Found: 26
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Machine learning for causal inference in Biostatistics.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Regulatory oversight, causal inference, and safe and effective health care machine learning.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Gaining power in multiple testing of interval hypotheses via conditionalization.
- Published in:
- 2020
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- Publication type:
- journal article
Can we learn individual-level treatment policies from clinical data?
- Published in:
- 2020
- By:
- Publication type:
- journal article
Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Teaching yourself about structural racism will improve your machine learning.
- Published in:
- 2020
- By:
- Publication type:
- journal article
A novel calibration framework for survival analysis when a binary covariate is measured at sparse time points.
- Published in:
- 2020
- By:
- Publication type:
- journal article
From development to deployment: dataset shift, causality, and shift-stable models in health AI.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Sparse relative risk regression models.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Cumulative incidence regression for dynamic treatment regimens.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Inferring mobility measures from GPS traces with missing data.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Missing data and prediction: the pattern submodel.
- Published in:
- 2020
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- Publication type:
- journal article
Pointless spatial modeling.
- Published in:
- 2020
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- Publication type:
- journal article
A graphical model for skewed matrix-variate non-randomly missing data.
- Published in:
- 2020
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- Publication type:
- journal article
The upstrap.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Incorporating historical models with adaptive Bayesian updates.
- Published in:
- 2020
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- Publication type:
- journal article
Generalized integrative principal component analysis for multi-type data with block-wise missing structure.
- Published in:
- 2020
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- Publication type:
- journal article
Predictive cluster level surrogacy in the presence of interference.
- Published in:
- 2020
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- Publication type:
- journal article
Bayesian model averaging for the X-chromosome inactivation dilemma in genetic association study.
- Published in:
- 2020
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- Publication type:
- journal article
Sequential Monte Carlo for response adaptive randomized trials.
- Published in:
- 2020
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- Publication type:
- journal article
Bayesian modeling of dependence in brain connectivity data.
- Published in:
- 2020
- By:
- Publication type:
- journal article
A benchmark for dose finding studies with continuous outcomes.
- Published in:
- 2020
- By:
- Publication type:
- journal article
The impact of different sources of heterogeneity on loss of accuracy from genomic prediction models.
- Published in:
- 2020
- By:
- Publication type:
- journal article
ℓ 1-Penalized censored Gaussian graphical model.
- Published in:
- 2020
- By:
- Publication type:
- journal article
The joint lasso: high-dimensional regression for group structured data.
- Published in:
- 2020
- By:
- Publication type:
- journal article
On the estimation of the incidence and prevalence in two-phase longitudinal sampling design.
- Published in:
- 2020
- By:
- Publication type:
- journal article