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Items: 1 to 20 of 86

1.

The scandal of poor epidemiological research.

von Elm E, Egger M.

BMJ. 2004 Oct 16;329(7471):868-9. No abstract available.

2.

Poor quality of reporting confounding bias in observational intervention studies: a systematic review.

Groenwold RH, Van Deursen AM, Hoes AW, Hak E.

Ann Epidemiol. 2008 Oct;18(10):746-51. doi: 10.1016/j.annepidem.2008.05.007. Review.

PMID:
18693038
3.

Challenges and opportunities for pharmacoepidemiology in drug-therapy decision making.

Etminan M, Gill S, Fitzgerald M, Samii A.

J Clin Pharmacol. 2006 Jan;46(1):6-9.

PMID:
16397278
4.

[Smoking as potential confounder in german epidemiological studies: standardization of assessment, quantification, and analysis].

Latza U, Hoffmann W, Terschüren C, Chang-Claude J, Kreuzer M, Schaffrath Rosario A, Kropp S, Stang A, Ahrens W, Lampert T, Straif K; German Society of Epidemiology.; German Society of Social Medicine and Prevention.; German Society of Medical Informatics, Biometry and Epidemiology..

Gesundheitswesen. 2005 Nov;67(11):795-802. German.

PMID:
16308812
5.

Resolved: biologically based models are useful for analyzing radiation epidemiological data. Con.

Crump KS.

Radiat Res. 2000 Dec;154(6):717. No abstract available.

PMID:
11187004
7.

Invited commentary: "race," racism, and the practice of epidemiology.

Jones CP.

Am J Epidemiol. 2001 Aug 15;154(4):299-304; discussion 305-6. No abstract available.

8.

[Interpretation of epidemiologic studies. Type of study, elements of bias, causality].

Touzet S, Colin C.

Rev Prat. 1999 Oct 15;49(16):1797-804. French. No abstract available.

PMID:
10578612
9.

Transportability and causal generalization.

Schwartz S, Gatto NM, Campbell UB.

Epidemiology. 2011 Sep;22(5):745-6. doi: 10.1097/EDE.0b013e3182254b8f. No abstract available.

PMID:
21811113
10.

Instant karma.

Morabia A, Costanza MC.

Prev Med. 2007 Nov;45(5):321-2. No abstract available.

PMID:
17983884
11.
12.

The problems with some epidemiological studies.

Farmer R.

Maturitas. 2007 May 20;57(1):11-5. Review.

PMID:
17399923
13.
14.

Intuitions, simulations, theorems: the role and limits of methodology.

Greenland S.

Epidemiology. 2012 May;23(3):440-2. doi: 10.1097/EDE.0b013e31824e278d. No abstract available.

PMID:
22475828
15.

Re: Should meta-analyses of interventions include observational studies in addition to randomized controlled trials? A critical examination of underlying principles.

Pereira C, Castilho E.

Am J Epidemiol. 2009 Mar 15;169(6):783; author reply 783-4. doi: 10.1093/aje/kwp016. No abstract available.

16.

Venial and mortal sins: the problems of confounding and bias.

Mangano CM.

J Cardiothorac Vasc Anesth. 2002 Apr;16(2):137-8. No abstract available.

PMID:
11957159
17.

Confounding and Bias in Epidemiological Research: "Dirty Hands but a Clean Mind".

Wilkie M.

Perit Dial Int. 2015 Dec;35(7):675-6. doi: 10.3747/pdi.2015.00273. No abstract available.

PMID:
26703841
18.

What size sample do I need?

Williams G.

Aust N Z J Public Health. 1999 Apr;23(2):215-7. No abstract available.

PMID:
10330744
19.

Response to invited commentary. Rose et al. respond to "G-computation and standardization in epidemiology".

Rose S, Snowden JM, Mortimer KM.

Am J Epidemiol. 2011 Apr 1;173(7):743-4. doi: 10.1093/aje/kwq475. No abstract available.

20.

Commentary: dealing with measurement error: multiple imputation or regression calibration?

White IR.

Int J Epidemiol. 2006 Aug;35(4):1081-2. No abstract available.

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