Inverse probability weighting for self-selection bias correction in the investigation of social inequality in mortality
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Inverse probability weighting for self-selection bias correction in the investigation of social inequality in mortality. / Petersen, Gitte Lindved; Jørgensen, Terese Sara Høj; Mathisen, Jimmi; Osler, Merete; Mortensen, Erik Lykke; Molbo, Drude; Hougaard, Charlotte Ørsted; Lange, Theis; Lund, Rikke.
In: International Journal of Epidemiology, Vol. 53, No. 4, 2024.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Inverse probability weighting for self-selection bias correction in the investigation of social inequality in mortality
AU - Petersen, Gitte Lindved
AU - Jørgensen, Terese Sara Høj
AU - Mathisen, Jimmi
AU - Osler, Merete
AU - Mortensen, Erik Lykke
AU - Molbo, Drude
AU - Hougaard, Charlotte Ørsted
AU - Lange, Theis
AU - Lund, Rikke
N1 - © The Author(s) 2024; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.
PY - 2024
Y1 - 2024
N2 - BACKGROUND: Empirical evaluation of inverse probability weighting (IPW) for self-selection bias correction is inaccessible without the full source population. We aimed to: (i) investigate how self-selection biases frequency and association measures and (ii) assess self-selection bias correction using IPW in a cohort with register linkage.METHODS: The source population included 17 936 individuals invited to the Copenhagen Aging and Midlife Biobank during 2009-11 (ages 49-63 years). Participants counted 7185 (40.1%). Register data were obtained for every invited person from 7 years before invitation to the end of 2020. The association between education and mortality was estimated using Cox regression models among participants, IPW participants and the source population.RESULTS: Participants had higher socioeconomic position and fewer hospital contacts before baseline than the source population. Frequency measures of participants approached those of the source population after IPW. Compared with primary/lower secondary education, upper secondary, short tertiary, bachelor and master/doctoral were associated with reduced risk of death among participants (adjusted hazard ratio [95% CI]: 0.60 [0.46; 0.77], 0.68 [0.42; 1.11], 0.37 [0.25; 0.54], 0.28 [0.18; 0.46], respectively). IPW changed the estimates marginally (0.59 [0.45; 0.77], 0.57 [0.34; 0.93], 0.34 [0.23; 0.50], 0.24 [0.15; 0.39]) but not only towards those of the source population (0.57 [0.51; 0.64], 0.43 [0.32; 0.60], 0.38 [0.32; 0.47], 0.22 [0.16; 0.29]).CONCLUSIONS: Frequency measures of study participants may not reflect the source population in the presence of self-selection, but the impact on association measures can be limited. IPW may be useful for (self-)selection bias correction, but the returned results can still reflect residual or other biases and random errors.
AB - BACKGROUND: Empirical evaluation of inverse probability weighting (IPW) for self-selection bias correction is inaccessible without the full source population. We aimed to: (i) investigate how self-selection biases frequency and association measures and (ii) assess self-selection bias correction using IPW in a cohort with register linkage.METHODS: The source population included 17 936 individuals invited to the Copenhagen Aging and Midlife Biobank during 2009-11 (ages 49-63 years). Participants counted 7185 (40.1%). Register data were obtained for every invited person from 7 years before invitation to the end of 2020. The association between education and mortality was estimated using Cox regression models among participants, IPW participants and the source population.RESULTS: Participants had higher socioeconomic position and fewer hospital contacts before baseline than the source population. Frequency measures of participants approached those of the source population after IPW. Compared with primary/lower secondary education, upper secondary, short tertiary, bachelor and master/doctoral were associated with reduced risk of death among participants (adjusted hazard ratio [95% CI]: 0.60 [0.46; 0.77], 0.68 [0.42; 1.11], 0.37 [0.25; 0.54], 0.28 [0.18; 0.46], respectively). IPW changed the estimates marginally (0.59 [0.45; 0.77], 0.57 [0.34; 0.93], 0.34 [0.23; 0.50], 0.24 [0.15; 0.39]) but not only towards those of the source population (0.57 [0.51; 0.64], 0.43 [0.32; 0.60], 0.38 [0.32; 0.47], 0.22 [0.16; 0.29]).CONCLUSIONS: Frequency measures of study participants may not reflect the source population in the presence of self-selection, but the impact on association measures can be limited. IPW may be useful for (self-)selection bias correction, but the returned results can still reflect residual or other biases and random errors.
KW - Humans
KW - Female
KW - Male
KW - Middle Aged
KW - Denmark/epidemiology
KW - Mortality/trends
KW - Selection Bias
KW - Proportional Hazards Models
KW - Socioeconomic Factors
KW - Educational Status
KW - Probability
KW - Registries
U2 - 10.1093/ije/dyae097
DO - 10.1093/ije/dyae097
M3 - Journal article
C2 - 38996447
VL - 53
JO - International Journal of Epidemiology
JF - International Journal of Epidemiology
SN - 0300-5771
IS - 4
ER -
ID: 398559765