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Using marginal structural models to adjust for treatment drop‐in when developing clinical prediction models

Clinical prediction models (CPMs) can inform decision making about treatment initiation, which requires predicted risks assuming no treatment is given. However, this is challenging since CPMs are usually derived using data sets where patients received treatment, often initiated postbaseline as “trea...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Stat Med
मुख्य लेखकों: Sperrin, Matthew, Martin, Glen P., Pate, Alexander, Van Staa, Tjeerd, Peek, Niels, Buchan, Iain
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: John Wiley and Sons Inc. 2018
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC6282523/
https://ncbi.nlm.nih.gov/pubmed/30073700
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7913
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