Ranstam Review DataBase (RR.db)

References in category "adjustment"

  1. Bandoli G, Palmsten K, Chambers CD, Jelliffe-Pawlowski LL, Baera RJ, Thompson CA. Revisiting the Table 2 Fallacy: A Motivating Example Examining Preeclampsia and Preterm Birth. Paediatr Perinat Epidemiol 2018;32:390–397. [PubMed] [Google]

  2. Cole SR, Platt RW, Schisterman EF, Haitao C, Westreich D, Richardson D, Poole C. Illustrating bias due to conditioning on a collider. Int J Epidemiol 2010;39:417-420. [PubMed] [Google]

  3. Freemantle Nick, Marston Louise, Walters Kate, Wood John, Reynolds Matthew R, Petersen Irene et al. Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research BMJ 2013;347:f6409. [PubMed] [Google]

  4. Greenland S. Quantifying biases in causal models: classical confounding vs collider-stratification bias. Epidemiology 2003; 14:300–306. [PubMed] [Google]

  5. Hanley JA, Foster BJ. Avoiding blunders involving ‘immortal time’. Int J Epidemiol 2014;43:949-961. [PubMed] [Google]

  6. Joseph KS, Mehrabadi A, Lisonkova S. Confounding by Indication and Related Concepts. Current Epidemiology Reports 2014;1:1-8. [PubMed] [Google]

  7. Kahan BC, Morris TP. Reporting and analysis of trials using stratified randomisation in leading medical journals: review and reanalysis. BMJ 2012;345:e5840. [PubMed] [Google]

  8. Lee P. Should we adjust for a confounder if empirical and theoretical criteria yield contradictory results? A simulation study. Sci Rep 2014;4:6085. [PubMed] [Google]

  9. Pearl J. Remarks on the method of propensity score. Stat Med 2009;28:1415–1424. [PubMed] [Google]

  10. Schisterman EF, Cole SR, Platt RW. Overadjustment bias and unnecessary adjustment in epidemiological studies. Epidemiol 2009;20:488-495. [PubMed] [Google]

  11. Shrier I, Platt RW. Reducing bias through directed acyclic graphs. BMC Med Res Methodol 2008;8:70. [PubMed] [Google]

  12. Sjölander A, Greenland S. Ignoring the matching variables in cohort studies – when is it valid and why? Stat Med 2013;32:4696-4708. [PubMed] [Google]

  13. Tangri N, Kitsios GD, Su SH, Kent DM. Accounting for center effects in multicenter trials. Epidemiology 2010;21:912-913. [PubMed] [Google]

  14. Tu Y-K, Gunnell D, Gilthorpe MS. Simpson’s Paradox, Lord’s Paradox, and Suppression Effects are the same phenomenon – the reversal paradox. Emerging Themes in Epidemiology 2008, 5:2. [PubMed] [Google]

  15. Valle D, Tucker Lima JM, Millar J, Amratia P, Haque U. Bias in logistic regression due to imperfect diagnostic test results and practical correction approaches. Malaria Journal 2015;14:434 [PubMed] [Google]

  16. Vittinghoff E, McCulloch CE. Relaxing the rule of ten events per variable in logistic and Cox regression. Am J Epidemiol 2007;165:710-718. [PubMed] [Google]

  17. Westreich D, Greenland S. The table 2 fallacy: presenting and interpreting confounder and modifier coefficients. Am J Epidemiol 2013;177:292-298. [PubMed] [Google]