about
Fallibility in estimating direct effectsMilitary combat and burden of subclinical atherosclerosis in middle aged men: the ARIC study.Exploring the effect of erythropoietin on mortality using USRDS data.Marginal structural models for comparing alternative treatment strategies in ophthalmology using observational data.Optimization of multi-stage dynamic treatment regimes utilizing accumulated dataEstimating the average treatment effect on survival based on observational data and using partly conditional modelingReducing bias through directed acyclic graphs.Structural nested mean models for assessing time-varying effect moderationTime-varying effect moderation using the structural nested mean model: estimation using inverse-weighted regression with residuals.Using marginal structural measurement-error models to estimate the long-term effect of antiretroviral therapy on incident AIDS or deathInfluence of healthy candidate bias in assessing clinical effectiveness for implantable cardioverter-defibrillators: cohort study of older patients with heart failureMilitary combat and risk of coronary heart disease and ischemic stroke in aging men: The Atherosclerosis Risk in Communities (ARIC) study.Beyond the 'transition' frameworks: the cross-continuum of health, disease and mortality frameworkOptimization of individualized dynamic treatment regimes for recurrent diseases.Smoking and smoking cessation in relation to mortality in women.On quantifying the magnitude of confounding.The parametric g-formula to estimate the effect of highly active antiretroviral therapy on incident AIDS or death.Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment.Equivalence of the mediation, confounding and suppression effect.Introduction to dynamic treatment strategies and sequential multiple assignment randomization.Principles of study design in environmental epidemiologyLongitudinal studies with continuous responses.Estimating the Causal Effect of Low Tidal Volume Ventilation on Survival in Patients with Acute Lung InjuryAirflow obstruction, lung function, and risk of incident heart failure: the Atherosclerosis Risk in Communities (ARIC) studyAntimicrobial resistance and patient outcomes: the hazards of adjustmentMachine Learning for Treatment Assignment: Improving Individualized Risk Attribution.Intermediate outcomes in randomized clinical trials: an introduction.Adaptive treatment strategies in chronic diseasePhysical activity and lung cancer among non-smokers: a pilot molecular epidemiological study within EPIC.Raising standards while watching the bottom line: making a business case for infection control.From chronic low back pain to disability, a multifactorial mediated pathway: the InCHIANTI studyImpact of time to start treatment following infection with application to initiating HAART in HIV-positive patients.An EGFR and AKT Signaling Pathway was Identified with Mediation Model in Osteosarcomas Clinical Study.Clinical and economic burden of antimicrobial resistance.Overadjustment bias and unnecessary adjustment in epidemiologic studies.Thromboprophylaxis, bleeding and post-operative prosthetic joint infection in total hip and knee arthroplasty: a comprehensive literature review.A two-stage model in a Bayesian framework to estimate a survival endpoint in the presence of confounding by indication.Surrogates, meta-analysis and cost-effectiveness modelling: a combined analytic approach.Subgroups analysis when treatment and moderators are time-varying.The urban built environment and obesity in New York City: a multilevel analysis.
P2860
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P2860
description
1989 nî lūn-bûn
@nan
1989 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
1989 թվականի հունիսին հրատարակված գիտական հոդված
@hy
1989年の論文
@ja
1989年論文
@yue
1989年論文
@zh-hant
1989年論文
@zh-hk
1989年論文
@zh-mo
1989年論文
@zh-tw
1989年论文
@wuu
name
The control of confounding by intermediate variables.
@ast
The control of confounding by intermediate variables.
@en
The control of confounding by intermediate variables.
@nl
type
label
The control of confounding by intermediate variables.
@ast
The control of confounding by intermediate variables.
@en
The control of confounding by intermediate variables.
@nl
prefLabel
The control of confounding by intermediate variables.
@ast
The control of confounding by intermediate variables.
@en
The control of confounding by intermediate variables.
@nl
P356
P1476
The control of confounding by intermediate variables.
@en
P2093
P304
P356
10.1002/SIM.4780080608
P407
P577
1989-06-01T00:00:00Z