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

Affiliations

• ¹ Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Electronic address: faizan.mazhar@ki.se.
• ² Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
• ³ Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
• ⁴ Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institute, Huddinge, Sweden.
• ⁵ Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA.
• ⁶ Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
• ⁷ Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Division of Nephrology, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden.