The value of risk-factor ("black-box") epidemiology: Author's response

Epidemiology

Volumn 15, Issue 5, 2004, Pages 527-528

  Greenland, Sander ^a   Gago Dominguez, Manuela ^b   Castelao, Jose Esteban ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; EPIDEMIOLOGICAL DATA; EVIDENCE BASED MEDICINE; INFORMATION PROCESSING; NOTE; PRIORITY JOURNAL; PUBLICATION; RISK FACTOR; SOCIAL ASPECT; STATISTICAL ANALYSIS; THEORY; WRITING;

EID: 15744391684     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.ede.0000136364.97719.ba     Document Type: Note

References (18)

1. Weiss NS. Presents can come in black boxes, too [commentary]. Epidemiology. 2004;15:525-526.
2. Susser E. Eco-epidemiology: thinking outside the black box [commentary]. Epidemiology. 2004;15:519-520.
3. rd ed. New York: Verso; 1993.
4. Greenland S, Sheppard AR, Kaune WT, Poole C, Kelsh MA. A pooled analysis of magnetic fields, wire codes, and childhood leukemia. Epidemiology. 2000;11:624-663.
5. Haack S. An epistomologist among the epidemiologists [commentary]. Epidemiology 2004;15:521-522.
6. Mayo DG, Spanos A. When can risk-factor epidemiology provide reliable tests? [commentary] Epidemiology. 2004;15:523-524.
7. Greenland S. Science versus advocacy: The challenge of Dr. Feinstein. Epidemiology. 1991;2:72-79.
8. Greenland S. The need for critical appraisal of expert witnesses in epidemiology and statistics. Wake Forest Law Rev. 2004;39;291-310.
9. Greenland S. The relation of the probability of causation to the relative risk and the doubling dose: A methodologic error that has become a social problem. Am J Public Health. 1999;89:1166-1169.
10. Greenland S. Multiple-bias modeling for observational studies (with discussion). J Royal Stat Soc, ser A, 2005 (in press).
11. Greenland S. Randomization, statistics, and causal inference. Epidemiology. 1990;1:421-429.
12. Greenland S. Interval estimation by simulation as an alternative to and extension of confidence intervals. Int J Epidemiol 2005;34:In press.
13. Greenland S. Summarization, smoothing, and inference. Scand J Soc Med. 1993;21:227-232.
14. Greenland S. An overview of methods for causal inference from observational studies. Gelman A, Meng XL (eds.). Applied Bayesian modeling and causal inference from an incomplete-data perspective. New York: Wiley, 2004, in press.
15. Greenland S. Probability logic and probabilistic induction. Epidemiology. 1998;10:322-332.
16. Breiman L. Statistical modeling: the two cultures. Stat Sci. 2001;16:199-231.
17. Lash TL, Fink AK. Semi-automated sensitivity analysis to assess systematic errors in observational epidemiologic data. Epidemiology. 2003;14:451-458.
18. Phillips CV. Quantifying and reporting uncertainty from systematic errors. Epidemiology. 2003;14:459-466.