Invited commentary: how far can epidemiologists get with statistical adjustment?
Petitti
Diana B
DB
Kaiser Permanente Southern California, Pasadena, CA 91188, USA. diana.b.petitti@kp.org
Freedman
David A
DA
D000368:Aged; D015982:Bias; D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000517:prevention & control; D015986:Confounding Factors, Epidemiologic; D003627:Data Interpretation, Statistical; D015914:Estrogen Replacement Therapy; D004966:Estrogens, Conjugated (USP) / Q000008:administration & dosage; D005260:Female; D006801:Humans; D015994:Incidence; D017258:Medroxyprogesterone Acetate / Q000008:administration & dosage; D008875:Middle Aged; D016032:Randomized Controlled Trials as Topic; D012107:Research Design; D018570:Risk Assessment; D012307:Risk Factors; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology
D004966:Estrogens, Conjugated (USP); D017258:Medroxyprogesterone Acetate