6 Papers
1 Citations
Weiwei Wang is an academic researcher from University of Texas Health Science Center at Houston. The author has contributed to research in topics: Quantile & Statistical inference. The author has an hindex of 4, co-authored 5 publications.
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Papers
Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection
TL;DR: A data‐driven weighted linear combination of convex loss functions, together with weighted L1‐penalty is proposed and established a strong oracle property of the method proposed that has both the model selection consistency and estimation efficiency for the true non‐zero coefficients.
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Penalized Q-Learning for Dynamic Treatment Regimes
TL;DR: A new machine learning framework called penalized Q-learning is proposed, under which valid statistical inference is established and individual selection and corresponding methods for incorporating individual selection within penalizedQ-learning are proposed.
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Guidance Value of Procalcitonin Detection in Selecting Switching Points for Sequential Therapy in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease Complicated by Respiratory Failure
TL;DR: Detecting PCT can guide the selection of ventilation switching points in sequential mechanical ventilation therapy for patients with COPD with respiratory failure in the acute exacerbation stage, effectively reduce the misevaluation of PIC switching points so that patients can obtain stable criteria for judgement and effectively improve the efficiency and safety of mechanical ventilation treatment for patients in the chronic obstructive pulmonary disease stage.
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Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection
TL;DR: In this paper, a data-driven weighted linear combination of convex loss functions, together with weighted $L_1$-penalty is proposed to ensure the convexity of the penalty term and to ameliorate the bias caused by the weighted penalty.
Estimating the Causal Effect of Low Tidal Volume Ventilation on Survival in Patients with Acute Lung Injury.
Weiwei Wang,Daniel O. Scharfstein,Chenguang Wang,Michael J. Daniels,Dale M. Needham,Roy G. Brower +5 more
TL;DR: This work estimates the survival distribution in the counterfactual setting where all patients assigned to LTVV followed the regime by reanalysing data from the original trial and applying the methodology to data from a subsequent trial, which implemented the LTVv regime in both of its study arms and also suffered from non‐adherence.