1. |
Hennekens CH, Buring JE. Epidemiology in Medicine. Philadelphia: Lippincott Williams & Wilkins; 1987.
|
2. |
Bailey L, Vardulaki K, Langham J, et al. Introduction to Epidemiology. Berkshire: Open University Press; 2005.
|
3. |
Kestenbaum B. Methods to control for confounding. In: Epidemiology and Biostatistics. An introduction to clinical research. New York: Springer; 2009.
|
4. |
Wunsch G. Confounding and control. Demographic Res 2007; 16:97-120.
|
5. |
Petrie A, Sabin C. Bias and confounding. Medical statistics at a glance. 3rd ed. Oxford: Wiley-Blackwell; 2009.
|
6. |
Szumilas M. Explaining Odds Ratios. J Can Acad Child Adolesc Psychiatry 2010; 19:227-9.
|
7. |
Choi SY, Cho YS, Lee NJ, et al. Factors associated with quality of life after ear surgery in patients with chronic otitis media. Arch Otolaryngol Head Neck Surg 2012; 138:840-5.
|
8. |
Avetisyan N, Lautermann J. Ear diseases and diabetes mellitus. J HNO 2014; 62:823-32.
|
9. |
Orji FT, Dike BO, Oji O. Determinants of non-healing ear discharge in chronic suppurative otitis media in a developing country. Eur Arch Otorhinolaryngol 2014; [Epub ahead of print].
|
10 |
Schisterman EF, Cole SR, Plattc RW. Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology 2009; 20:488-95
|
11 |
Weinberg CR. Can DAGs clarify effect modification? Epidemiology 2007; 18:569-72.
|
12 |
Vanderweele TJ, Robins JM. Directed Acyclic Graphs, sufficient causes, and the properties of conditioning on a common effect. Am J Epid 2007; 166:1096-104.
|
13 |
Nowak K, Banaszewski J, Dabrowski P, et al. Tinnitus in systemic diseases. Otolaryngol Pol 2002; 56:213-6.
|
14 |
Horwitz RI, McFarlane MJ, Brennan TA, et al. The role of susceptibility bias in epidemiologic research. Arch Intern Med 1985; 145:909-12.
|
15 |
Kramer MS. Clinical epidemiology and biostatistics. New York: Springer; 1988. p. 54-6.
|
16 |
Greenland S, Morgenstern H. Confounding in health research. Ann Rev Public Health 2001; 22:189-212.
|
17 |
Lobo FS, Wagner S, Gross CR, et al. Addressing the issue of handling bias in observational studies with propensity scores analysis. Res Social Adm Pharm 2006; 2:143-51.
|
18 |
Jager KJ, Zoccali C, Macleod A, et al. Confounding: What it is and how to deal with it. Kidney Int 2008; 73:256-60.
|
19 |
Rothman JJ. Modern epidemiology. 6th ed. Boston: Little Brown and Company; 1986. p. 84-94.
|
20 |
Jaeschke R, Sackett DL. Research methods for obtaining primary evidence. Int J Technol Assess Health Care 1989; 5:503-19.
|
21 |
Bland JM, Altman DG. Statistics notes: Matching. BMJ 1994; 309:1128.
|
22 |
Bland JM, Altman DG. Matching in case-control studies. BMJ 1995; 310:329-30.
|
23 |
Marsh JL, Hutton JL, Binks K. Removal of radiation dose response effects: An example of over-matching. BMJ 2002; 325:327-30.
|
24 |
Hajian-Tilaki KO. Evaluation of the rule of matching in case-control and cohort studies. Proceeding of the 6th International Statistics Conference. Tehran: Tarbiat Modarres University; 2002. p. 32.
|
25 |
Oesterling JE, Cooner WH, Jaconsen SJ, et al. Influence of patient age on serum PSA concentration. An important clinical observation. Urol Clin North Am 1993; 20:671-80.
|
26 |
Brookhart MA, Sturmer T, Glynn RJ, et al. Confounding control in healthcare database research: Challenges and potential approaches. Med Care 2010; 48:114-20.
|
27 |
Gordis L. More on causal inferences: Bias, confounding and interaction. 4th ed. Philadelphia: Saunders Elsevier; 2009. p. 247-65.
|
28 |
van Stralen KJ, Dekker FW, Zoccali C. Confounding. Nephron Clin Pract 2010; 116:c143-7.
|
29 |
Farrokhyar F, Bajammal S, Kahnamoui K, et al. Practical tips for surgical research. Ensuring balanced groups in surgical trials. Can J Surg 2010a; 53:418-23.
|
30 |
Farrokhyar F, Karanicolas PJ, Thoma A, et al. Randomized controlled trials of surgical interventions. Ann Surg 2010b; 251:409-16.
|
31 |
Egger M, Schneider M, Davey SG. Spurious precision? Meta-analysis of observational studies. BMJ 1998; 316:140-4.
|
32 |
Tripepi G, Jager KJ, Dekker FW. Stratification for confounding—part 1: The Mantel-Haenszel formula. Nephron Clin Pract 2010; 116:c317-21.
|
33 |
Fisher L, Patil K. Matching and unrelatedness. Am J Epidemol 1974; 100:347.
|
34 |
Simpson EH. The interpretation of interaction in contingency tables. J R Stat Soc Series 1951; B13:238-41.
|
35 |
Wagner CH. Simpson's paradox in real life. Am Stat 1982; 36:46-8.
|
36 |
Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology 1999; 10:37-48.
|
37 |
Keppel G. Design and analysis: A researcher's handbook. 3rd ed. Englewood Cliffs: Prentice-Hall Inc.; 1991.
|
38 |
Howell DC. Statistical methods for psychology. 7th ed. Belmont: Cengage Wadsworth; 2009.
|
39 |
McNamee R. Regression modelling and other methods to control confounding. Occup Environ Med 2005; 62:500-6.
|
40 |
Tabachnick BG, Fidell LS. Using multivariate statistics. 5th ed. Boston: Allyn and Bacon; 2007.
|
41 |
Kutner MH, Nachtsheim CJ, Neter J, et al. Applied Linear Statistical Models.5th ed. New York: McGraw-Hill/Irwin; 2005.
|
42 |
Tripepi G, Jager KJ, Dekker FW. Linear and logistic regression analysis. Kidney Int 2008; 73:806-10.
|
43 |
Blackstone EH. Comparing apples and oranges. J Thorac Cardiovasc Surg 2002; 123:8-15.
|
44 |
Morshed S, Tornetta P Ⅲ, Bhandari M. Analysis of observational studies: A guide to understanding statistical methods. J Bone Joint Surg Am 2009; 91:50-60.
|
45 |
Good PI, Hardin JW. Common Errors in Statistics (And How to Avoid Them). 3rd ed. New Jersey: Wiley; 2009.
|
46 |
Peduzzi P, Concato J, Kemper E. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 1996; 49:1373-9.
|