| scholarly article | Q13442814 |
| P50 | author | Francesca Dominici | Q42308653 |
| P2093 | author name string | Joseph Antonelli | |
| Corwin Zigler | |||
| P2860 | cites work | Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population | Q30714715 |
| Use of SEER-Medicare data for measuring cancer surgery | Q30714802 | ||
| Adjusting effect estimates for unmeasured confounding with validation data using propensity score calibration | Q30993245 | ||
| Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-level Information from External Big Data Sources | Q31124729 | ||
| Bayesian graphical models for regression on multiple data sets with different variables | Q33387800 | ||
| Improved Horvitz-Thompson Estimation of Model Parameters from Two-phase Stratified Samples: Applications in Epidemiology | Q33654985 | ||
| Extending the Bayesian Adjustment for Confounding algorithm to binary treatment covariates to estimate the effect of smoking on carotid intima-media thickness: the Multi-Ethnic Study of Atherosclerosis | Q33717547 | ||
| Joint effects of colorectal cancer susceptibility loci, circulating 25-hydroxyvitamin D and risk of colorectal cancer | Q35132050 | ||
| Performance of propensity score calibration--a simulation study. | Q35933863 | ||
| Supratentorial glioblastoma multiforme: the role of surgical resection versus biopsy among older patients | Q36181943 | ||
| Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models | Q41033350 | ||
| Imputation and variable selection in linear regression models with missing covariates | Q44641375 | ||
| Confounder selection via penalized credible regions | Q44875000 | ||
| Bayesian effect estimation accounting for adjustment uncertainty | Q45609008 | ||
| On model selection and model misspecification in causal inference | Q49083477 | ||
| Two-level stochastic search variable selection in GLMs with missing predictors. | Q51762509 | ||
| The central role of the propensity score in observational studies for causal effects | Q56882400 | ||
| P433 | issue | 3 | |
| P921 | main subject | imputation | Q1660484 |
| P304 | page(s) | 553-568 | |
| P577 | publication date | 2017-07-01 | |
| P1433 | published in | Biostatistics | Q4915301 |
| P1476 | title | Guided Bayesian imputation to adjust for confounding when combining heterogeneous data sources in comparative effectiveness research | |
| P478 | volume | 18 |
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