Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study

Gustavson, Kristin; von Soest, Tilmann; Karevold, Evalill; Røysamb, Espen

doi:10.1186/1471-2458-12-918

Cited by 690Statistical Methods and Bayesian InferenceSurvey Methodology and NonresponseStatistical Methods in Epidemiology

Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study

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Gustavson, Kristin, von Soest, Tilmann, Karevold, Evalill, Røysamb, Espen·2012·BMC Public Health

DOI 10.1186/1471-2458-12-918PMC PMC3503744

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Abstract

BACKGROUND: Attrition is one of the major methodological problems in longitudinal studies. It can deteriorate generalizability of findings if participants who stay in a study differ from those who drop out. The aim of this study was to examine the degree to which attrition leads to biased estimates of means of variables and associations between them. METHODS: Mothers of 18-month-old children were enrolled in a population-based study in 1993 (N=913) that aimed to examine development in children and their families in the general population. Fifteen years later, 56% of the sample had dropped out. The present study examined predictors of attrition as well as baseline associations between variables among those who stayed and those who dropped out of that study. A Monte Carlo simulation study was also performed. RESULTS: Those who had dropped out of the study over 15 years had lower educational level at baseline than those who stayed, but they did not differ regarding baseline psychological and relationship variables. Baseline correlations were the same among those who stayed and those who later dropped out. The simulation study showed that estimates of means became biased even at low attrition rates and only weak dependency between attrition and follow-up variables. Estimates of associations between variables became biased only when attrition was dependent on both baseline and follow-up variables. Attrition rate did not affect estimates of associations between variables. CONCLUSIONS: Long-term longitudinal studies are valuable for studying associations between risk/protective factors and health outcomes even considering substantial attrition rates.

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Attrition rates in longitudinal research vary widely.
“Attrition rates in longitudinal research vary widely [43]”
From Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study (2022) · cites this paper as [43]

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Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,406 · see citing works
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc.v1i1.3787 · Cited by 39,065 · see citing works
Statistical power analyses using G∗Power 3.1: tests for correlation and regression analyses
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009) · Behavior Research Methods · doi:10.3758/brm.41.4.1149 · Cited by 37,615 · see citing works
Untitled work
(1998) · Cited by 36,049 · see citing works
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638 · see citing works
What's wrong with Bonferroni adjustments
Perneger, T. V. (1998) · BMJ · doi:10.1136/bmj.316.7139.1236 · Cited by 5,900 · see citing works
Temperament: Early Developing Personality Traits
Buss, A. H., & Plomin, R. J. (1984) · Research Portal (King's College London) · Cited by 2,139 · see citing works
Behavioral Observations at Age 3 Years Predict Adult Psychiatric Disorders: Longitudinal Evidence From a Birth Cohort
Caspi, A. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830110071009 · Cited by 1,159 · see citing works
Self‐selection and bias in a large prospective pregnancy cohort in Norway
Nilsen, R. M., Vollset, S. E., Gjessing, H. K., Skjærven, R., Klungsøyr, K., Schreuder, P., Alsaker, E. R., Haug, K., Daltveit, A. K., & Magnus, P. M. (2009) · Paediatric and Perinatal Epidemiology · doi:10.1111/j.1365-3016.2009.01062.x · Cited by 836 · see citing works
Assessing the non-random sampling effects of subject attrition in longitudinal research
Goodman, J. S., & Blum, T. C. (1996) · Journal of Management · doi:10.1177/014920639602200405 · Cited by 766 · see citing works
Untitled work
(1980) · PubMed · Cited by 473 · see citing works
The association between depression and marital dissatisfaction.
Whisman, M. A. (2001) · American Psychological Association eBooks · doi:10.1037/10350-001 · Cited by 471 · see citing works
How well can a few questionnaire items indicate anxiety and depression?
Tambs, K., & Moum, T. (1993) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1993.tb03388.x · Cited by 445 · see citing works
Sample size determination for logistic regression revisited
Demidenko, E. (2006) · Statistics in Medicine · doi:10.1002/sim.2771 · Cited by 435 · see citing works
Survey non-response in the Netherlands: Effects on prevalence estimates and associations
Van Loon, A. (2003) · Annals of Epidemiology · doi:10.1016/s1047-2797(02)00257-0 · Cited by 423 · see citing works
Social Support, Negative Life Events and Mental Health
Dalgard, O. S., Bj⊘rk, S., & Tambs, K. (1995) · The British Journal of Psychiatry · doi:10.1192/bjp.166.1.29 · Cited by 413 · see citing works
Symptoms of Emotional Distress in a Family Planning Service: Stability over a Four-Week Period
Winokur, A., Winokur, D. F., Rickels, K., & Cox, D. S. (1984) · British Journal of Psychiatry · doi:10.1192/bjp.144.4.395 · Cited by 390 · see citing works
Psychiatric and Sociodemographic Predictors of Attrition in a Longitudinal Study The Netherlands Mental Health Survey and Incidence Study (NEMESIS)
de Graaf, R., Bijl, R. V., Smit, F., Ravelli, A., & Vollebergh, W. (2000) · American Journal of Epidemiology · doi:10.1093/aje/152.11.1039 · Cited by 355 · see citing works
Monte Carlo Experiments: Design and Implementation
Paxton, P. M., Curran, P. J., Bollen, K. A., Kirby, J., & Chen, F. (2001) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1207/s15328007sem0802_7 · Cited by 347 · see citing works
Research Methods and Statistics
(2009) · CRC Press eBooks · doi:10.1201/9781439808443.ch2 · Cited by 320 · see citing works
The EAS Temperament Questionnaire—Factor Structure, Age Trends, Reliability, and Stability in a Norwegian Sample
Mathiesen, K. S., & Tambs, K. (1999) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00460 · Cited by 250 · see citing works
Major depression in the transition to adulthood: Risks and impairments.
Reinherz, H. Z., Giaconia, R. M., Hauf, A. M. C., Wasserman, M. S., & Silverman, A. B. (1999) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.108.3.500 · Cited by 233 · see citing works
Psychopathology and Attirition in the Epidemiologic Catchment Area Surveys
Eaton, W. W., Anthony, J. C., Tepper, S., & Dryman, A. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116399 · Cited by 211 · see citing works
Psychopathology and attrition in the Baltimore ECA 15-year follow-up 1981-1996
Badawi, M. A., Eaton, W. W., Myllyluoma, J., Weimer, L., & Gallo, J. J. (1999) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s001270050117 · Cited by 206 · see citing works
Evaluating interventions with differential attrition: The importance of nonresponse mechanisms and use of follow-up data.
Graham, J. A., & Donaldson, S. I. (1993) · Journal of Applied Psychology · doi:10.1037/0021-9010.78.1.119 · Cited by 199 · see citing works
Alcohol use and mental distress as predictors of non-response in a general population health survey: the HUNT study
Torvik, F. A., Rognmo, K., & Tambs, K. (2011) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-011-0387-3 · Cited by 158 · see citing works
Predictors and pathways from infancy to symptoms of anxiety and depression in early adolescence.
Karevold, E., Røysamb, E., Ystrøm, E., & Mathiesen, K. S. (2009) · Developmental Psychology · doi:10.1037/a0016123 · Cited by 149 · see citing works
Self-citation
Detecting and Correcting Attrition Bias in Longitudinal Family Research
Miller, R. B., & Wright, D. W. (1995) · Journal of Marriage and the Family · doi:10.2307/353412 · Cited by 142 · see citing works
The Norwegian Institute of Public Health Twin Study of Mental Health: Examining Recruitment and Attrition Bias
Tambs, K., Rønning, T., Prescott, C. A., Kendler, K. S., Reichborn-Kjennerud, T., Torgersen, S., & Harris, J. R. (2009) · Twin Research and Human Genetics · doi:10.1375/twin.12.2.158 · Cited by 118 · see citing works
Methods to Account for Attrition in Longitudinal Data: Do They Work? A Simulation Study
Kristman, V. L., Manno, M., & Côté, P. (2005) · European Journal of Epidemiology · doi:10.1007/s10654-005-7919-7 · Cited by 116 · see citing works
Clinical norms, reliability and validity for the hopkins symptom checklist-21
Deane, F. P., Leathern, J., & Spicer, J. (1992) · Australian Journal of Psychology · doi:10.1080/00049539208260158 · Cited by 113 · see citing works
Characteristics of people lost to attrition in psychiatric follow-up studies
FISCHER, E. H., DORNELAS, E. A., & GOETHE, J. W. (2001) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-200101000-00009 · Cited by 105 · see citing works
The influence of social class, strain and social support on symptoms of anxiety and depression in mothers of toddlers
Mathiesen, K. S., Tambs, K., & Dalgard, O. S. (1999) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s001270050113 · Cited by 102 · see citing works
The Factor Structure of the Buss and Plomin EAS Temperature Survey (Parental Ratings) in a Dutch Sample of Elementary School Children
Boer, F., & Westenberg, P. M. (1994) · Journal of Personality Assessment · doi:10.1207/s15327752jpa6203_13 · Cited by 98 · see citing works
Contacting participants for follow-up: how much effort is required to retain participants in longitudinal studies?
Cotter, R. B., Burke, J. D., Stouthamer‐Loeber, M., & Loeber, R. (2004) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2004.10.002 · Cited by 97 · see citing works
The Nature and Predictors of Undercontrolled and Internalizing Problem Trajectories Across Early Childhood
Mathiesen, K. S., Sanson, A. V., Stoolmiller, M., & Karevold, E. (2008) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-008-9268-y · Cited by 95 · see citing works
Self-citation
Effects of sample attrition in a longitudinal study of the association between alcohol intake and all‐cause mortality
Thygesen, L. C., Johansen, C., Keiding, N., Giovannucci, E. L., & Grønbæk, M. (2008) · Addiction · doi:10.1111/j.1360-0443.2008.02241.x · Cited by 56 · see citing works
Temperament in Adults-Reliability, Stability, and Factor Structure of the EAS Temperament Survey
Nærde, A., Røysamb, E., & Tambs, K. (2004) · Journal of Personality Assessment · doi:10.1207/s15327752jpa8201_12 · Cited by 48 · see citing works
Self-citation
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Bjerkeset, O. A., Nordahl, H. M., Larsson, S. M., Dahl, A. A., & Linaker, O. M. (2007) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-007-0289-6 · Cited by 44 · see citing works
Attrition bias in longitudinal research involving adolescent psychiatric outpatients
Allott, K., Chanen, A., & Yuen, H. P. (2006) · The Journal of Nervous and Mental Disease · doi:10.1097/01.nmd.0000243761.52104.91 · Cited by 43 · see citing works
Longitudinal associations between relationship problems, divorce, and life satisfaction: Findings from a 15-year population-based study
Gustavson, K., Røysamb, E., von Soest, T., Helland, M. J., & Mathiesen, K. S. (2012) · The Journal of Positive Psychology · doi:10.1080/17439760.2012.671346 · Cited by 39 · see citing works
Self-citation
Features associated with the non-participation and drop out by socially-at-risk children and adolescents in mental-health epidemiological studies
Granero, R., Ezpeleta, L., & Domenech, J. M. (2007) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-006-0155-y · Cited by 34 · see citing works
The importance of critically interpreting simulation studies.
Maldonado, G., & Greenland, S. (1997) · PubMed · Cited by 31 · see citing works
Multiple imputation for estimation of an occurrence rate in cohorts with attrition and discrete follow-up time points: a simulation study
Soullier, N., Rochebrochard, É. D. L., & Bouyer, J. (2010) · BMC Medical Research Methodology · doi:10.1186/1471-2288-10-79 · Cited by 17 · see citing works

Flagged first, then by citations

Research works printed but not linked: 2

Schaffer RH Social Development 1996 Blackwell Plublishers Inc., Oxford
Hesbacher PT Rickels K Morris RJ Newman H Rosenfeld H Psychiatric illness in family practice J Clin Psychiatry 1980 41 6 10 7351399

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Pattison, K. L., Kraschnewski, J. L., Lehman, E. B., Savage, J. S., Downs, D. S., Leonard, K. S., Adams, E. L., Paul, I. M., & Kjerulff, K. H. (2018) · Preventive Medicine · doi:10.1016/j.ypmed.2018.09.020 · Cited by 66 · see citing works
The Impact of Parental Role Distributions, Work Participation, and Stress Factors on Family Health-Related Outcomes: Study Protocol of the Prospective Multi-Method Cohort “Dresden Study on Parenting, Work, and Mental Health” (DREAM)
Kress, V., Steudte‐Schmiedgen, S., Kopp, M., Förster, A., Altus, C., Schier, C., Wimberger, P., Kirschbaum, C., von Soest, T., Weidner, K., et al. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01273 · Cited by 66 · see citing works
Gender, risk-taking and entrepreneurial intentions: assessing the impact of higher education longitudinally
Gürel, E., Madanoglu, M., & Altınay, L. (2021) · Education + Training · doi:10.1108/et-08-2019-0190 · Cited by 65 · see citing works
Cross-language transfer of reading skills: an empirical investigation of bidirectionality and the influence of instructional environments
Kim, Y.-S. G., & Piper, B. (2019) · Reading and Writing · doi:10.1007/s11145-018-9889-7 · Cited by 62 · see citing works
Shift Work and Respiratory Infections in Health-Care Workers
Loef, B., van Baarle, D., van der Beek, A. J., Sanders, E. A. M., Bruijning-Verhagen, P. C. J. L., & Proper, K. I. (2018) · American Journal of Epidemiology · doi:10.1093/aje/kwy258 · Cited by 62 · see citing works
mHealth technology for ecological momentary assessment in physical activity research: a systematic review
Zapata-Lamana, R., Lalanza, J. F., Losilla, J.-M., Parrado, E., & Capdevila, L. (2020) · PeerJ · doi:10.7717/peerj.8848 · Cited by 61 · see citing works
Screen time and moderate‐to‐vigorous physical activity changes and displacement in adolescence: A prospective cohort study
Lizandra, J., Devís‐Devís, J., Valencia‐Peris, A., Tomás, J. M., & Velert, C. P. (2018) · European Journal of Sport Science · doi:10.1080/17461391.2018.1548649 · Cited by 61 · see citing works
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Gustavson, K., Ask, H., Ystrøm, E., Stoltenberg, C., Lipkin, W. I., Surén, P., Håberg, S. E., Magnus, P. M., Knudsen, G. P., Eilertsen, E. M., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-45920-7 · Cited by 61 · see citing works
Self-citation
Well-Being at Work: Some Differences Between Life Satisfaction and Personal Growth as Predictors of Subjective Health and Sick-Leave
Straume, L. V., & Vittersø, J. (2014) · Journal of Happiness Studies · doi:10.1007/s10902-014-9502-y · Cited by 59 · see citing works
Using Electronic Health Records in Longitudinal Studies
Huguet, N., Kaufmann, J., O'Malley, J. P., Angier, H. E., Hoopes, M. J., DeVoe, J. E., & Marino, M. (2020) · Medical Care · doi:10.1097/mlr.0000000000001298 · Cited by 58 · see citing works
Inhibitory Control Across Athletic Expertise and Its Relationship With Sport Performance
Hagyard, J. D., Brimmell, J., Edwards, E. J., & Vaughan, R. S. (2020) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.2020-0043 · Cited by 58 · see citing works
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Kant, A. C., Jansen, J. R. G., van Balveren, L., & van Hunsel, F. P. A. M. (2022) · Drug Safety · doi:10.1007/s40264-022-01151-w · Cited by 57 · see citing works
Moralization and the 2012 U.S. presidential election campaign
Brandt, M. J., Wisneski, D. C., & Skitka, L. J. (2015) · Journal of Social and Political Psychology · doi:10.5964/jspp.v3i2.434 · Cited by 55 · see citing works
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Steinhoff, A., Bechtiger, L., Ribeaud, D., Eisner, M., Quednow, B. B., & Shanahan, L. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.797473 · Cited by 51 · see citing works
Differential susceptibility to environmental influences: Interactions between child temperament and parenting in adolescent alcohol use
Rioux, C., Ryan, N. C., Parent, S., Vitaro, F., Tremblay, R. E., & Séguin, J. R. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000437 · Cited by 51 · see citing works
Understanding Continuance Intention toward Crowdsourcing Games: A Longitudinal Investigation
Wang, X., Goh, D. H., & Lim, E. (2020) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2020.1724010 · Cited by 51 · see citing works
Systematic and continuous collection of patient-reported outcomes and experience in women with cancer undergoing mastectomy and immediate breast reconstruction: a study protocol for the Tuscany Region (Italy)
Ferré, F., Rosis, S. D., Murante, A. M., Gilmore, K. J., Ghilli, M., Mariniello, M. D., Nuti, S., & Roncella, M. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-042235 · Cited by 49 · see citing works
Single Nucleotide Polymorphism Heritability of Behavior Problems in Childhood: Genome-Wide Complex Trait Analysis
Pappa, I., Fedko, I. O., Mileva‐Seitz, V. R., Hottenga, J., Bakermans‐Kranenburg, M. J., Bartels, M., van Beijsterveldt, C. E. M., Jaddoe, V. W. V., Middeldorp, C. M., Rippe, R. C. A., et al. (2015) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2015.06.004 · Cited by 49 · see citing works
Informal assistance to urban families and the risk of household food insecurity
King, C. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.07.030 · Cited by 49 · see citing works
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Udayar, S., Urbanavičiūtė, I., Massoudi, K., & Rossier, J. (2019) · European Journal of Personality · doi:10.1002/per.2225 · Cited by 49 · see citing works
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Ryerson, N. C., Wilson, O. W. A., Pena, A., Duffy, M., & Bopp, M. (2021) · Translational Behavioral Medicine · doi:10.1093/tbm/ibab006 · Cited by 49 · see citing works
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Hutmacher, D., Eckelt, M., Bund, A., & Steffgen, G. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17197258 · Cited by 47 · see citing works
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Faure, N., Habersaat, S., Harari, M. M., Müller‐Nix, C., Borghini, A., Ansermet, F., Tolsa, J., & Urben, S. (2016) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-016-0194-0 · Cited by 46 · see citing works
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Launes, J., Hokkanen, L., Laasonen, M. R., Tuulio‐Henriksson, A., Virta, M., Lipsanen, J. O., Tienari, P. J., & Michelsson, K. (2014) · PeerJ · doi:10.7717/peerj.480 · Cited by 39 · see citing works
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Pathways from Maternal Distress and Child Problem Behavior to Adolescent Depressive Symptoms
Nilsen, W., Gustavson, K., Røysamb, E., Kjeldsen, A., & Karevold, E. (2013) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0b013e318293ab05 · Cited by 33 · see citing works
Self-citation
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Mignogna, G., Carey, C. E., Wedow, R., Baya, N. A., Cordioli, M., Pirastu, N., Bellocco, R., Malerbi, K. F., Nivard, M. G., Neale, B. M., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01632-7 · Cited by 33 · see citing works
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Adler‐Baeder, F. M., Garneau, C. L., Vaughn, B. E., McGill, J. M., Harcourt, K. T., Ketring, S. A., & Smith, T. A. (2016) · Family Process · doi:10.1111/famp.12267 · Cited by 32 · see citing works
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Self-citation
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Adamczyk, K., Barr, A. B., & Segrin, C. G. (2021) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12248 · Cited by 32 · see citing works
Mechanisms that mitigate the effects of child poverty and improve children's cognitive and social–emotional development: A systematic review
Saitadze, I., & Lalayants, M. (2021) · Child & Family Social Work · doi:10.1111/cfs.12809 · Cited by 31 · see citing works
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Smolle, M. A., Fischerauer, S. F., Zötsch, S., Kiegerl, A. V., Sadoghi, P., Gruber, G., Leithner, A., & Bernhardt, G. A. (2022) · The Bone & Joint Journal · doi:10.1302/0301-620x.104b2.bjj-2021-0798.r2 · Cited by 31 · see citing works

Selective attrition does not affect cross-sectional estimates of associations with emotional and behavioral problems in a longitudinal study with onset in adolescence
Steinhausen, H., Spitz, A., Aebi, M., Metzke, C. W., & Walitza, S. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.112685 · Cited by 19 · see citing works
Does attrition affect estimates of association: A longitudinal study
Saiepour, N., Najman, J. M., Ware, R. S., Baker, P., Clavarino, A. M., & Williams, G. M. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.12.022 · Cited by 105 · see citing works
Attrition in longitudinal population studies: Does it affect the generalizability of the findings?1An introduction to the series
Deeg, D. J. H. (2002) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00472-3 · Cited by 97 · see citing works
Attrition in longitudinal household survey data
Alderman, H., Behrman, J., Kohler, H., Maluccio, J., & Watkins, S. (1999) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-2447 · Cited by 528 · see citing works
RESEARCH ARTICLE Attrition and generalizabil 5 s
(2016)

Authors: Gustavson, K., von Soest, T., Karevold, E., & Røysamb, E.
Affiliations: Norwegian Institute of Public Health (NO)
Corresponding author: Gustavson, Kristin
ORCID: Gustavson, Kristin
Røysamb, Espen
Venue: BMC Public Health
Publisher: Springer Science and Business Media LLC
Published: 2012-10-29
Volume: 12
Issue: 1
Pages: 918-918
ISSN: 1471-2458 (ISSN-L)
DOI: 10.1186/1471-2458-12-918
PMC: PMC3503744
OpenAlex: W1995178720
Cited by: 679
References: 45
Citations by year: 2026: 68 · 2025: 84 · 2024: 79 · 2023: 61 · 2022: 75 · 2021: 55 · 2020: 55 · 2019: 36 · 2018: 46 · 2017: 38 · 2016: 20 · 2015: 30 · 2014: 15 · 2013: 11 · 2012: 4
FWCI: 18.31
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/2.0 (tdm)
Locations: BMC Public Health (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
Funders: Norges Forskningsråd
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords: attrition, longitudinal study, generalizability, selection bias, dropout, educational attainment, child development, mothers, Monte Carlo simulation
MeSH terms: Adult, Computer Simulation, Female, Follow-Up Studies, Humans, Longitudinal Studies, Monte Carlo Method, Mothers, Patient Dropouts, Risk Factors, Time Factors, Bias

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Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study

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