Populations” Does Not Herald a Paradigm Shift in Survey Sampling
14. Quantitative magnetic resonance image analysis via the EM algorithm with stochastic variation
15. Comment: Struggles with Survey Weighting and Regression Modeling
16. Approaches to Improving Survey-Weighted Estimates
17. Conditions for Ignoring the Missing-Data Mechanism in Likelihood Inferences for Parameter Subsets
18. Multiple imputation of more than one environmental exposure with nondifferential measurement error
19. Inference for the Complier-Average Causal Effect from Longitudinal Data Subject to Noncompliance and Missing Data, with Application to a Job Training Assessment for the Unemployed
20. A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys
21. Addressing Disparities in the Propensity Score Distributions for Treatment Comparisons from Observational Studies
22. Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American Community Survey
23. Likelihood‐Based Inference for the Finite Population Mean with Post‐Stratification Information Under Non‐Ignorable Non‐Response
24. Comment on “confidence, credibility and prediction”
25. [Discussion of "On Bayesian Estimation of Marginal Structural Models"]
26. A Comparison of Three Popular Methods for Handling Missing Data: Complete-Case Analysis, Inverse Probability Weighting, and Multiple Imputation
27. Statistical Modeling Methodology for the Voting Rights Act Section 203 Language Assistance Determinations
28. Correlation of Peripheral Immunity With Rapid Amyotrophic Lateral Sclerosis Progression
29. Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models: Comment
30. A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys.
31. Analysis of Multivariate Monotone Missing Data by A Pseudolikelihood Method
32. An Evaluation of Asthma Interventions for Preteen Students
33. Analysis of Nonrandomly Censored Ordered Categorical Longitudinal Data from Analgesic Trials: Comment
34. Imputation
35. In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist
36. Regression Calibration Is Valid When Properly Applied
37. Non-response adjustment of survey estimates based on auxiliary variables subject to error
38. Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics.
39. Subsample ignorable likelihood for accelerated failure time models with missing predictors
40. A Pseudo-Bayesian Shrinkage Approach to Regression with Missing Covariates
41. On Using Summary Statistics From an External Calibration Sample to Correct for Covariate Measurement Error
42. A Shrinkage Approach for Estimating a Treatment Effect Using Intermediate Biomarker Data in Clinical Trials
43. Subsample ignorable likelihood for regression analysis with missing data
44. Longitudinal image analysis of tumour-healthy brain change in contrast uptake induced by radiation
45. Block-Conditional Missing at Random Models for Missing Data
46. Opening the Black Box of Biomarker Measurement Error
47. How Well Quantified Is the Limit of Quantification?
48. Estimation of Background Serum 2,3,7,8-TCDD Concentrations By Using Quantile Regression in the UMDES and NHANES Populations
49. Estimating causal effects in trials involving multitreatment arms subject to non-compliance: a Bayesian framework
50. A Review of Hot Deck Imputation for Survey Non-response
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