Estimating the prevalence of chronic kidney disease while accounting for nonrandom testing with inverse probability weighting

HIGHLIGHTS

  • who: Faizan Mazhar from the DepartmentLeiden University have published the research work: Estimating the prevalence of chronic kidney disease while accounting for nonrandom testing with inverse probability weighting, in the Journal: (JOURNAL) of 10/Dec/2022
  • what: In Supplementary Table S12, the authors provide the examples of subpopulations over- or under-represented if selected by the presence of albuminuria or creatinine, and the effect of weighting in their CKD prevalence estimates (Supplementary Appendix S2). There were important differences in the characteristics of participants with/without repeated laboratory testing By evaluating the complete population of Stockholm . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?