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MeSH Review

Bias (Epidemiology)

 
 
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High impact information on Bias (Epidemiology)

 

Biological context of Bias (Epidemiology)

  • RESULTS: The correlation coefficient between CCO and TCO was 0.92, no systematic bias was observed, and the relative error increased from 13.9% for a cardiac output of 21/min to 23.7% for an output of 101/min [6].
 

Associations of Bias (Epidemiology) with chemical compounds

  • However, a Bland-Altman plot showed a systematic bias towards higher values (1.75-fold higher; 95% confidence interval = 1.02-3.01) in the Nichols than in the Cisbio assay following aliskiren administration [7].
  • It is important to realize that this systematic bias is present in dilute solutions of low absorptivity, and the experimentally recorded extinction coefficient for a molecular standard such as caffeine can vary approximately 4% or more, depending upon choice of research instrumentation [8].
  • After recalibrating our serum creatinine values (serum creatinine [mg/dL] = -0.215 + 1.08 * serum creatinine), systematic bias was greatly reduced and better accuracy was achieved: 45.6% of results differed less than 15% from Cr-EDTA, 64.2% differed less than 30%, and 81.4% differed less than 50% [9].
  • There was no significant systematic bias between trials for either maximum accumulated oxygen deficit (man +/- s: trial 1 = 69.0+/-13.1; trial 2 = 71.4+/-12.5; trial 3 = 70.4+/-15.0 ml O2 Eq x kg(-1); ANOVA, F = 0.70, PP= 0.51) or exercise time to exhaustion (trial 1 = 194 + 31.1; trial 2 = 198 + 33.2; trial 3 = 201 + 36.8 s; F= 1.49, P = 0.24) [10].
 

Gene context of Bias (Epidemiology)

  • Bland-Altman analysis showed no evidence of a systematic bias between the TEST 1 and the reference method [11].
  • Repeated ANOVA revealed no systematic bias between the three tests for RPE, and other measures of reliability were also favorable [12].
  • While discrepancies were likely due, in part, to species-specific variations in ER structure and ligand binding affinity, a systematic bias in structural characteristics of chemicals in the hERalpha training set, compared to the rodent evaluation data sets, also contributed to prediction errors [13].
  • In this series, one third of SLE patients could not be HLA-DR typed by serological techniques, highlighting the potential for systematic bias in DR antigen assignment in studies of HLA and SLE [14].
  • The TMS-1 showed a systematic bias, measuring a greater power in the steeper meridian than the Zeiss 10 SL/O keratometer [15].
 

Analytical, diagnostic and therapeutic context of Bias (Epidemiology)

  • Conversely, EPORIA showed significant positive bias and the two remaining methods, EPO EIA and IBL ELISA, showed no evidence of systematic bias when compared with EPO-Trac RIA [16].

References

  1. Chance and consensus in peer review. Cole, S., Cole, J.R., Simon, G.A. Science (1981) [Pubmed]
  2. Antimicrobial therapy for otitis media with effusion ('secretory' otitis media). Cantekin, E.I., McGuire, T.W., Griffith, T.L. JAMA (1991) [Pubmed]
  3. Fluoride and fractures: an ecological fallacy. Rosen, C.J. Lancet (2000) [Pubmed]
  4. Identification of alternate polyadenylation sites and analysis of their tissue distribution using EST data. Beaudoing, E., Gautheret, D. Genome Res. (2001) [Pubmed]
  5. Improvement in glycemic excursions with a transcutaneous, real-time continuous glucose sensor: a randomized controlled trial. Garg, S., Zisser, H., Schwartz, S., Bailey, T., Kaplan, R., Ellis, S., Jovanovic, L. Diabetes Care (2006) [Pubmed]
  6. Analysis of the accuracy of continuous thermodilution cardiac output measurement. Comparison with intermittent thermodilution and Fick cardiac output measurement. Jacquet, L., Hanique, G., Glorieux, D., Matte, P., Goenen, M. Intensive care medicine. (1996) [Pubmed]
  7. Conformational changes in prorenin during renin inhibition in vitro and in vivo. Ménard, J., Guyene, T.T., Peyrard, S., Azizi, M. J. Hypertens. (2006) [Pubmed]
  8. Modeling the effect of analyte and reference bandwidths on signal and noise magnitudes in spectrophotometric assays. Galli, C., Frey, P.J., Harmon, P., Hartman, H., Reed, R.A. Journal of pharmaceutical and biomedical analysis. (2003) [Pubmed]
  9. Validation of the Modification of Diet in Renal Disease formula for estimating GFR with special emphasis on calibration of the serum creatinine assay. Hallan, S., Asberg, A., Lindberg, M., Johnsen, H. Am. J. Kidney Dis. (2004) [Pubmed]
  10. Reproducibility of the maximum accumulated oxygen deficit and run time to exhaustion during short-distance running. Doherty, M., Smith, P.M., Schroder, K. Journal of sports sciences. (2000) [Pubmed]
  11. The TEST 1 automated system: a new method for measuring the erythrocyte sedimentation rate. Plebani, M., De Toni, S., Sanzari, M.C., Bernardi, D., Stockreiter, E. Am. J. Clin. Pathol. (1998) [Pubmed]
  12. Rating of perceived exertion during high-intensity treadmill running. Doherty, M., Smith, P.M., Hughes, M.G., Collins, D. Medicine and science in sports and exercise. (2001) [Pubmed]
  13. A computationally based identification algorithm for estrogen receptor ligands: part 2. Evaluation of a hERalpha binding affinity model. Mekenyan, O.G., Kamenska, V., Schmieder, P.K., Ankley, G.T., Bradbury, S.P. Toxicol. Sci. (2000) [Pubmed]
  14. DNA typing of HLA-DR antigens in systemic lupus erythematosus. Dunckley, H., Gatenby, P.A., Serjeantson, S.W. Immunogenetics (1986) [Pubmed]
  15. Comparison of keratometry and videokeratography after penetrating keratoplasty. Karabatsas, C.H., Cook, S.D., Powell, K., Sparrow, J.M. Journal of refractive surgery (Thorofare, N.J. : 1995) (1998) [Pubmed]
  16. Evaluation of six erythropoietin kits. Marsden, J.T., Sherwood, R.A., Peters, T.J. Ann. Clin. Biochem. (1999) [Pubmed]
 
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