Evaluation of Selection Bias in an Internet-based Study of Pregnancy Planners

Epidemiology

Volumn 27, Issue 1, 2016, Pages 98-104

  Hatch, Elizabeth E ^a   Hahn, Kristen A ^a   Wise, Lauren A ^a   Mikkelsen, Ellen M ^b   Kumar, Ramya ^a   Fox, Matthew P ^a   Brooks, Daniel R ^a   Riis, Anders H ^b   Sorensen, Henrik Toft ^b   Rothman, Kenneth J ^a,c  

^a BOSTON UNIVERSITY   (United States)

^b AARHUS UNIVERSITY HOSPITAL   (Denmark)

^c RTI HEALTH SOLUTIONS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BIRTH WEIGHT; CESAREAN SECTION; COHORT ANALYSIS; CONFIDENCE INTERVAL; EVALUATION STUDY; FEMALE; HUMAN; INTERNET; LIVE BIRTH; LOW BIRTH WEIGHT; MACROSOMIA; MAJOR CLINICAL STUDY; MATERNAL AGE; MATERNAL OBESITY; MATERNAL SMOKING; NULLIPARA; OBESITY; PLANNING; PREECLAMPSIA; PREGNANCY; PREVALENCE; PRIORITY JOURNAL; PROSPECTIVE STUDY; RISK ASSESSMENT; SELECTION BIAS; SMOKING CESSATION; ADOLESCENT; DENMARK; FOLLOW UP; NEWBORN; PATIENT SELECTION; PREGNANCY COMPLICATIONS; REGISTER; REPRODUCIBILITY; RISK FACTOR; STATISTICAL MODEL; YOUNG ADULT;

ADOLESCENT; ADULT; DENMARK; FEMALE; FOLLOW-UP STUDIES; HUMANS; INFANT, NEWBORN; INTERNET; LINEAR MODELS; PATIENT SELECTION; PREGNANCY; PREGNANCY COMPLICATIONS; PROSPECTIVE STUDIES; REGISTRIES; REPRODUCIBILITY OF RESULTS; RISK FACTORS; SELECTION BIAS; YOUNG ADULT;

EID: 84949624624     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000400     Document Type: Article

References (48)

1. Rothman KJ, Greenland S, Lash TL, Rothman KJ, Greenland S, Lash TL, Validity in epidemiologic studies. Modern Epidemiology 2008 3rd ed Philadelphia, PA Lippincott Williams and Wilkins. In
2. Greenland S, Response and follow-up bias in cohort studies. Am J Epidemiol 1977 106 184 187
3. Rothman KJ, Gallacher JE, Hatch EE, Why representativeness should be avoided. Int J Epidemiol 2013 42 1012 1014
4. Olsen J, Random sampling: is it worth it? Paediatr Perinat Epidemiol 2013 27 27 28
5. Nohr EA, Olsen J, Commentary: epidemiologists have debated representativeness for more than 40 years-has the time come to move on? Int J Epidemiol 2013 42 1016 1017
6. Keiding N, Slama R, Commentary: time-to-pregnancy in the real world. Epidemiology 2015 26 119 121
7. Ebrahim S, Davey Smith G, Commentary: should we always deliberately be non-representative? Int J Epidemiol 2013 42 1022 1026
8. Hernan MA, Hernández-Díaz S, Robins JM, A structural approach to selection bias. Epidemiology 2004 15 615 625
9. Dahabreh IJ, Kent DM, Index event bias as an explanation for the paradoxes of recurrence risk research. JAMA 2011 305 822 823
10. Barton J, Bain C, Hennekens CH, Characteristics of respondents and non-respondents to a mailed questionnaire. Am J Public Health 1980 70 823 825
11. Greene N, Greenland S, Olsen J, Nohr EA, Estimating bias from loss to follow-up in the Danish National Birth Cohort. Epidemiology 2011 22 815 822
12. Montgomery MP, Kamel F, Hoppin JA, Beane Freeman LE, Alavanja MC, Sandler DP, Effects of self-reported health conditions and pesticide exposures on probability of follow-up in a prospective cohort study. Am J Ind Med 2010 53 486 496
13. Bornehag CG, Moniruzzaman S, Larsson M, The SELMA study: a birth cohort study in Sweden following more than 2000 mother-child pairs. Paediatr Perinat Epidemiol 2012 26 456 467
14. Lund E, Kumle M, Braaten T, External validity in a population-based national prospective study-the Norwegian Women and Cancer Study (NOWAC). Cancer Causes Control 2003 14 1001 1008
15. Nilsen RM, Vollset SE, Gjessing HK, Self-selection and bias in a large prospective pregnancy cohort in Norway. Paediatr Perinat Epidemiol 2009 23 597 608
16. Nohr EA, Frydenberg M, Henriksen TB, Olsen J, Does low participation in cohort studies induce bias? Epidemiology 2006 17 413 418
17. Nilsen RM, Surén P, Gunnes N, Analysis of self-selection bias in a population-based cohort study of autism spectrum disorders. Paediatr Perinat Epidemiol 2013 27 553 563
18. Hatch EE, Kleinerman RA, Linet MS, Do confounding or selection factors of residential wiring codes and magnetic fields distort findings of electromagnetic fields studies? Epidemiology 2000 11 189 198
19. Vrijheid M, Richardson L, Armstrong BK, Quantifying the impact of selection bias caused by nonparticipation in a case-control study of mobile phone use. Ann Epidemiol 2009 19 33 41
20. Lash TL, Fox MP, Fink AK, Applying Quantitative Bias Analysis to Epidemiologic Data 2009 New York Springer
21. Cole SR, Hernán MA, Constructing inverse probability weights for marginal structural models. Am J Epidemiol 2008 168 656 664
22. Hernán MA, Brumback B, Robins JM, Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology 2000 11 561 570
23. Fine JP, Gray RJ, A proportional hazards model for subdistribution of competing risk. J Royal Stat Soc 1999 94 496 509
24. Magnus P, Irgens LM, Haug K, Nystad W, Skjaerven R, Stoltenberg C, MoBa Study Group Cohort profile: the Norwegian Mother and Child Cohort Study (MoBa). Int J Epidemiol 2006 35 1146 1150
25. Olsen J, Melbye M, Olsen SF, The Danish National Birth Cohort-its background, structure and aim. Scand J Public Health 2001 29 300 307
26. Kesse-Guyot E, Andreeva V, Castetbon K, Participant profiles according to recruitment source in a large Web-based prospective study: experience from the Nutrinet-Santé study. J Med Internet Res 2013 15 e205
27. Richiardi L, Baussano I, Vizzini L, Douwes J, Pearce N, Merletti F, NINFEA cohort Feasibility of recruiting a birth cohort through the internet: the experience of the NINFEA cohort. Eur J Epidemiol 2007 22 831 837
28. Mikkelsen EM, Hatch EE, Wise LA, Rothman KJ, Riis A, Sørensen HT, Cohort profile: the Danish web-based pregnancy planning study-'Snart-Gravid'. Int J Epidemiol 2009 38 938 943
29. Bälter KA, Bälter O, Fondell E, Lagerros YT, Web-based and mailed questionnaires: a comparison of response rates and compliance. Epidemiology 2005 16 577 579
30. Huybrechts KF, Mikkelsen EM, Christensen T, A successful implementation of e-epidemiology: the Danish pregnancy planning study 'Snart-Gravid'. Eur J Epidemiol 2010 25 297 304
31. Long MD, Kappelman MD, Martin CF, Development of an internet-based cohort of patients with inflammatory bowel diseases (CCFA partners): methodology and initial results. Inflamm Bowel Dis 2012 18 2099 2106
32. Turner C, Bain C, Schluter PJ, Nurses and Midwives e-cohort Group Cohort profile: The Nurses and Midwives e-Cohort Study-a novel electronic longitudinal study. Int J Epidemiol 2009 38 53 60
33. Pizzi C, De Stavola BL, Pearce N, Selection bias and patterns of confounding in cohort studies: the case of the NINFEA web-based birth cohort. J Epidemiol Community Health 2012 66 976 981
34. Ekman A, Litton JE, New times, new needs; e-epidemiology. Eur J Epidemiol 2007 22 285 292
35. Rhodes SD, Bowie DA, Hergenrather KC, Collecting behavioural data using the world wide web: considerations for researchers. J Epidemiol Community Health 2003 57 68 73
36. Rothman KJ, Cann CI, Walker AM, Epidemiology and the internet. Epidemiology 1997 8 123 125
37. Rothman KJ, Mikkelsen EM, Riis A, Sørensen HT, Wise LA, Hatch EE, Randomized trial of questionnaire length. Epidemiology 2009 20 154
38. Wise LA, Rothman KJ, Mikkelsen EM, Sørensen HT, Riis A, Hatch EE, An internet-based prospective study of body size and time-to-pregnancy. Hum Reprod 2010 25 253 264
39. Andres RL, Day MC, Perinatal complications associated with maternal tobacco use. Semin Neonatol 2000 5 231 241
40. Norman JE, Reynolds RM, Reynolds R, The consequences of obesity and excess weight gain in pregnancy. Proc Nutr Soc 2011 70 450 456
41. Duckitt K, Harrington D, Risk factors for pre-eclampsia at antenatal booking: systematic review of controlled studies. BMJ 2005 330 565
42. Menacker F, Declercq E, Macdorman MF, Cesarean delivery: background, trends, and epidemiology. Semin Perinatol 2006 30 235 241
43. Backhausen MG, Ekstrand M, Tydén T, Pregnancy planning and lifestyle prior to conception and during early pregnancy among Danish women. Eur J Contracept Reprod Health Care 2014 19 57 65
44. Cole SR, Platt RW, Schisterman EF, Illustrating bias due to conditioning on a collider. Int J Epidemiol 2010 39 417 420
45. Greenland S, Quantifying biases in causal models: classical confounding vs collider-stratification bias. Epidemiology 2003 14 300 306
46. Liu W, Brookhart MA, Schneeweiss S, Mi X, Setoguchi S, Implications of M bias in epidemiologic studies: a simulation study. Am J Epidemiol 2012 176 938 948
47. Whitcomb BW, Schisterman EF, Perkins NJ, Platt RW, Quantification of collider-stratification bias and the birthweight paradox. Paediatr Perinat Epidemiol 2009 23 394 402
48. Jöckel KH, Stang A, Cohort studies with low baseline response may not be generalisable to populations with different exposure distributions. Eur J Epidemiol 2013 28 223 227