P. Solenberger
Multiple Imputation in Practice · 2001–2018
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom P. Solenberger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts P. Solenberger overall
Papers from P. Solenberger's perspective
Ordered by how strongly the researchers P. Solenberger trusts endorse each paper. Same corpus, a different order for every researcher.
- Sampling-Based Approaches to Calculating Marginal Densities
- INFERENCE AND MISSING DATA
- Some Aspects of the Spline Smoothing Approach to Non‐Parametric Regression Curve Fitting
- Inference from Iterative Simulation Using Multiple Sequences
- Statistical Analysis With Missing Data
- Multiple Imputation After 18+ Years
- Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
- Matched Sampling for Causal Effects: The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies
Their papers
- Generalized Linear Model (2018) — 150 citations
- A multivariate technique for multiply imputing missing values using a sequence of regression models (2001) — 2,370 citations