Brief report: Negative controls to detect selection bias and measurement bias in epidemiologic studies

Epidemiology

Volumn 27, Issue 5, 2016, Pages 637-641

  Arnold, Benjamin F ^a   Ercumen, Ayse ^a   Benjamin Chung, Jade ^a   Colford, John M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROL; FOLLOW UP; GENETIC EPIDEMIOLOGY; HUMAN; MEASUREMENT BIAS; MEASUREMENT ERROR; NEGATIVE CONTROL; OBSERVATIONAL STUDY; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROTOCOL COMPLIANCE; RANDOMIZED CONTROLLED TRIAL (TOPIC); SELECTION BIAS; SELF REPORT; STATISTICAL BIAS; CONTROL GROUP; EPIDEMIOLOGY; METHODOLOGY;

BIAS; CONTROL GROUPS; EPIDEMIOLOGIC STUDIES; HUMANS; OBSERVATIONAL STUDIES AS TOPIC; RESEARCH DESIGN; SELECTION BIAS;

EID: 84967006951     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000504     Document Type: Article

References (20)

1. Lipsitch M, Tchetgen Tchetgen E, Cohen T. Negative controls: a tool for detecting confounding and bias in observational studies. Epidemiology. 2010; 21: 383-388
2. Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004; 15: 615-625
3. Hernán MA, Cole SR. Invited commentary: causal diagrams and measurement bias. Am J Epidemiol. 2009; 170: 959-962; discussion 963
4. Tchetgen Tchetgen EJ. A general regression framework for a secondary outcome in case-control studies. Biostatistics. 2014; 15: 117-128
5. Jiang Y, Scott AJ, Wild CJ. Secondary analysis of case-control data. Stat Med. 2006; 25: 1323-1339
6. Hernán MA, Hernández-Díaz S. Beyond the intention-To-Treat in comparative effectiveness research. Clin Trials. 2012; 9: 48-55
7. Wood L, Egger M, Gluud LL, et al. Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study. BMJ. 2008; 336: 601-605
8. Ruckart PZ, Bove FJ, Maslia M. Evaluation of exposure to contaminated drinking water and specific birth defects and childhood cancers at Marine Corps Base Camp Lejeune, North Carolina: a case-control study. Environ Health. 2013; 12: 104
9. Ivers LC, Hilaire IJ, Teng JE, et al. Effectiveness of reactive oral cholera vaccination in rural Haiti: a case-control study and bias-indicator analysis. Lancet Glob Health. 2015; 3: e162-e168
10. De Groot MC, Klungel OH, Leufkens HG, Van Dijk L, Grobbee DE, Van de Garde EM. Sources of heterogeneity in case-control studies on associations between statins, ACE-inhibitors, and proton pump inhibitors and risk of pneumonia. Eur J Epidemiol. 2014; 29: 767-775
11. Danaei G, García Rodríguez LA, Fernandez Cantero O, Hernán MA. Statins and risk of diabetes: an analysis of electronic medical records to evaluate possible bias due to differential survival. Diabetes Care. 2013; 36: 1236-1240
12. Ercumen A, Naser AM, Unicomb L, Arnold BF, Colford JM, Jr, Luby SP. Effects of source- versus household contamination of tubewell water on child diarrhea in rural Bangladesh: a randomized controlled trial. PLoS One. 2015; 10: e0121907
13. Colford JM Jr, Schiff KC, Griffith JF, et al. Using rapid indicators for Enterococcus to assess the risk of illness after exposure to urban runoff contaminated marine water. Water Res. 2012; 46: 2176-2186
14. Zaadstra BM, Chorus AM, Van Buuren S, Kalsbeek H, Van Noort JM. Selective association of multiple sclerosis with infectious mononucleosis. Mult Scler. 2008; 14: 307-313
15. Khush RS, Arnold BF, Srikanth P, et al. H2S as an indicator of water supply vulnerability and health risk in low-resource settings: a prospective cohort study. Am J Trop Med Hyg. 2013; 89: 251-259
16. Brookhart MA, Patrick AR, Dormuth C, et al. Adherence to lipid-lowering therapy and the use of preventive health services: an investigation of the healthy user effect. Am J Epidemiol. 2007; 166: 348-354
17. Tchetgen Tchetgen E. The control outcome calibration approach for causal inference with unobserved confounding. Am J Epidemiol. 2014; 179: 633-640
18. Richardson DB, Keil AP, Tchetgen Tchetgen E, Cooper G. Negative control outcomes and the analysis of standardized mortality ratios. Epidemiology. 2015; 26: 727-732
19. Schuemie MJ, Ryan PB, DuMouchel W, Suchard MA, Madigan D. Interpreting observational studies: why empirical calibration is needed to correct p-values. Stat Med. 2014; 33: 209-218
20. Prasad V, Jena AB. Prespecified falsification end points: can they validate true observational associations?. JAMA. 2013; 309: 241-242