Works matching IS 14654644 AND DT 2020 AND VI 21 AND IP 2

Results: 26

Machine learning for causal inference in Biostatistics.

Published in:

2020

By:

Rose, Sherri;
Rizopoulos, Dimitris

Publication type:

journal article

Regulatory oversight, causal inference, and safe and effective health care machine learning.

Published in:

2020

By:

Stern, Ariel Dora;
Price, W Nicholson

Publication type:

journal article

Can we learn individual-level treatment policies from clinical data?

Published in:

2020

By:

Shalit, Uri

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:

Díaz, Iván

Publication type:

journal article

From development to deployment: dataset shift, causality, and shift-stable models in health AI.

Published in:

2020

By:

Subbaswamy, Adarsh;
Saria, Suchi

Publication type:

journal article

Teaching yourself about structural racism will improve your machine learning.

Published in:

2020

By:

Robinson, Whitney R;
Renson, Audrey;
Naimi, Ashley I

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:

Nevo, Daniel;
Hamada, Tsuyoshi;
Ogino, Shuji;
Wang, Molin

Publication type:

journal article

Cumulative incidence regression for dynamic treatment regimens.

Published in:

2020

By:

Chen, Ling-Wan;
Yavuz, Idil;
Cheng, Yu;
Wahed, Abdus S

Publication type:

journal article

Generalized integrative principal component analysis for multi-type data with block-wise missing structure.

Published in:

2020

By:

Zhu, Huichen;
Li, Gen;
Lock, Eric F

Publication type:

journal article

Inferring mobility measures from GPS traces with missing data.

Published in:

2020

By:

Barnett, Ian;
Onnela, Jukka-Pekka

Publication type:

journal article

A graphical model for skewed matrix-variate non-randomly missing data.

Published in:

2020

By:

Zhang, Lin;
Bandyopadhyay, Dipankar

Publication type:

journal article

Incorporating historical models with adaptive Bayesian updates.

Published in:

2020

By:

Boonstra, Philip S;
Barbaro, Ryan P

Publication type:

journal article

The upstrap.

Published in:

2020

By:

Crainiceanu, Ciprian M;
Crainiceanu, Adina

Publication type:

journal article

Sparse relative risk regression models.

Published in:

2020

By:

Wit, Ernst C;
Augugliaro, Luigi;
Pazira, Hassan;
González, Javier;
Abegaz, Fentaw

Publication type:

journal article

Predictive cluster level surrogacy in the presence of interference.

Published in:

2020

By:

Gabriel, Erin E;
Follmann, Dean A

Publication type:

journal article

Bayesian modeling of dependence in brain connectivity data.

Published in:

2020

By:

Chen, Shuo;
Xing, Yishi;
Kang, Jian;
Kochunov, Peter;
Hong, L Elliot

Publication type:

journal article

Pointless spatial modeling.

Published in:

2020

By:

Wilson, Katie;
Wakefield, Jon

Publication type:

journal article

Missing data and prediction: the pattern submodel.

Published in:

2020

By:

Mercaldo, Sarah Fletcher;
Blume, Jeffrey D;
Fletcher Mercaldo, Sarah

Publication type:

journal article

The joint lasso: high-dimensional regression for group structured data.

Published in:

2020

By:

Dondelinger, Frank;
Mukherjee, Sach;
Initiative, The Alzheimer's Disease Neuroimaging;
Alzheimer’s Disease Neuroimaging Initiative

Publication type:

journal article

On the estimation of the incidence and prevalence in two-phase longitudinal sampling design.

Published in:

2020

By:

Banerjee, Prithish;
Ghosh, Samiran

Publication type:

journal article

Bayesian model averaging for the X-chromosome inactivation dilemma in genetic association study.

Published in:

2020

By:

Chen, Bo;
Craiu, Radu V;
Sun, Lei

Publication type:

journal article

Sequential Monte Carlo for response adaptive randomized trials.

Published in:

2020

By:

Golchi, Shirin;
Thorlund, Kristian

Publication type:

journal article

The impact of different sources of heterogeneity on loss of accuracy from genomic prediction models.

Published in:

2020

By:

Zhang, Yuqing;
Bernau, Christoph;
Parmigiani, Giovanni;
Waldron, Levi

Publication type:

journal article

A benchmark for dose finding studies with continuous outcomes.

Published in:

2020

By:

Mozgunov, Pavel;
Jaki, Thomas;
Paoletti, Xavier

Publication type:

journal article

Gaining power in multiple testing of interval hypotheses via conditionalization.

Published in:

2020

By:

Ellis, Jules L;
Pecanka, Jakub;
Goeman, Jelle J

Publication type:

journal article

ℓ 1-Penalized censored Gaussian graphical model.

Published in:

2020

By:

Augugliaro, Luigi;
Abbruzzo, Antonino;
Vinciotti, Veronica

Publication type:

journal article