Covariate Adjustment And Estimation Of Mean Response In Randomised Controlled Trials – International Biometrics Conference.pdf

CS.53_2018_07_13_Bartlett.pdf
Preview of Covariate adjustment and estimation of mean response in randomised controlled trials – International Biometrics Conference
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📊 Size: 248 KB
👤 Author: Jonathan Bartlett ` `%%%`#`&12_`__~~~ alse
⬇️ Downloads: 100

Summary

Covariate adjustment and estimation of mean outcome in randomized trials: A randomized trial samples patients, randomizes them to control or active treatment, and measures outcome Y and baseline covariates X. The primary analysis typically adjusts for X to improve statistical power by fitting a regression model for Y with X and treatment as covariates. The crude mean outcome in each treatment group is also reported, estimated as ˆµ1(z) = ∑[1(Zi = z)Yi] / ∑[1(Zi = z)], which unbiasedly estimates E(Y |Z = z) = E(Y z) := µ(z), the average outcome if the population were all assigned to receive treatment z.

Description

Covariate adjustment and estimation of mean outcome in randomized trials: A randomized trial samples patients, randomizes them to control or active treatment,...

Technical Information

  • File Format: PDF
  • File Size: 248 KB
  • Pages: 25
  • Language: EN
  • Author: Jonathan Bartlett ` `%%%`#`&12_`__~~~ alse
  • Total Downloads: 100
  • Last Updated: 2 days ago

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