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133 results on '"covariate selection"'

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1. Single- and Multilevel Perspectives on Covariate Selection in Randomized Intervention Studies on Student Achievement.

2. Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure.

3. Covariate selection in causal learning under non-Gaussianity.

4. Go beyond the limits of genetic algorithm in daily covariate selection practice.

5. LASSO–penalized clusterwise linear regression modelling: a two–step approach.

6. posw: A command for the stepwise Neyman-orthogonal estimator.

8. Climate covariate selection influences MaxEnt model predictions and predictive accuracy under current and future climates.

9. Elaboration Models with Symmetric Information Divergence.

10. Finite-sample results for lasso and stepwise Neyman-orthogonal Poisson estimators.

12. Variable Selection for Interval‐censored Failure Time Data.

13. Recommendations for the use of propensity score methods in multiple sclerosis research.

14. Covariate Selection from Data Collection Onwards: A Methodology for Neurosurgeons.

15. Adaptive pre‐specification in randomized trials with and without pair‐matching

16. Causal drivers of climate‐mediated coral reef regime shifts.

17. Causal drivers of climate‐mediated coral reef regime shifts

18. Confounder selection strategies targeting stable treatment effect estimators.

19. Predicting spatiotemporal abundance of breeding waterfowl across Canada: A Bayesian hierarchical modelling approach.

20. Variable selection in generalized estimating equations via empirical likelihood and Gaussian pseudo-likelihood.

22. Data‐driven confounder selection via Markov and Bayesian networks.

24. A new covariate selection strategy for high dimensional data in causal effect estimation with multivariate treatments.

25. Selection of Sufficient Adjustment Sets for Causal Inference : A Comparison of Algorithms and Evaluation Metrics for Structure Learning

26. Methods for handling model misspecification in pharmacometric model-based approaches for the analysis of longitudinal clinical trial data

27. Machine learning for improving high-dimensional proxy confounder adjustment in healthcare database studies: An overview of the current literature

28. Confounding Equivalence in Causal Inference

30. Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach

31. Data-driven algorithms for dimension reduction in causal inference.

32. Stability selection for mixed effect models with large numbers of predictor variables: A simulation study.

33. Component selection in additive quantile regression models.

34. Blinded versus Unblinded Covariate Selection in Confirmatory Survival Trials.

35. Confounder selection strategies targeting stable treatment effect estimators

36. A review of covariate selection for non-experimental comparative effectiveness research.

37. Which covariates should be controlled in propensity score matching? Evidence from a simulation study.

38. Identification and Identification Failure for Treatment Effects Using Structural Systems.

39. Spatial distribution of Lindane concentration in topsoil across France

40. Statistical inference using a weighted difference-based series approach for partially linear regression models

41. Evaluations of agri-environmental schemes based on observational farm data: The importance of covariate selection.

42. Automatic covariate selection in logistic models for chest pain diagnosis: A new approach

43. Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model.

44. Application of Resampling Techniques to Estimate Exact Significance Levels for Covariate Selection During Nonlinear Mixed Effects Model Building: Some Inferences.

45. Refining Ontario's soil property maps based on legacy soil data

46. Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations.

47. The Bayesian analysis of population pharmacokinetic models.

48. Variable selection methods were poorly reported but rarely misused in major medical journals: Literature review.

49. Data-driven algorithms for dimension reduction in causal inference

50. Confounding Equivalence in Causal Inference

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