Comparison of dynamic treatment regimes via inverse probability weighting.
about
Causal models and learning from data: integrating causal modeling and statistical estimationGene promoter methylation is associated with lung function in the elderly: the Normative Aging StudyEpigenetic influences on associations between air pollutants and lung function in elderly men: the normative aging studyAssociations between arrhythmia episodes and temporally and spatially resolved black carbon and particulate matter in elderly patientsCausal inference as an emerging statistical approach in neurology: an example for epilepsy in the elderly.Q-learning for estimating optimal dynamic treatment rules from observational data.Dynamic Treatment RegimesAn analytic framework for aligning observational and randomized trial data: Application to postmenopausal hormone therapy and coronary heart disease.Injectable and oral contraceptives and risk of HIV acquisition in women: an analysis of data from the MDP301 trial.Identification, estimation and approximation of risk under interventions that depend on the natural value of treatment using observational data.Severe COPD Exacerbation Risk and Long-Acting Bronchodilator Treatments: Comparison of Three Observational Data Analysis Methods.Estimation of the optimal regime in treatment of prostate cancer recurrence from observational data using flexible weighting models.A dynamic approach for reconstructing missing longitudinal data using the linear increments modelTime-varying effect moderation using the structural nested mean model: estimation using inverse-weighted regression with residuals.Estimation of dose-response functions for longitudinal data using the generalised propensity score.Relationship of immunologic response to antiretroviral therapy with non-AIDS defining cancer incidence.Effect of early versus deferred antiretroviral therapy for HIV on survival.Assessing methods for dealing with treatment switching in randomised controlled trials: a simulation study.When to initiate combined antiretroviral therapy to reduce mortality and AIDS-defining illness in HIV-infected persons in developed countries: an observational study.Evidence for risk stratification when monitoring for toxicities following initiation of combination antiretroviral therapyBlack carbon exposures, blood pressure, and interactions with single nucleotide polymorphisms in MicroRNA processing genesVirologic and immunologic response to HAART, by age and regimen classArmitage lecture 2010: Understanding treatment effects: the value of integrating longitudinal data and survival analysis.Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research.Associations between changes in city and address specific temperature and QT interval--the VA Normative Aging Study.The parametric g-formula to estimate the effect of highly active antiretroviral therapy on incident AIDS or death.An information criterion for marginal structural models.Evaluation of the duplication of staging CT scans for localized colon cancer in a Medicare population.Comparing marginal structural models to standard methods for estimating treatment effects of antihypertensive combination therapyLong-term increase in CD4+ T-cell counts during combination antiretroviral therapy for HIV-1 infectionMethods for dealing with time-dependent confounding.Adjuvant therapy sparing in rectal cancer achieving complete response after chemoradiationDoubly Robust Estimation of Optimal Dynamic Treatment Regimes.Inference on treatment effects from a randomized clinical trial in the presence of premature treatment discontinuation: the SYNERGY trial.Estimating the optimal CD4 count for HIV-infected persons to start antiretroviral therapyLimitation of inverse probability-of-censoring weights in estimating survival in the presence of strong selection bias.Delayed switch of antiretroviral therapy after virologic failure associated with elevated mortality among HIV-infected adults in Africa.Pattern-mixture-type Estimation and Testing of Neuroblastoma Treatment RegimesEstimating the Causal Effect of Low Tidal Volume Ventilation on Survival in Patients with Acute Lung InjuryImmediate versus deferred initiation of androgen deprivation therapy in prostate cancer patients with PSA-only relapse. An observational follow-up study
P2860
Q26852777-D78A9175-8D52-4C81-97FC-679505DC7C9EQ28383778-84E55D21-1711-4A6F-8CCF-290C1308194BQ28387520-883582D0-8FD3-4F05-9171-2A3892CEDAE0Q28390388-C0D3CE3D-2565-438D-9519-1E3E4659F4C4Q30238821-8E7CF832-A7C7-4383-BE47-2409977195B5Q30586413-A6D7946B-F799-4455-A521-F42FE87856C3Q30597725-847EC7C9-6675-4B90-92A9-F61E58DF543BQ30696956-65103B7E-0397-492A-8899-9974ABA5CB3DQ30823365-2569B150-A9A6-49C1-B1C1-444068A9294AQ30930256-05281C6E-1886-493A-AF3B-5CC0D6E5E337Q31137121-712452C2-2639-47F0-BF89-3148DEE291FAQ31145127-5A0A18C2-CF2A-4692-80F1-8F64EFEA2C75Q33554156-ADA2AC3F-47B3-43D0-8AAC-5C746C653EE6Q33561112-6F298E3A-AA28-4F87-A8D5-176BC75A2323Q33571525-4E7E4A0C-BFBA-4880-B751-5813842C433EQ33696149-DBE76C13-5832-4263-B9C5-BE6C804347CEQ33789114-25266B28-2B71-4310-A56A-81AE37CA523CQ33790415-7677FF5D-A2E1-4F93-AC78-BEB4F473FBC3Q33876261-CE0B8D41-C89B-4E47-82FA-1D9A508CEE95Q33939760-F4857BC1-5B36-438C-BE70-37D51EC66747Q34063083-31FEA243-AE5E-4E09-9D2F-C232FFB9D44AQ34137148-03C0222D-6D11-40F7-A3A6-039F1F74733AQ34205733-8A47508B-1E20-484C-BC32-0C3AC36AE530Q34206856-50E86C24-9C09-4878-AB51-5E540B44036FQ34215580-3E74B3A1-9F21-429A-9226-9FD8F3334349Q34229301-54C3E124-F619-4F10-8129-BB36233A0962Q34266978-7F7D26D4-9CE8-4147-86DE-CA164E1F9AECQ34339066-E1867B31-B148-42BE-AD21-C02E9F3E8618Q34367324-FD4D0A19-B6B9-4467-9E7B-6A2AC3C73E82Q34477711-D882A98D-0648-4D4C-95FD-8C756DFD663AQ34499170-2AF0C4C2-D120-49FE-96C4-FE660058E4D9Q34499179-0A9C37BF-86D1-4F37-816B-EA01A4E0647AQ34577708-4E102BA3-95D4-4535-8CD1-6AFDCD79CBD2Q34706540-A0E9EE16-6083-45AD-879F-1F8283565676Q34912247-F92F1826-FE34-4C79-B514-3F62A1F0377EQ35017912-61CF3FD6-09CB-4107-AD47-F3723D3608C7Q35049762-468A3C0B-D766-4951-BBA0-F995F91DEED2Q35149324-B5B26A0A-6835-49E5-93F8-DA2138704F33Q35400799-EE1849D4-BDEE-4AF4-9D72-0A3528682B52Q35470434-BBBDF912-2B46-4BFB-A895-24D799B5D03B
P2860
Comparison of dynamic treatment regimes via inverse probability weighting.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh
2006年學術文章
@zh-hant
name
Comparison of dynamic treatment regimes via inverse probability weighting.
@ast
Comparison of dynamic treatment regimes via inverse probability weighting.
@en
type
label
Comparison of dynamic treatment regimes via inverse probability weighting.
@ast
Comparison of dynamic treatment regimes via inverse probability weighting.
@en
prefLabel
Comparison of dynamic treatment regimes via inverse probability weighting.
@ast
Comparison of dynamic treatment regimes via inverse probability weighting.
@en
P2860
P1476
Comparison of dynamic treatment regimes via inverse probability weighting.
@en
P2093
James M Robins
Miguel A Hernán
P2860
P304
P356
10.1111/J.1742-7843.2006.PTO_329.X
P577
2006-03-01T00:00:00Z