title: On informative detection bias in screening studies.
abstract: The problem of estimating the effect of hormone replacement therapy (HRT) on breast cancer has attracted much attention in the causal inference literature. It is known that the HRT effect on diagnosis (observed) is potentially larger than the effect on true cancer status (of interest), and that the standard approach (stratification) to deal with this detection bias is not valid when screening pattern and cancer status share common causes. We propose a sensitivity analysis to deal with detection bias, and demonstrate that the earlier proposed approach of data restriction is not valid.
authors.affiliation: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. arvid.sjolander@meb.ki.se
authors.forename: Arvid
authors.initials: A
authors.lastname: Sjölander
authors.forename: Keith
authors.initials: K
authors.lastname: Humphreys
authors.forename: Juni
authors.initials: J
authors.lastname: Palmgren
mesh_terms: D000328:Adult; D015982:Bias; D001943:Breast Neoplasms / Q000139:chemically induced / Q000175:diagnosis; D005260:Female; D020249:Hormone Replacement Therapy; D006801:Humans; D008403:Mass Screening / Q000706:statistics & numerical data*; D008875:Middle Aged; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires