A structural approach to selection bias

被引:1982
作者
Hernán, MA
Hernández-Díaz, S
Robins, JM
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[2] Boston Univ, Sloan Epidemiol Ctr, Sch Publ Hlth, Brookline, MA 02146 USA
关键词
D O I
10.1097/01.ede.0000135174.63482.43
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The term "selection bias" encompasses various biases in epidemiology. We describe examples of selection bias in case-control studies (eg, inappropriate selection of controls) and cohort studies (eg, informative censoring). We argue that the causal structure underlying the bias in each example is essentially the same: conditioning on a common effect of 2 variables, one of which is either exposure or a cause of exposure and the other is either the outcome or a cause of the outcome. This structure is shared by other biases (eg, adjustment for variables affected by prior exposure). A structural classification of bias distinguishes between biases resulting from conditioning on common effects ("selection bias") and those resulting from the existence of common causes of exposure and outcome ("confounding"). This classification also leads to a unified approach to adjust for selection bias.
引用
收藏
页码:615 / 625
页数:11
相关论文
共 25 条
[1]   LIMITATIONS OF THE APPLICATION OF FOURFOLD TABLE ANALYSIS TO HOSPITAL DATA [J].
BERKSON, J .
BIOMETRICS BULLETIN, 1946, 2 (03) :47-53
[2]   Fallibility in estimating direct effects [J].
Cole, SR ;
Hernán, MA .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2002, 31 (01) :163-165
[3]  
Glymour C., 1993, LECT NOTES STAT, V1, DOI 10.1007/978-1-4612-2748-9
[4]  
Gordis L., 1996, Epidemiology
[5]  
Greenland S, 2002, SUMMARY MEASURES OF POPULATION HEALTH: CONCEPTS, ETHICS, MEASUREMENT AND APPLICATIONS, P291
[6]   Quantifying biases in causal models:: Classical confounding vs collider-stratification bias [J].
Greenland, S .
EPIDEMIOLOGY, 2003, 14 (03) :300-306
[7]   Causal diagrams for epidemiologic research [J].
Greenland, S ;
Pearl, J ;
Robins, JM .
EPIDEMIOLOGY, 1999, 10 (01) :37-48
[8]   An overview of relations among causal modelling methods [J].
Greenland, S ;
Brumback, B .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2002, 31 (05) :1030-1037
[9]  
Greenland S, 1996, EPIDEMIOLOGY, V7, P498, DOI 10.1097/00001648-199609000-00007
[10]   AN ANALYSIS OF DETECTION BIAS AND PROPOSED CORRECTIONS IN THE STUDY OF ESTROGENS AND ENDOMETRIAL CANCER [J].
GREENLAND, S ;
NEUTRA, R .
JOURNAL OF CHRONIC DISEASES, 1981, 34 (9-10) :433-438