Diagnosing and responding to violations in the positivity assumption - Wikidata - awgldk - TriplyDB

Diagnosing and responding to violations in the positivity assumption

Diagnosing and responding to violations in the positivity assumption

http://www.wikidata.org/entity/Q33938361

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Occupational radon exposure and lung cancer mortality: estimating intervention effects using the parametric g-formula Causal models and learning from data: integrating causal modeling and statistical estimation Assessing the component associations of the healthy worker survivor bias: occupational asbestos exposure and lung cancer mortality Estimating the effect of cumulative occupational asbestos exposure on time to lung cancer mortality: using structural nested failure-time models to account for healthy-worker survivor bias Factors associated with employment status before and during pregnancy: implications for studies of pregnancy outcomes Distribution-Free Mediation Analysis for Nonlinear Models with Confounding EFFECT OF BREASTFEEDING ON GASTROINTESTINAL INFECTION IN INFANTS: A TARGETED MAXIMUM LIKELIHOOD APPROACH FOR CLUSTERED LONGITUDINAL DATA.Identification, estimation and approximation of risk under interventions that depend on the natural value of treatment using observational data.Propensity score weighting for a continuous exposure with multilevel data.Effectiveness and safety of reduced dose non-vitamin K antagonist oral anticoagulants and warfarin in patients with atrial fibrillation: propensity weighted nationwide cohort study Application of marginal structural models in pharmacoepidemiologic studies: a systematic review.Cervical cancer precursors and hormonal contraceptive use in HIV-positive women: application of a causal model and semi-parametric estimation methods.Consistent causal effect estimation under dual misspecification and implications for confounder selection procedures Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap Population intervention causal effects based on stochastic interventions.Estimating population treatment effects from a survey subsample.Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment.A counterfactual approach to bias and effect modification in terms of response types.Improving propensity score estimators' robustness to model misspecification using super learner.On regression adjustment for the propensity score.Framing air pollution epidemiology in terms of population interventions, with applications to multipollutant modeling The roles of outlet density and norms in alcohol use disorder.Semiparametric Estimation of the Impacts of Longitudinal Interventions on Adolescent Obesity using Targeted Maximum-Likelihood: Accessible Estimation with the ltmle Package.Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in Madagascar What positive encounters with healthcare and social insurance staff promotes ability to return to work of long-term sickness absentees?Targeting Uric Acid and the Inhibition of Progression to End-Stage Renal Disease--A Propensity Score Analysis.Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.The Impact of Normal Range of Serum Phosphorus on the Incidence of End-Stage Renal Disease by A Propensity Score Analysis Population intervention models to estimate ambient NO2 health effects in children with asthma.Estimating marginal causal effects in a secondary analysis of case-control data.Neuraxial block and postoperative epidural analgesia: effects on outcomes in the POISE-2 trial†Are Early-Life Socioeconomic Conditions Directly Related to Birth Outcomes? Grandmaternal Education, Grandchild Birth Weight, and Associated Bias Analyses The role of ambient ozone in epidemiologic studies of heat-related mortality.Optimizing matching and analysis combinations for estimating causal effects.Calcium and linoleic acid supplements in the prevention of preeclampsia Targeted Maximum Likelihood Estimation for Pharmacoepidemiologic Research.Super learning to hedge against incorrect inference from arbitrary parametric assumptions in marginal structural modeling.Comparative effectiveness of dynamic treatment regimes: an application of the parametric g-formula Selection Bias Due to Loss to Follow Up in Cohort Studies.Causal inference in occupational epidemiology: accounting for the healthy worker effect by using structural nested models.

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P2860

Diagnosing and responding to violations in the positivity assumption

http://www.wikidata.org/entity/Q33938361

description

2010 nî lūn-bûn

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2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հոտեմբերին հրատարակված գիտական հոդված

@hy

2010年の論文

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2010年論文

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2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

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2010年論文

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2010年论文

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name

Diagnosing and responding to violations in the positivity assumption

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Diagnosing and responding to violations in the positivity assumption

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type

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Diagnosing and responding to violations in the positivity assumption

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Diagnosing and responding to violations in the positivity assumption

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prefLabel

Diagnosing and responding to violations in the positivity assumption

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Diagnosing and responding to violations in the positivity assumption

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Statistical Methods in Medical Research

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Diagnosing and responding to violations in the positivity assumption

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Kristin E Porter

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

Mark J van der Laan

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Maya L Petersen

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

Susan Gruber

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

Yue Wang

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P2860

A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods

Estimating causal effects of treatments in randomized and nonrandomized studies.

Marginal structural models and causal inference in epidemiology

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

Update of the drug resistance mutations in HIV-1: December 2009.

A practical illustration of the importance of realistic individualized treatment rules in causal inference.

Estimation and extrapolation of optimal treatment and testing strategies.

Constructing inverse probability weights for marginal structural models.

Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs

Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme

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31-54

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scholarly article

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10.1177/0962280210386207

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1

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21

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2010-10-28T00:00:00Z

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21030422

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4107929

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