Cited by 452Statistical Methods and Bayesian InferenceSpatial and Panel Data AnalysisAgriculture, Soil, Plant Science

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Advances in Analysis of Longitudinal Data

Open access

Gibbons, Robert D., Hedeker, Donald, DuToit, Stephen·2010·Annual Review of Clinical Psychology

DOI 10.1146/annurev.clinpsy.032408.153550PMC PMC2971698

Open this paper in CoChat — free account

Abstract

In this review, we explore recent developments in the area of linear and nonlinear generalized mixed-effects regression models and various alternatives, including generalized estimating equations for analysis of longitudinal data. Methods are described for continuous and normally distributed as well as categorical (binary, ordinal, nominal) and count (Poisson) variables. Extensions of the model to three and four levels of clustering, multivariate outcomes, and incorporation of design weights are also described. Linear and nonlinear models are illustrated using an example involving a study of the relationship between mood and smoking.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1146/annurev.clinpsy.032408.153550

Cites

82 of 82 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,773
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,385
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647
Inference and missing data
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
Longitudinal Data Analysis for Discrete and Continuous Outcomes
Zeger, S. L., & Liang, K. (1986) · Biometrics · doi:10.2307/2531248 · Cited by 7,781
Analysis of Longitudinal Data
Everitt, B. S. (2001) · Psychology Press eBooks · doi:10.4324/9781410605542-11 · Cited by 6,877
Multilevel Statistical Models
Goldstein, H. (2006) · Technometrics · doi:10.1198/tech.2006.s417 · Cited by 4,960

Show all 75 references

Research works printed but not linked: 7

Bock RD, 1983, Modern Advances in Psychometric Research, 103
Bock RD, 1983, Statistical and Methodological Advances in Psychiatric Research, 59
10.1037/0022-006X.65.1.130 · DOI
Gibbons RD, 1981, Trend in correlated proportions
Gibbons RD, 1988, Psychopharmacol. Bull., 24, 438
Hedeker D, 1989, Random regression models with autocorrelated errors
Hedeker D, 2008, SuperMix—a program for mixed-effects regression models

Sorted by citations

Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases
Lloyd-Price, J., Arze, C., Ananthakrishnan, A. N., Schirmer, M., Avila-Pacheco, J., Poon, T. W., Andrews, E., Ajami, N. J., Bonham, K. S., Brislawn, C. J., et al. (2019) · Nature · doi:10.1038/s41586-019-1237-9 · Cited by 3,143
Physical activity in European adolescents and associations with anxiety, depression and well-being
McMahon, E. M., Corcoran, P., O’Regan, G., Keeley, H., Cannon, M., Carli, V., Wasserman, C., Hadlaczky, G., Sarchiapone, M., Apter, A., et al. (2017) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-016-0875-9 · Cited by 636
Dialectical behavior therapy skills use as a mediator and outcome of treatment for borderline personality disorder
Neacsiu, A. D., Rizvi, S. L., & Linehan, M. M. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2010.05.017 · Cited by 426
Outcomes, moderators, and mediators of empathic-emotion recognition training for complex conduct problems in childhood
Dadds, M. R., Cauchi, A., Wimalaweera, S., Hawes, D. J., & Brennan, J. (2012) · Psychiatry Research · doi:10.1016/j.psychres.2012.04.033 · Cited by 348
Brain development during adolescence: A mixed‐longitudinal investigation of cortical thickness, surface area, and volume
Vijayakumar, N., Allen, N. B., Youssef, G. J., Dennison, M., Yücel, M., Simmons, J. G., & Whittle, S. (2016) · Human Brain Mapping · doi:10.1002/hbm.23154 · Cited by 287
Racial and ethnic differences in trends in dementia prevalence and risk factors in the United States
Chen, C., & Zissimopoulos, J. (2018) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.08.009 · Cited by 278
Preoperative optimization of patient expectations improves long-term outcome in heart surgery patients: results of the randomized controlled PSY-HEART trial
Rief, W., Shedden-Mora, M. C., Laferton, J. A. C., Auer, C., Petrie, K. J., Salzmann, S., Schedlowski, M., & Moosdorf, R. (2017) · BMC Medicine · doi:10.1186/s12916-016-0767-3 · Cited by 261
Effectiveness of Population Health Management Using the Propeller Health Asthma Platform: A Randomized Clinical Trial
Merchant, R. K., Inamdar, R., & Quade, R. (2016) · The Journal of Allergy and Clinical Immunology In Practice · doi:10.1016/j.jaip.2015.11.022 · Cited by 221
Role of Positive Parenting in the Association Between Neighborhood Social Disadvantage and Brain Development Across Adolescence
Whittle, S., Vijayakumar, N., Simmons, J. G., Dennison, M., Schwartz, O., Pantelis, C., Sheeber, L., Byrne, M. L., & Allen, N. B. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.1558 · Cited by 195
Family Intervention for Adolescents With Suicidal Behavior: A Randomized Controlled Trial and Mediation Analysis
Pineda, J., & Dadds, M. R. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.05.015 · Cited by 174
Suicidal behavior and problems with emotion regulation
Neacsiu, A. D., Fang, C. M., Rodriguez, M., & Rosenthal, M. Z. (2018) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.12335 · Cited by 139
The persistence of predictors of wellbeing among refugee youth eight years after resettlement in Melbourne, Australia
Correa‐Velez, I., Gifford, S. M., & McMichael, C. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2015.08.017 · Cited by 139
Structural brain development: A review of methodological approaches and best practices
(2017) · doi:10.1016/j.dcn.2017.11.008 · Cited by 124
Statistical Approaches to Longitudinal Data Analysis in Neurodegenerative Diseases: Huntington’s Disease as a Model
Garcia, T. P., & Marder, K. S. (2017) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-017-0723-4 · Cited by 135
The patient–physician relationship in patients with chronic low back pain as a predictor of outcomes after rehabilitation
Farin‐Glattacker, E., Gramm, L., & Schmidt, E. (2012) · Journal of Behavioral Medicine · doi:10.1007/s10865-012-9419-z · Cited by 127
Machine and deep learning for longitudinal biomedical data: a review of methods and applications
Cascarano, A., Mur-Petit, J., Hernández-González, J., Camacho, M., Eadie, N. D. T., Gkontra, P., Chadeau‐Hyam, M., Vitria, J. M., & Lekadir, K. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10561-w · Cited by 147
Randomized controlled trial of cognitive behaviour therapy for comorbid post-traumatic stress disorder and alcohol use disorders
Sannibale, C., Teesson, M., Creamer, M. C., Sitharthan, T., Bryant, R. A., Sutherland, K., Taylor, K., matusko, D. B., Visser, A., & Peek-O’Leary, M. (2013) · Addiction · doi:10.1111/add.12167 · Cited by 119
An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data
Cheng, L., Ramchandran, S., Vatanen, T., Lietzén, N., Lahesmaa, R., Vehtari, A., & Lähdesmäki, H. J. (2019) · Nature Communications · doi:10.1038/s41467-019-09785-8 · Cited by 119
Longitudinal modeling in developmental neuroimaging research: Common challenges, and solutions from developmental psychology
King, K. M., Littlefield, A. K., McCabe, C. J., Mills, K. L., Flournoy, J. C., & Chassin, L. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.11.009 · Cited by 117
Patterns of change in children with Autism Spectrum Disorders who received community based comprehensive interventions in their pre-school years: A seven year follow-up study
Magiati, I., Moss, J., Charman, T., & Howlin, P. (2011) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2010.11.007 · Cited by 108
A structured review of panel studies used to investigate associations between ambient air pollution and heart rate variability
Buteau, S., & Goldberg, M. S. (2016) · Environmental Research · doi:10.1016/j.envres.2016.03.013 · Cited by 103
Stepped Collaborative Care Targeting Posttraumatic Stress Disorder Symptoms and Comorbidity for US Trauma Care Systems
Zatzick, D., Jurkovich, G. J., Heagerty, P. J., Russo, J. E., Darnell, D. A., Parker, L. E., Roberts, M. K., Moodliar, R., Engstrom, A., Wang, J., et al. (2021) · JAMA Surgery · doi:10.1001/jamasurg.2021.0131 · Cited by 101
Sedentary Behavior, Cardiorespiratory Fitness, Physical Activity, and Cardiometabolic Risk in Men: The Cooper Center Longitudinal Study
Shuval, K., Finley, C. E., Barlow, C. E., Gabriel, K. P., Leonard, D. S., & Kohl, H. W. (2014) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2014.04.026 · Cited by 95
Sex differences in smoking cue reactivity: Craving, negative affect, and preference for immediate smoking
Doran, N. (2013) · American Journal on Addictions · doi:10.1111/j.1521-0391.2014.12094.x · Cited by 102
Polysubstance use and misuse or abuse of prescription opioid analgesics: a multi-level analysis of international data
Morley, K. I., Ferris, J., WINSTOCK, A. R., & Lynskey, M. T. (2017) · Pain · doi:10.1097/j.pain.0000000000000892 · Cited by 95
Developmental trajectories of self-injurious behavior, suicidal behavior and substance misuse and their association with adolescent borderline personality pathology
Nakar, O., Brunner, R. M., Schilling, O. K., Chanen, A. M., Fischer, G., Parzer, P., Carli, V., Wasserman, D., Sarchiapone, M., Wasserman, C., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.03.029 · Cited by 95
The effectiveness of an attention bias modification program as an adjunctive treatment for Post-Traumatic Stress Disorder
Kuckertz, J. M., Amir, N., Boffa, J. W., Warren, C. K., Rindt, S. E. M., Norman, S. B., Ram, V., Ziajko, L. A., Webb-Murphy, J. A., & McLay, R. N. (2014) · Behaviour Research and Therapy · doi:10.1016/j.brat.2014.09.002 · Cited by 95
Progressive Multiple Sclerosis Is Associated with Faster and Specific Retinal Layer Atrophy
Sotirchos, E. S., Caldito, N. G., Filippatou, A. G., Fitzgerald, K. C., Murphy, O. C., Lambe, J., Nguyen, J. V., Button, J., Ogbuokiri, E., Crainiceanu, C. M., et al. (2020) · Annals of Neurology · doi:10.1002/ana.25738 · Cited by 88
Effects of Positive Psychology Interventions on Risk Biomarkers in Coronary Patients: A Randomized, Wait-List Controlled Pilot Trial
Nikrahan, G. R., Laferton, J. A. C., Asgari, K., Kalantari, M., Abedi, M. R., Etesampour, A., Rezaei, A., Suarez, L., & Huffman, J. C. (2016) · Psychosomatics · doi:10.1016/j.psym.2016.02.007 · Cited by 84
Saccade Adaptation Abnormalities Implicate Dysfunction of Cerebellar-Dependent Learning Mechanisms in Autism Spectrum Disorders (ASD)
Mosconi, M. W., Luna, B., Kay-Stacey, M., Nowinski, C. V., Rubin, L. H., Scudder, C. A., Minshew, N. J., & Sweeney, J. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063709 · Cited by 83
Optimal duration of an early intervention programme for first-episode psychosis: randomised controlled trial
Chang, W. C., Chan, G. H. K., Jim, O. T. T., Lau, E. S. K., Hui, C. L. M., Chan, S. K. W., Lee, E. H. M., & Chen, E. Y. H. (2015) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.114.150144 · Cited by 82
Built environment determinants of bicycle volume: A longitudinal analysis
Chen, P., Zhou, J., & Sun, F. (2017) · Journal of Transport and Land Use · doi:10.5198/jtlu.2017.892 · Cited by 81
Binge drinking during adolescence and young adulthood is associated with deficits in verbal episodic memory
Carbia, C., Cadaveira, F., Caamaño‐Isorna, F., Holguı́n, S. R., & Corral, M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171393 · Cited by 78
Are impairments in emotion recognition a core feature of callous–unemotional traits? Testing the primary versus secondary variants model in children
Dadds, M. R., Kimonis, E. R., Schollar‐Root, O., Moul, C., & Hawes, D. J. (2017) · Development and Psychopathology · doi:10.1017/s0954579417000475 · Cited by 76
Mindfulness’ effects on stress, coping, and mood: A daily diary goodness-of-fit study.
Finkelstein‐Fox, L., Park, C. L., & Riley, K. E. (2018) · Emotion · doi:10.1037/emo0000495 · Cited by 83
Breaking Bad: Two Decades of Life-Course Data Analysis in Criminology, Developmental Psychology, and Beyond
Erosheva, E. A., Matsueda, R. L., & Telesca, D. (2013) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-022513-115701 · Cited by 72
Disseminating alcohol screening and brief intervention at trauma centers: a policy-relevant cluster randomized effectiveness trial
Zatzick, D., Donovan, D. M., Jurkovich, G. J., Gentilello, L. M., Dunn, C. W., Russo, J. E., Wang, J., Zatzick, C. D., Love, J., McFadden, C., et al. (2014) · Addiction · doi:10.1111/add.12492 · Cited by 73
Longitudinal changes in within-salience network functional connectivity mediate the relationship between childhood abuse and neglect, and mental health during adolescence
Rakesh, D., Allen, N. B., & Whittle, S. (2021) · Psychological Medicine · doi:10.1017/s0033291721003135 · Cited by 79
Technology‐Enhanced Stepped Collaborative Care Targeting Posttraumatic Stress Disorder and Comorbidity After Injury: A Randomized Controlled Trial
Zatzick, D., O’Connor, S. S., Russo, J. E., Wang, J., Bush, N. E., Love, J., Peterson, R. S., Ingraham, L. M., Darnell, D. A., Whiteside, L., et al. (2015) · Journal of Traumatic Stress · doi:10.1002/jts.22041 · Cited by 70
Seasonal Energetic Stress in a Tropical Forest Primate: Proximate Causes and Evolutionary Implications
Foerster, S., Cords, M., & Monfort, S. L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050108 · Cited by 70
Life Course Trajectories of Cardiovascular Risk Factors in Women With and Without Hypertensive Disorders in First Pregnancy: The HUNT Study in Norway
Haug, E. B., Horn, J., Markovitz, A. R., Fraser, A., VATTEN, L. J., Macdonald-Wallis, C. M., Tilling, K. M., Romundstad, P., Rich-Edwards, J. W., & Åsvold, B. O. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.009250 · Cited by 70
Modelling possible causality in the associations between unemployment, cannabis use, and alcohol misuse
Boden, J. M., Lee, J. O., Horwood, L. J., Grest, C. V., & McLeod, G. F. H. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.01.001 · Cited by 70
Biobehavioral mechanisms of topiramate's effects on alcohol use: an investigation pairing laboratory and ecological momentary assessments
Miranda, R., MacKillop, J. M., Padovano, H. T., Blanchard, A., Tidey, J. W., Swift, R. M., Chun, T. H., Rohsenow, D. J., & Monti, P. M. (2014) · Addiction Biology · doi:10.1111/adb.12192 · Cited by 69
Novel physical activity interventions for older patients with prostate cancer on hormone therapy: A pilot randomized study
Sajid, S., Dale, W., Mustian, K. M., Kotwal, A., Heckler, C. E., Porto, M., Fung, C., & Mohile, S. G. (2016) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2016.02.002 · Cited by 66
Effect of Collaborative Care on Persistent Postconcussive Symptoms in Adolescents
McCarty, C. A., Zatzick, D., Marcynyszyn, L. A., Wang, J., Hilt, R. J., Jinguji, T. M., Quitiquit, C., Chrisman, S. P. D., & Rivara, F. P. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.0207 · Cited by 69
Getting the most out of intensive longitudinal data: a methodological review of workload–injury studies
Windt, J., Ardern, C., Gabbett, T., Khan, K., Cook, C., Sporer, B., & Zumbo, B. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-022626 · Cited by 55
A topic-based patent analytics approach for exploring technological trends in smart manufacturing
Wang, J., & Hsu, C.-C. (2020) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-03-2020-0106 · Cited by 69
Cognitive decline in Huntington's disease expansion gene carriers
Baake, V., Reijntjes, R. H. A. M., Dumas, E. M., Thompson, J. C., & Roos, R. A. C. (2017) · Cortex · doi:10.1016/j.cortex.2017.07.017 · Cited by 64
Tailored Nutrition Education and Food Assistance Improve Adherence to HIV Antiretroviral Therapy: Evidence from Honduras
Martı́nez, H., Palar, K., Linnemayr, S., Smith, A. C., Derose, K. P., Ramírez, B., Farías, H., & Wagner, G. J. (2014) · AIDS and Behavior · doi:10.1007/s10461-014-0786-z · Cited by 62
Can Valproic Acid be an Inducer of Clozapine Metabolism?
DÍAZ, F. J., Eap, C. B., Ansermot, N., Crettol, S., Spina, E., & de León, J. (2014) · Pharmacopsychiatry · doi:10.1055/s-0034-1371866 · Cited by 62
Investigating treatment characteristics and first-session relationship variables as predictors of dropout in the treatment of traumatized youth
Ormhaug, S. M., & Jensen, T. K. (2016) · Psychotherapy Research · doi:10.1080/10503307.2016.1189617 · Cited by 66
Affective reactivity during adolescence: Associations with age, puberty and testosterone
Vijayakumar, N., Pfeifer, J. H., Flournoy, J. C., Hernandez, L. M., & Dapretto, M. (2019) · Cortex · doi:10.1016/j.cortex.2019.04.024 · Cited by 72
The effects of marijuana smoking on lung function in older people
Tan, W. C., Bourbeau, J., Aaron, S. D., Hogg, J. C., Maltais, F., Hernandez, P., Marciniuk, D. D., Chapman, K. R., To, T. M., FitzGerald, J. M., et al. (2019) · European Respiratory Journal · doi:10.1183/13993003.00826-2019 · Cited by 59
Effect of Initial Treatment Choice on 2-year Quality of Life in Patients with Low-risk Papillary Thyroid Microcarcinoma
Moon, J. H., Ryu, C. H., Cho, S. W., Choi, J. Y., Chung, E., Hah, J. H., Hwangbo, Y., Jeong, W., Jung, Y., Kim, J., et al. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa889 · Cited by 58
“Not just right experiences” predict obsessive–compulsive symptoms in non-clinical Italian individuals: A one-year longitudinal study
Sica, C., Caudek, C., Chiri, L. R., Ghisi, M., & Marchetti, I. (2012) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2012.03.006 · Cited by 60
Hoping Is Coping: A Guiding Theoretical Framework for Promoting Coping and Adjustment Following Pediatric Cancer Diagnosis
Germann, J. N., Leonard, D., Stuenzi, T., Pop, R. B., Stewart, S. M., & Leavey, P. J. (2015) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsv027 · Cited by 64
Hypertension and obesity moderate the relationship between β‐amyloid and cognitive decline in midlife
Clark, L. R., Koscik, R. L., Allison, S. L., Berman, S. E., Norton, D., Carlsson, C. M., Betthauser, T. J., Bendlin, B. B., Christian, B. T., Chin, N. A., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.09.008 · Cited by 57
Wildfires and the role of their drivers are changing over time in a large rural area of west-central Spain
Viedma, O., Urbieta, I. R., & Moreno, J. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-36134-4 · Cited by 61
Additive biomass equations based on complete weighing of sample trees for open eucalypt forest species in south-eastern Australia
Bi, H., Murphy, S., Volkova, L., Weston, C. J., Fairman, T. A., Li, Y., Law, R., Norris, J., Lei, X., & Caccamo, G. (2015) · Forest Ecology and Management · doi:10.1016/j.foreco.2015.03.007 · Cited by 56
Left Ventricular Compressions Improve Hemodynamics in a Swine Model of Out-of-Hospital Cardiac Arrest
Anderson, K. L., Castaneda, M. G., Boudreau, S. M., Sharon, D. J., & Bebarta, V. S. (2016) · Prehospital Emergency Care · doi:10.1080/10903127.2016.1241328 · Cited by 56
The interplay of genes and adolescent development in substance use disorders: leveraging findings from GWAS meta-analyses to test developmental hypotheses about nicotine consumption
Vrieze, S. I., McGue, M. K., & Iacono, W. G. (2012) · Human Genetics · doi:10.1007/s00439-012-1167-1 · Cited by 47
Within-person associations between daily motivation and self-efficacy and drinking among problem drinkers in treatment.
Morgenstern, J., Kuerbis, A., Houser, J., Muench, F. J., Shao, S., & Padovano, H. T. (2016) · Psychology of Addictive Behaviors · doi:10.1037/adb0000204 · Cited by 48
Association of genetic variants with coronary artery disease and ischemic stroke in a longitudinal population-based genetic epidemiological study
Yamada, Y., Matsui, K., Takeuchi, I., & Fujimaki, T. (2015) · Biomedical Reports · doi:10.3892/br.2015.440 · Cited by 51
Global pattern of trends in incidence, mortality, and mortality-to-incidence ratio rates related to liver cancer, 1990–2019: a longitudinal analysis based on the global burden of disease study
Amini, M., Looha, M. A., Zarean, E., & Pourhoseingholi, M. A. (2022) · BMC Public Health · doi:10.1186/s12889-022-12867-w · Cited by 48
Parental guided self‐help family based treatment for adolescents with anorexia nervosa: A feasibility study
Lock, J., Darcy, A. M., Fitzpatrick, K. K., Vierhile, M., & Sadeh‐Sharvit, S. (2017) · International Journal of Eating Disorders · doi:10.1002/eat.22733 · Cited by 48
Personality Traits Moderate the Effect of Workload Sources on Perceived Workload in Flying Column Police Officers
Chiorri, C., Garbarino, S., Bracco, F., & Magnavita, N. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01835 · Cited by 55
A Randomized Controlled Trial of the Impact of a Family-Based Adolescent Depression Intervention on both Youth and Parent Mental Health Outcomes
Poole, L. A., Knight, T., Toumbourou, J. W., Lubman, D. I., Bertino, M. D., & Lewis, A. J. (2017) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-017-0292-7 · Cited by 46
Lack of Associations between Female Hormone Levels and Visuospatial Working Memory, Divided Attention and Cognitive Bias across Two Consecutive Menstrual Cycles
Leeners, B., Kruger, T. H., Geraedts, K., Tronci, E., Mancini, T., Ille, F., Egli, M., Röblitz, S., Saleh, L., Spanaus, K., et al. (2017) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00120 · Cited by 54
Influence of study abroad factors on international research collaboration: evidence from higher education academics in sub-Saharan Africa
Eduan, W. (2017) · Studies in Higher Education · doi:10.1080/03075079.2017.1401060 · Cited by 46
A stepped-wedge randomized trial investigating the effect of the Leadership and Organizational Change for Implementation (LOCI) intervention on implementation and transformational leadership, and implementation climate
Skar, A. S., Braathu, N., Peters, N., Bækkelund, H., Endsjø, M., Babaii, A., Borge, R. H., Wentzel‐Larsen, T., Ehrhart, M. G., Sklar, M., et al. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-07539-9 · Cited by 55
Longitudinal diet quality is not associated with depressive symptoms in a cohort of middle-aged Australian women
Lai, J. S., Oldmeadow, C., Hure, A. J., McEvoy, M., Byles, J., & Attia, J. (2016) · British Journal of Nutrition · doi:10.1017/s000711451500519x · Cited by 45
Five population-based interventions for smoking cessation: a MOST trial
Fraser, D. L., Kobinsky, K. H., Smith, S. S., Kramer, J., Theobald, W. E., & Baker, T. B. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-014-0278-8 · Cited by 45
Sustainability of treatment effect of a 3-year early intervention programme for first-episode psychosis
Chang, W. C., Kwong, V. W. Y., Lau, E. S. K., So, H., Wong, C. S. M., Chan, G. H. K., Jim, O. T. T., Hui, C. L. M., Chan, S. K. W., Lee, E. H. M., et al. (2017) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.117.198929 · Cited by 45
Comparing daily drivers of problem drinking among older and younger adults: An electronic daily diary study using smartphones
Kuerbis, A., Padovano, H. T., Shao, S., Houser, J., Muench, F. J., & Morgenstern, J. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.11.012 · Cited by 44
Consequences from use of reminiscence - a randomised intervention study in ten Danish nursing homes
Gudex, C. M., Horsted, C. P., Jensen, A. M., Kjer, M., & Sørensen, J. R. (2010) · BMC Geriatrics · doi:10.1186/1471-2318-10-33 · Cited by 43
Sarcopenia is associated with disability status—results from the KORA-Age study
Phillips, A., Strobl, R., Vogt, S., Ladwig, K., Thorand, B., & Grill, E. (2017) · Osteoporosis International · doi:10.1007/s00198-017-4027-y · Cited by 47
Working memory over a six-year period in young binge drinkers
Carbia, C., Cadaveira, F., López‐Caneda, E., Caamaño‐Isorna, F., Holguı́n, S. R., & Corral, M. (2017) · Alcohol · doi:10.1016/j.alcohol.2017.01.013 · Cited by 43
Strengthening mental health and research training in Sub-Saharan Africa (SMART Africa): Uganda study protocol
Ssewamala, F. M., Bahar, O. S., McKay, M. M., Hoagwood, K., Huang, K., & Pringle, B. (2018) · Trials · doi:10.1186/s13063-018-2751-z · Cited by 46
Association of Full Breastfeeding Duration with Postpartum Weight Retention in a Cohort of Predominantly Breastfeeding Women
Tahir, M. J., Haapala, J. L., Foster, L., Duncan, K. M., Teague, A., Kharbanda, E. O., McGovern, P., Whitaker, K., Rasmussen, K., Fields, D., et al. (2019) · Nutrients · doi:10.3390/nu11040938 · Cited by 36
Members of the public in the USA, UK, Canada and Australia expressing genetic exceptionalism say they are more willing to donate genomic data
on behalf of the Participant Values Work Stream of the Global Alliance for Genomics and Health, Middleton, A., Milne, R., Howard, H. C., Niemiec, E., Robarts, L., Critchley, C. R., Nicol, D., Prainsack, B., Atutornu, J., et al. (2019) · European Journal of Human Genetics · doi:10.1038/s41431-019-0550-y · Cited by 42
Potenziell inadäquate Medikamente bei älteren hausärztlich versorgten Patientinnen und Patienten
AgeCoDe-Study Group, Zimmermann, T. P., Kaduszkiewicz, H., van den Bussche, H., Schön, G., Brettschneider, C., König, H. ‐., Wiese, B., Bickel, H., Mösch, E., et al. (2013) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-013-1767-5 · Cited by 42
Depressive Symptoms and Memory Performance Among Older Adults
Lohman, M. C., Rebok, G. W., Spira, A. P., Parisi, J. M., Gross, A. L., & Kueider‐Paisley, A. (2012) · Journal of Aging and Health · doi:10.1177/0898264312460573 · Cited by 43
Benefits Gained, Benefits Lost: Comparing Baby Boomers to Other Generations in a Longitudinal Cohort Study of Self‐Rated Health
Badley, E. M., Cañizares, M., Perruccio, A. V., Hogg‐Johnson, S., & Gignac, M. A. M. (2015) · Milbank Quarterly · doi:10.1111/1468-0009.12105 · Cited by 55
Associations between frequency of cigarette and alternative tobacco product use and depressive symptoms: A longitudinal study of young adults
Marsden, D., Loukas, A., Chen, B., Perry, C. L., & Wilkinson, A. V. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.106078 · Cited by 45
The impact of metabolic syndrome on mental health-related quality of life and depressive symptoms
Limon, V. M., Lee, M., Gonzalez, B., Choh, A. C., & Czerwinski, S. A. (2020) · Quality of Life Research · doi:10.1007/s11136-020-02479-5 · Cited by 45
Longitudinal Assessment of Intellectual Abilities of Children With Williams Syndrome: Multilevel Modeling of Performance on the Kaufman Brief Intelligence Test—Second Edition
Mervis, C. Β., Kistler, D. J., Thurman, A. J., & Morris, C. A. (2012) · American Journal on Intellectual and Developmental Disabilities · doi:10.1352/1944-7558-117.2.134 · Cited by 43
Mental health difficulties and suicidal behaviours among young migrants: multicentre study of European adolescents
McMahon, E. M., Corcoran, P. E., Keeley, H., Cannon, M. D., Carli, V., Wasserman, C., Sarchiapone, M., Apter, A. S., Balázs, J., Banzer, R., et al. (2017) · BJPsych Open · doi:10.1192/bjpo.bp.117.005322 · Cited by 41
The impact of menopause on functional status in women with rheumatoid arthritis
Mollard, E. K., Pedro, S., Chakravarty, E. F., Clowse, M. E. B., Schumacher, R., & Michaud, K. D. (2018) · Lara D. Veeken · doi:10.1093/rheumatology/kex526 · Cited by 41
A systematic review of the quality of statistical methods employed for analysing quality of life data in cancer randomised controlled trials
Hamel, J., Saulnier, P., Pe, M. L., Zikos, E., Musoro, J. Z., Coens, C., & Bottomley, A. (2017) · European Journal of Cancer · doi:10.1016/j.ejca.2017.06.025 · Cited by 40
Hemoglobin A1c Level and Cardiovascular Disease Incidence in Persons With Type 1 Diabetes: An Application of Joint Modeling of Longitudinal and Time-to-Event Data in the Pittsburgh Epidemiology of Diabetes Complications Study
Miller, R. G., Anderson, S., Costacou, T., Sekikawa, A. M., & Orchard, T. J. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx386 · Cited by 40
Experimental Comparison of Efficacy for Three Handfeeding Techniques in Dementia
Batchelor‐Murphy, M., McConnell, E. S., Amella, E. J., Anderson, R. A., Bales, C. W., Silva, S. G., Barnes, A. H., Beck, C. K., & Colon-Emeric, C. S. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14728 · Cited by 40
The efficacy of an opportunistic cognitive behavioral intervention package (OCB) on substance use and comorbid suicide risk: A multisite randomized controlled trial.
Morley, K. C., Sitharthan, G., Haber, P. S., Tucker, P., & Sitharthan, T. (2014) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0035310 · Cited by 39
Chronic pain in children and adolescents: 24–42 month outcomes of an inpatient/day hospital interdisciplinary pain rehabilitation program
Banez, G. A., Frazier, T. W., Wojtowicz, A. A., Buchannan, K., Henry, D. E., & Benore, E. R. (2014) · Journal of Pediatric Rehabilitation Medicine · doi:10.3233/prm-140289 · Cited by 39
Patient-Centered Care Transitions After Injury Hospitalization: A Comparative Effectiveness Trial
Zatzick, D., Russo, J. E., Thomas, P., Darnell, D. A., Teter, H., Ingraham, L. M., Whiteside, L., Wang, J., Guiney, R., Parker, L. E., et al. (2018) · Psychiatry · doi:10.1080/00332747.2017.1354621 · Cited by 39
Subjective cannabis effects as part of a developing disorder in adolescents and emerging adults.
Padovano, H. T., & Miranda, R. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000342 · Cited by 38
Sober living house characteristics: A multilevel analyses of factors associated with improved outcomes
Mericle, A. A., Mahoney, E., Korcha, R. A., Delucchi, K., & Polcin, D. L. (2018) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2018.12.004 · Cited by 39
Models for the analysis of repeated continuous outcome measures in clinical trials
Livera, A. M. D., Zaloumis, S. G., & Simpson, J. A. (2013) · Respirology · doi:10.1111/resp.12217 · Cited by 37
A Matched Control Trial of a Mental Health Literacy Intervention for Parents in Community Sports Clubs
Hurley, D., Allen, M. S., Swann, C., & Vella, S. A. (2020) · Child Psychiatry & Human Development · doi:10.1007/s10578-020-00998-3 · Cited by 37
Online Obsessive-Compulsive Disorder Treatment: Preliminary Results of the “OCD? Not Me!” Self-Guided Internet-Based Cognitive Behavioral Therapy Program for Young People
Rees, C. S., Anderson, R., Kane, R. T., & Finlay‐jones, A. L. (2016) · JMIR Mental Health · doi:10.2196/mental.5363 · Cited by 39
Prevalence of childhood stunting and determinants in low and lower-middle income African countries: Evidence from standard demographic and health survey
Tamir, T. T., Gezhegn, S. A., Dagnew, D., Mekonenne, A. T., Aweke, G. T., & Lakew, A. M. (2024) · PLoS ONE · doi:10.1371/journal.pone.0302212 · Cited by 36

Authors: Gibbons, R. D., Hedeker, D., & DuToit, S.
Affiliations: University of Illinois Chicago (US)
ORCID: Gibbons, Robert D.
Hedeker, Donald
Venue: Annual Review of Clinical Psychology
Publisher: Annual Reviews
Published: 2010-03-01
Volume: 6
Issue: 1
Pages: 79-107
ISSN: 1548-5943 (ISSN-L)
1548-5951
DOI: 10.1146/annurev.clinpsy.032408.153550
PMC: PMC2971698
OpenAlex: W2113413884
Cited by: 452
References: 75
Citations by year: 2026: 16 · 2025: 26 · 2024: 35 · 2023: 28 · 2022: 26 · 2021: 40 · 2020: 30 · 2019: 32 · 2018: 48 · 2017: 57 · 2016: 30 · 2015: 24 · 2014: 21 · 2013: 15 · 2012: 17
FWCI: 1.75
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Annual Review of Clinical Psychology (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (n44mh32056-10-0-1)
National Institute of Mental Health (R01 MH8012201, N44 MH032056, R01MH080122)
National Cancer Institute (P01CA098262, 5P01CA98262)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agriculture, Soil, Plant Science
Keywords: longitudinal analysis, nonlinear mixed-effects models, generalized estimating equations, categorical outcomes, count data, Poisson regression, multilevel models, multivariate outcomes, design weights
MeSH terms: Humans, Longitudinal Studies, Models, Psychological, Psychology, Clinical

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Advances in Analysis of Longitudinal Data

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks