Selection bias due to parity-conditioning in studies of time trends in fertility

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Selection bias due to parity-conditioning in studies of time trends in fertility. / Sallmén, Markku; Bonde, Jens Peter; Lindbohm, Marja-Liisa; Kristensen, Petter.

I: Epidemiology (Cambridge, Mass.), Bind 26, Nr. 1, 01.2015, s. 85-90.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Sallmén, M, Bonde, JP, Lindbohm, M-L & Kristensen, P 2015, 'Selection bias due to parity-conditioning in studies of time trends in fertility', Epidemiology (Cambridge, Mass.), bind 26, nr. 1, s. 85-90. https://doi.org/10.1097/EDE.0000000000000190

APA

Sallmén, M., Bonde, J. P., Lindbohm, M-L., & Kristensen, P. (2015). Selection bias due to parity-conditioning in studies of time trends in fertility. Epidemiology (Cambridge, Mass.), 26(1), 85-90. https://doi.org/10.1097/EDE.0000000000000190

Vancouver

Sallmén M, Bonde JP, Lindbohm M-L, Kristensen P. Selection bias due to parity-conditioning in studies of time trends in fertility. Epidemiology (Cambridge, Mass.). 2015 jan.;26(1):85-90. https://doi.org/10.1097/EDE.0000000000000190

Author

Sallmén, Markku ; Bonde, Jens Peter ; Lindbohm, Marja-Liisa ; Kristensen, Petter. / Selection bias due to parity-conditioning in studies of time trends in fertility. I: Epidemiology (Cambridge, Mass.). 2015 ; Bind 26, Nr. 1. s. 85-90.

Bibtex

@article{6309b35c8f3243eb98cf64f7f7e9d102,
title = "Selection bias due to parity-conditioning in studies of time trends in fertility",
abstract = "BACKGROUND: Studies of couple fertility over time have often examined study populations with broad age ranges at a cross-section of time. An increase in fertility has been observed in studies that followed episodes of fertility events either prospectively among nulliparous women or retrospectively among parous women. Fertility has a biological effect on parity. If defined at a cross-section of time, parity will also be affected by year of birth, and thus becomes a collider. Conditioning (stratifying, restricting, or adjusting) on a collider may cause selection bias in the studied association.METHODS: A study with prospective follow-up was taken as the model to assess the validity of fertility studies. We demonstrate the potential for selection bias using causal graphs and nationwide birth statistics and other demographic data. We tested the existence of parity-conditioning bias in data including both parous and nulliparous women. We also used a simulation approach to assess the strength of the bias in populations with prior at-risk cycles. Finally, we evaluated the potential for selection bias due to conditioning on parity in various sampling frames.RESULTS: Analyses indicate that the observed increase in fertility over time can be entirely explained by selection bias due to parity-conditioning.CONCLUSION: Heterogeneity in fertility and differential success in prior at-risk cycles are the ultimate factors behind the selection bias. The potential for selection bias due to parity-conditioning varies by sampling frame. A prospective multidecade study with representative sampling of birth cohorts and follow-up from menarche to menopause would bypass the described bias.",
author = "Markku Sallm{\'e}n and Bonde, {Jens Peter} and Marja-Liisa Lindbohm and Petter Kristensen",
year = "2015",
month = jan,
doi = "10.1097/EDE.0000000000000190",
language = "English",
volume = "26",
pages = "85--90",
journal = "Epidemiology",
issn = "1044-3983",
publisher = "Lippincott Williams & Wilkins",
number = "1",

}

RIS

TY - JOUR

T1 - Selection bias due to parity-conditioning in studies of time trends in fertility

AU - Sallmén, Markku

AU - Bonde, Jens Peter

AU - Lindbohm, Marja-Liisa

AU - Kristensen, Petter

PY - 2015/1

Y1 - 2015/1

N2 - BACKGROUND: Studies of couple fertility over time have often examined study populations with broad age ranges at a cross-section of time. An increase in fertility has been observed in studies that followed episodes of fertility events either prospectively among nulliparous women or retrospectively among parous women. Fertility has a biological effect on parity. If defined at a cross-section of time, parity will also be affected by year of birth, and thus becomes a collider. Conditioning (stratifying, restricting, or adjusting) on a collider may cause selection bias in the studied association.METHODS: A study with prospective follow-up was taken as the model to assess the validity of fertility studies. We demonstrate the potential for selection bias using causal graphs and nationwide birth statistics and other demographic data. We tested the existence of parity-conditioning bias in data including both parous and nulliparous women. We also used a simulation approach to assess the strength of the bias in populations with prior at-risk cycles. Finally, we evaluated the potential for selection bias due to conditioning on parity in various sampling frames.RESULTS: Analyses indicate that the observed increase in fertility over time can be entirely explained by selection bias due to parity-conditioning.CONCLUSION: Heterogeneity in fertility and differential success in prior at-risk cycles are the ultimate factors behind the selection bias. The potential for selection bias due to parity-conditioning varies by sampling frame. A prospective multidecade study with representative sampling of birth cohorts and follow-up from menarche to menopause would bypass the described bias.

AB - BACKGROUND: Studies of couple fertility over time have often examined study populations with broad age ranges at a cross-section of time. An increase in fertility has been observed in studies that followed episodes of fertility events either prospectively among nulliparous women or retrospectively among parous women. Fertility has a biological effect on parity. If defined at a cross-section of time, parity will also be affected by year of birth, and thus becomes a collider. Conditioning (stratifying, restricting, or adjusting) on a collider may cause selection bias in the studied association.METHODS: A study with prospective follow-up was taken as the model to assess the validity of fertility studies. We demonstrate the potential for selection bias using causal graphs and nationwide birth statistics and other demographic data. We tested the existence of parity-conditioning bias in data including both parous and nulliparous women. We also used a simulation approach to assess the strength of the bias in populations with prior at-risk cycles. Finally, we evaluated the potential for selection bias due to conditioning on parity in various sampling frames.RESULTS: Analyses indicate that the observed increase in fertility over time can be entirely explained by selection bias due to parity-conditioning.CONCLUSION: Heterogeneity in fertility and differential success in prior at-risk cycles are the ultimate factors behind the selection bias. The potential for selection bias due to parity-conditioning varies by sampling frame. A prospective multidecade study with representative sampling of birth cohorts and follow-up from menarche to menopause would bypass the described bias.

U2 - 10.1097/EDE.0000000000000190

DO - 10.1097/EDE.0000000000000190

M3 - Journal article

C2 - 25350769

VL - 26

SP - 85

EP - 90

JO - Epidemiology

JF - Epidemiology

SN - 1044-3983

IS - 1

ER -

ID: 140023815