Estimating treatment effect via simple cross design synthesis.
about
Validation and calibration of structural models that combine information from multiple sources.The use of propensity scores and observational data to estimate randomized controlled trial generalizability bias.Get real in individual participant data (IPD) meta-analysis: a review of the methodologyCancer of unknown primary: Registered procedures compared with national integrated cancer pathway for illuminating external validity.Albumin in Burn Shock Resuscitation: A Meta-Analysis of Controlled Clinical Studies.Combining randomized and non-randomized evidence in clinical research: a review of methods and applications.Bayesian evidence synthesis for exploring generalizability of treatment effects: a case study of combining randomized and non-randomized results in diabetes.
P2860
Q30239838-14378206-66E2-4B23-9B4A-246B10A2E263Q30611719-EEED0C07-FFEF-439E-8328-46AD56E073B2Q30988193-E4E3E090-A888-414B-A597-464220FA9D78Q33606278-B7E8EF8C-1DFB-43D3-9D46-F543457E7AACQ36852293-81C64D22-4699-4CF1-9559-91AD4DB43D8DQ38512940-850CD27E-C113-4C0D-95CB-E8F23731F8EDQ40290263-AFF68176-9807-488D-B66D-3B54F85BF1CB
P2860
Estimating treatment effect via simple cross design synthesis.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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2011年学术文章
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2011年学术文章
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2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
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2011年學術文章
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2011年學術文章
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name
Estimating treatment effect via simple cross design synthesis.
@en
Estimating treatment effect via simple cross design synthesis.
@nl
type
label
Estimating treatment effect via simple cross design synthesis.
@en
Estimating treatment effect via simple cross design synthesis.
@nl
prefLabel
Estimating treatment effect via simple cross design synthesis.
@en
Estimating treatment effect via simple cross design synthesis.
@nl
P2860
P356
P1476
Estimating treatment effect via simple cross design synthesis.
@en
P2093
Eloise E Kaizar
P2860
P304
P356
10.1002/SIM.4339
P407
P577
2011-09-04T00:00:00Z