Generalized propensity score for estimating the average treatment effect of multiple treatments.
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Get the most from your data: a propensity score model comparison on real-life data.A tutorial on propensity score estimation for multiple treatments using generalized boosted modelsFactors Influencing Graft Choice in Revision Anterior Cruciate Ligament Reconstruction in the MARS Group.Endoscopic submucosal dissection for gastric cancer: the influence of hospital volume on complications and length of stay.Too many covariates and too few cases? - a comparative study.High Attenuation Areas on Chest CT and Clinical Respiratory Outcomes in Community-dwelling Adults.Recurrent Stroke in Minor Ischemic Stroke or Transient Ischemic Attack With Metabolic Syndrome and/or Diabetes Mellitus.Perioperative timing of infliximab and the risk of serious infection after elective hip and knee arthroplasty.Damage control surgery - experiences from a level I trauma centerEffect of dementia on outcomes of elderly patients with hemorrhagic peptic ulcer disease based on a national administrative database.The recent time trend of outcomes of disseminated intravascular coagulation in Japan: an observational study based on a national administrative database.Covariance adjustment on propensity parameters for continuous treatment in linear models.Time trend of medical economic outcomes of endoscopic submucosal dissection for gastric cancer in Japan: a national database analysis.On estimating average effects for multiple treatment groups.Propensity scores based methods for estimating average treatment effect and average treatment effect among treated: A comparative study.Estimating the average treatment effects of nutritional label use using subclassification with regression adjustment.Add-On Antihypertensive Medications to Angiotensin-Aldosterone System Blockers in Diabetes: A Comparative Effectiveness Study.Outlier classification performance of risk adjustment methods when profiling multiple providers.Clinical outcomes of patients with major depressive disorder treated with either duloxetine, escitalopram, fluoxetine, paroxetine, or sertraline
P2860
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P2860
Generalized propensity score for estimating the average treatment effect of multiple treatments.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh-hant
name
Generalized propensity score f ...... effect of multiple treatments.
@en
Generalized propensity score f ...... effect of multiple treatments.
@nl
type
label
Generalized propensity score f ...... effect of multiple treatments.
@en
Generalized propensity score f ...... effect of multiple treatments.
@nl
prefLabel
Generalized propensity score f ...... effect of multiple treatments.
@en
Generalized propensity score f ...... effect of multiple treatments.
@nl
P2093
P2860
P356
P1476
Generalized propensity score f ...... effect of multiple treatments.
@en
P2093
Ming-Yu Fan
Qing-Ming Zou
Xiao-Hua Zhou
Xiao-Song Li
P2860
P304
P356
10.1002/SIM.4168
P407
P577
2011-02-24T00:00:00Z