Collaborative double robust targeted maximum likelihood estimation. - Wikidata - awgldk - TriplyDB

Collaborative double robust targeted maximum likelihood estimation.

Collaborative double robust targeted maximum likelihood estimation.

http://www.wikidata.org/entity/Q51611950

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Model averaged double robust estimation.Usual physical activity and hip fracture in older men: an application of semiparametric methods to observational data.Consistent causal effect estimation under dual misspecification and implications for confounder selection procedures Using variable importance measures from causal inference to rank risk factors of schistosomiasis infection in a rural setting in China Methods for estimating subgroup effects in cost-effectiveness analyses that use observational data.Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.Finding Quantitative Trait Loci Genes with Collaborative Targeted Maximum Likelihood Learning.Improving propensity score estimators' robustness to model misspecification using super learner.Rock, paper, scissors: harnessing complementarity in ortholog detection methods improves comparative genomic inference Adaptive pre-specification in randomized trials with and without pair-matching.Balancing Score Adjusted Targeted Minimum Loss-based Estimation.Evaluation of short message service and peer navigation to improve engagement in HIV care in South Africa: study protocol for a three-arm cluster randomized controlled trial.Hypertension and low HDL cholesterol were associated with reduced kidney function across the age spectrum: a collaborative study Targeted Maximum Likelihood Estimation for Pharmacoepidemiologic Research.Targeted maximum likelihood estimation in safety analysis.Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder.Covariate selection with group lasso and doubly robust estimation of causal effects.Outcome-adaptive lasso: Variable selection for causal inference.Collaborative targeted maximum likelihood estimation for variable importance measure: Illustration for functional outcome prediction in mild traumatic brain injuries.Estimating the Effect of a Community-Based Intervention with Two Communities.Finite-sample corrected generalized estimating equation of population average treatment effects in stepped wedge cluster randomized trials.Covariance adjustment on propensity parameters for continuous treatment in linear models.Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by Häggström.The Balance Super Learner: A robust adaptation of the Super Learner to improve estimation of the average treatment effect in the treated based on propensity score matching.Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data.Scalable collaborative targeted learning for high-dimensional data.Rejoinder: Remaining Challenges in Investigating Grade-Retention Effectiveness.Robust estimation of encouragement-design intervention effects transported across sites.Multiple robustness in factorized likelihood models.Targeted maximum likelihood estimation of natural direct effects.The relative performance of targeted maximum likelihood estimators.Targeted maximum likelihood estimation of effect modification parameters in survival analysis.Targeted maximum likelihood estimation of the parameter of a marginal structural model.Targeted maximum likelihood based causal inference: Part II.An application of collaborative targeted maximum likelihood estimation in causal inference and genomics.One-Step Targeted Minimum Loss-based Estimation Based on Universal Least Favorable One-Dimensional Submodels.Improvement in Gastrointestinal Symptoms After Cognitive Behavior Therapy for Refractory Irritable Bowel Syndrome.Simple, efficient estimators of treatment effects in randomized trials using generalized linear models to leverage baseline variables.Targeted maximum likelihood estimation for prediction calibration.

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Collaborative double robust targeted maximum likelihood estimation.

http://www.wikidata.org/entity/Q51611950

description

2010 nî lūn-bûn

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2010年の論文

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2010年学术文章

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2010年学术文章

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2010年学术文章

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2010年学术文章

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2010年学术文章

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2010年學術文章

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2010年學術文章

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name

Collaborative double robust targeted maximum likelihood estimation.

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Collaborative double robust targeted maximum likelihood estimation.

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type

label

Collaborative double robust targeted maximum likelihood estimation.

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Collaborative double robust targeted maximum likelihood estimation.

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prefLabel

Collaborative double robust targeted maximum likelihood estimation.

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Collaborative double robust targeted maximum likelihood estimation.

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International Journal of Biostatistics

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Collaborative double robust targeted maximum likelihood estimation.

@en

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Mark J van der Laan

http://www.w3.org/2001/XMLSchema#string

Susan Gruber

http://www.w3.org/2001/XMLSchema#string

P2860

Marginal Mean Models for Dynamic Regimes

Marginal structural models and causal inference in epidemiology

Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data.

The risk of virologic failure decreases with duration of HIV suppression, at greater than 50% adherence to antiretroviral therapy.

Biomarker discovery using targeted maximum-likelihood estimation: application to the treatment of antiretroviral-resistant HIV infection

Leisure-time physical activity and all-cause mortality in an elderly cohort.

Statistical methods for analyzing sequentially randomized trials

Estimation and extrapolation of optimal treatment and testing strategies.

Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men.

Asymptotic optimality of likelihood-based cross-validation.

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Article 17

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scholarly article

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10.2202/1557-4679.1181

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1

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6

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2010-05-17T00:00:00Z

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45185875

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20628637

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