The DOI matches its Crossref record; 28 of the 30 references it cites were found in a registry or an index.
Modelling recurrent events: a tutorial for analysis in epidemiology
Open accessAbstract
In many biomedical studies, the event of interest can occur more than once in a participant. These events are termed recurrent events. However, the majority of analyses focus only on time to the first event, ignoring the subsequent events. Several statistical models have been proposed for analysing multiple events. In this paper we explore and illustrate several modelling techniques for analysis of recurrent time-to-event data, including conditional models for multivariate survival data (AG, PWP-TT and PWP-GT), marginal means/rates models, frailty and multi-state models. We also provide a tutorial for analysing such type of data, with three widely used statistical software programmes. Different approaches and software are illustrated using data from a bladder cancer project and from a study on lower respiratory tract infection in children in Brazil. Finally, we make recommendations for modelling strategy selection for analysis of recurrent event data.
Overview
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
Cites
Statistics
Verification
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?
In the citing paper
“This stratified approach enables each event recurrence to have a distinct baseline hazard and is recommended when occurrence of the first event increases the likelihood of subsequent events.31”
From Factors associated with recurrent emergency department visits among people living with dementia: A retrospective cohort study (2023) · cites this paper as [31]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Modeling Survival Data: Extending the Cox Model
Therneau, T. M., & Grambsch, P. M. (2000) · Statistics for Biology and Health · doi:10.1007/978-1-4757-3294-8 · Cited by 8,674
Cox’s regression model for counting processes: A large sample study
Andersen, P. K., & Gill, R. D. (1982) · The Annals of Statistics · doi:10.1214/aos/1176345976 · Cited by 4,419
Regression analysis of multivariate incomplete failure time data by modeling marginal distributions
Wei, L. J., Lin, D. Y., & Weissfeld, L. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478873 · Cited by 1,868
On the regression analysis of multivariate failure time data
Prentice, R., Williams, B., & Peterson, A. V. (1981) · Biometrika · doi:10.1093/biomet/68.2.373 · Cited by 1,362
Semiparametric regression for the mean and rate functions of recurrent events
Lin, D. Y., Wei, L. J., Yang, I., & Ying, Z. (2000) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00259 · Cited by 969
The Statistical Analysis of Recurrent Events
Cook, R. J., & Lawless, J. F. (2007) · Springer eBooks · doi:10.1007/978-0-387-69810-6 · Cited by 735
Multi-state models for event history analysis
Andersen, P. K., & Keiding, N. (2002) · Statistical Methods in Medical Research · doi:10.1191/0962280202sm276ra · Cited by 631
Multi-state models for the analysis of time-to-event data
Meira‐Machado, L., de Uña‐Álvarez, J., Cadarso-Suárez, C., & Andersen, P. K. (2008) · Statistical Methods in Medical Research · doi:10.1177/0962280208092301 · Cited by 570
PEPE, M. S., & Cai, J. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476346 · Cited by 302
Self-citation
Research works printed but not linked: 4
- SAS Institute, SAS/STAT Software
- STATACorp, 2010, Stata Statistical Software: Release 11.0
- R Development Core Team, 2012, R: A Language and Environment for Statistical Computing. Vienna
- Gharibvand L, Liu L, 2009, Analysis of survival data with clustered events. Paper 237
Cited by
Sorted by citations
Items 101–200 of 564
Dijkstra, H., & Ghassim, F. (2024) · The Review of International Organizations · doi:10.1007/s11558-024-09557-0 · Cited by 24
Thomas, A., Silver, S. A., Perl, J. M., Freeman, M., Slater, J., Nash, D. M., Vinegar, M., McArthur, E., Garg, A. X., Harel, Z., et al. (2019) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2019.08.016 · Cited by 21
Oswald, L., & Bright, J. (2022) · Environmental Communication · doi:10.1080/17524032.2022.2071314 · Cited by 32
Basu, B., Erdmann, S., Sander, A., Mahapatra, T. K. S., Meis, J., & Schaefer, F. S. (2023) · Kidney International Reports · doi:10.1016/j.ekir.2023.05.022 · Cited by 21
Han, L., Hudgens, M. G., Emch, M., Juliano, J. J., Keeler, C., Martinson, F. E. A., Kamthunzi, P., Tegha, G., Lievens, M., & Hoffman, I. (2017) · Scientific Reports · doi:10.1038/s41598-017-07533-w · Cited by 24
van Dijkhuizen, E. H. P., Aidonopoulos, O., ter Haar, N. M., Marafon, D. P., Magni‐Manzoni, S., Ioannidis, Y., Putignani, L., Vastert, S. J., Malattia, C., Benedetti, F. D., et al. (2018) · Lara D. Veeken · doi:10.1093/rheumatology/key148 · Cited by 20
Hines, P. C., Callaghan, M. U., Zaidi, A. U., Gao, X., Liu, K., White, J. U., & Tarasev, M. (2021) · British Journal of Haematology · doi:10.1111/bjh.17643 · Cited by 21
Hull, M. C., Reynolds, P. S., & Nunamaker, E. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0263192 · Cited by 20
Heindel, P. V., Fitzgibbon, J. J., Feliz, J. D., Hentschel, D. M., Burke, S. K., Al-Omran, M. A., Bhatt, D. L., Belkin, M., Ozaki, C. K., & Hussain, M. A. (2022) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2022.12.017 · Cited by 20
Six-Minute walk distance predicts outcomes in liver transplant candidates
Cox, K., Moutchia, J., Krowka, M. J., Al‐Naamani, N., Fallon, M. B., DuBrock, H. M., Forde, K. A., Krok, K. L., Doyle, M. F., Kawut, S. M., et al. (2023) · Liver Transplantation · doi:10.1097/lvt.0000000000000071 · Cited by 20
Hwang, H., Coss, M. D., Loewen, S., & Tagarelli, K. M. (2024) · Studies in Second Language Acquisition · doi:10.1017/s0272263124000354 · Cited by 24
Bayesian Survival Approach to Analyzing the Risk of Recurrent Rail Defects
Ghofrani, F., He, Q., Mohammadi, R., Pathak, A., & Aref, A. J. (2019) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/0361198119844241 · Cited by 20
Bright, J., Marchal, N., Ganesh, B., & Rudinac, S. (2021) · Human Communication Research · doi:10.1093/hcr/hqab020 · Cited by 41
Hovaguimian, F., Kouyos, R. D., Kusejko, K., Schmidt, A. J., TARR, P. E., Bernasconi, E., Braun, D. L., Calmy, A., Notter, J., Stoeckle, M. P., et al. (2023) · HIV Medicine · doi:10.1111/hiv.13543 · Cited by 19
Marchal, N., Hoes, E., Klüser, K. J., Hamborg, F., Alizadeh, M., Kubli, M., & Katzenbach, C. (2024) · Political Communication · doi:10.1080/10584609.2024.2377992 · Cited by 27
Recurrence of Maltreatment After Newborn Home Visiting: A Randomized Controlled Trial
Easterbrooks, M. A., Kotake, C., & Fauth, R. C. (2019) · American Journal of Public Health · doi:10.2105/ajph.2019.304957 · Cited by 19
Araghi, S. O., Jong, J. C. K., van Dijk, S. C., Swart, K. M. A., Ploegmakers, K. J., Zillikens, M. C., van Schoor, N. M., de Groot, C. P. G. M., Lips, P. T. A. M., Stricker, B. H. C., et al. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.07.033 · Cited by 19
Impact of multi-disciplinary treatment strategy on systolic heart failure outcome
Chen, S., Fang, Y., Wang, L.-Y., Wu, M., Wu, P., Yang, T., Chen, Y., & Hang, C. (2019) · BMC Cardiovascular Disorders · doi:10.1186/s12872-019-1214-0 · Cited by 19
Dumot, C., Mantziaris, G., Dayawansa, S., Xu, Z., Pikis, S., Peker, S., Samancı, Y., Ardor, G. D., Nabeel, A. M., Reda, W. A. H., et al. (2023) · Stroke and Vascular Neurology · doi:10.1136/svn-2023-002380 · Cited by 18
Spagnuolo, V., Poli, A., Galli, L., Nozza, S., Bossolasco, S., Cernuschi, M., Maillard, M., Hasson, H., Gianotti, N., Guffanti, M., et al. (2018) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofy324 · Cited by 18
Fortanier, A. C., Venekamp, R. P., Hoes, A. W., & Schilder, A. G. (2019) · Vaccine · doi:10.1016/j.vaccine.2019.01.064 · Cited by 18
Impact of model misspecification in shared frailty survival models
Gasparini, A., Clements, M. S., Abrams, K. R., & Crowther, M. J. (2019) · Statistics in Medicine · doi:10.1002/sim.8309 · Cited by 18
Stenz, N. A., Stampf, S., Arnold, A., Cozzio, A., Dickenmann, M., Gaide, O., Harms, M., Hunger, R. E., Laffitte, E., Mühlstädt, M., et al. (2020) · Dermatology · doi:10.1159/000510685 · Cited by 19
A multi-state model for kidney disease progression
Lintu, M. K., Shreyas, K. M., & Kamath, A. (2021) · Clinical Epidemiology and Global Health · doi:10.1016/j.cegh.2021.100946 · Cited by 17
Naito, R., Miyauchi, K., Yasuda, S., Kaikita, K., Akao, M., Ako, J., Matoba, T., Nakamura, M., Hagiwara, N., Kimura, K., et al. (2022) · JAMA Cardiology · doi:10.1001/jamacardio.2022.1561 · Cited by 17
Epidemiology of repeat influenza infection in Queensland, Australia, 2005–2017
Price, O. H., Birrell, F., Mifsud, E. J., & Sullivan, S. G. (2022) · Epidemiology and Infection · doi:10.1017/s0950268822001157 · Cited by 17
Astley, M. E., Caskey, F. J., Evans, M., Torino, C., Szymczak, M., Drechsler, C., Pippias, M., de Rooij, E. N. M., Porto, G., Stel, V. S., et al. (2023) · Clinical Kidney Journal · doi:10.1093/ckj/sfad088 · Cited by 17
Using AI and Behavioral Finance to Cope with Limited Attention and Reduce Overdraft Fees
Ben-David, D., Mintz, I., & Sade, O. (2025) · Management Science · doi:10.1287/mnsc.2022.00304 · Cited by 17
Zaleski, M. P., Gogoj, A., Walter, V., Raman, J. D., Kaag, M. G., Merrill, S. B., Drabick, J. J., Joshi, M., Holder, S. L., DeGraff, D. J., et al. (2018) · Human Pathology · doi:10.1016/j.humpath.2018.10.008 · Cited by 17
Deo, S. V., Sundaram, V., Sahadevan, J., Selvaganesan, P., Mohan, S. K. M., Rubelowsky, J. J., Josephson, R., Elgudin, Y. E., Kılıç, A., & CMOLIK, B. L. (2021) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2021.01.035 · Cited by 17
Chen, L. W., Lina, I. A., Motz, K., Berges, A. J., Ospino, R., Seo, P., & Hillel, A. T. (2021) · Otolaryngology · doi:10.1177/01945998211004264 · Cited by 16
Ogilvie, J., Tzoumakis, S., Thompson, C., Allard, T. J., Dennison, S. M., Kisely, S. R., & Stewart, A. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-04839-0 · Cited by 16
Zhang, J., Lim, Y., So, R., Mortensen, L. H., Napolitano, G. M., Cole‐Hunter, T., Tuffier, S., Bergmann, M. L., Marić, M., Shahri, S. M. T., et al. (2024) · Annals of the American Thoracic Society · doi:10.1513/annalsats.202401-074oc · Cited by 16
Ferry, N., Dupont, P. P. A., Bender, A., & Heurich, M. (2024) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.14338 · Cited by 16
Løhmann, D. J. A., Asdahl, P. H., Abrahamsson, J., Ha, S., Jónsson, Ó. G., Kaspers, G. J. L., Koskenvuo, M., Lausen, B., Moerloose, B. D., Palle, J., et al. (2018) · Pediatric Blood & Cancer · doi:10.1002/pbc.27231 · Cited by 16
Genetic predictors of chemotherapy-related amenorrhea in women with breast cancer
Ruddy, K. J., Schaid, D. J., Partridge, A. H., Larson, N. B., Batzler, A. J., Häberle, L., Dittrich, R., Widschwendter, P., Fink, V., Bauer, E. C. A., et al. (2019) · Fertility and Sterility · doi:10.1016/j.fertnstert.2019.05.018 · Cited by 16
Sample size calculation for the Andersen‐Gill model comparing rates of recurrent events
Tang, Y., & Fitzpatrick, R. (2019) · Statistics in Medicine · doi:10.1002/sim.8335 · Cited by 16
Kandane‐Rathnayake, R., Kent, J. R., Louthrenoo, W., Luo, S.-F., Wu, Y. J., Lateef, A., Golder, V., Sockalingam, S., Navarra, S. A., Zamora, L. D., et al. (2019) · Lupus · doi:10.1177/0961203319887799 · Cited by 16
Morton, J. I., Ilomäki, J., Wood, S. J., Bell, J. S., Shaw, J. E., & Magliano, D. J. (2022) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2022.120149 · Cited by 16
Risk of Cystoid Macular Edema after Cataract Surgery in Retinitis Pigmentosa
Antonio‐Aguirre, B., Swenor, B. K., Canner, J. K., & Singh, M. S. (2022) · Ophthalmology Retina · doi:10.1016/j.oret.2022.04.018 · Cited by 16
Recurrent events analysis with piece-wise exponential additive mixed models
Ramjith, J., Bender, A., Roes, K. C. B., & Jonker, M. A. (2022) · Statistical Modelling · doi:10.1177/1471082x221117612 · Cited by 16
Heesterman, B. L., de Pont, L. M. H., van der Mey, A. G. L., Bayley, J., Corssmit, E. P. M., Hes, F. J., Verbist, B. M., van Benthem, P. P. G., & Jansen, J. C. (2018) · European Journal of Human Genetics · doi:10.1038/s41431-018-0116-4 · Cited by 16
Asset Management, Reliability and Prognostics Modeling Techniques
Payette, M., & Abdul-Nour, G. (2023) · Sustainability · doi:10.3390/su15097493 · Cited by 15
Tang, G. H. L., Verma, S., & Bhatt, D. L. (2019) · JAMA Cardiology · doi:10.1001/jamacardio.2019.0204 · Cited by 15
Broersen, L. H. A., van Haalen, F. M., Kienitz, T., Dekkers, O. M., Strasburger, C. J., Pereira, A. M., & Biermasz, N. R. (2019) · European Journal of Endocrinology · doi:10.1530/eje-19-0202 · Cited by 15
Harkko, J., Sumanen, H., Pietiläinen, O. P. H., Piha, K., Mänty, M., Lallukka, T. M., Rahkonen, O., & Kouvonen, A. M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17062064 · Cited by 15
Outcomes of Integrated Home Dialysis Care: Results From the Canadian Organ Replacement Register
Desbiens, L., Tennankore, K., Goupil, R., Perl, J. M., Trinh, E., Chan, C. T., & Nadeau‐Fredette, A. (2023) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2023.05.011 · Cited by 14
Childhood injury after a parental cancer diagnosis
Chen, R., Wallin, A. R., Sjölander, A., Valdimarsdóttir, U. A., Ye, W., Tiemeier, H. W., Fall, K., Almqvist, C., Czene, K., & Fang, F. (2015) · eLife · doi:10.7554/elife.08500 · Cited by 14
Limitations of the incidence density ratio as approximation of the hazard ratio
Bender, R., & Beckmann, L. (2019) · Trials · doi:10.1186/s13063-019-3590-2 · Cited by 14
Chen, H., Wang, S., Wu, S.-J., Lee, C.-S., Fetzer, S. J., & Tsai, L.-M. (2020) · Journal of Nursing Research · doi:10.1097/jnr.0000000000000395 · Cited by 14
Vonasek, J. H., Asdahl, P. H., Heyman, M. M., Källén, K., & Hasle, H. (2018) · Pediatric Blood & Cancer · doi:10.1002/pbc.27249 · Cited by 14
Statistical Approaches to Composite Endpoints
Weintraub, W. S. (2016) · JACC: Cardiovascular Interventions · doi:10.1016/j.jcin.2016.08.047 · Cited by 14
Systematic review of analytical methods applied to longitudinal studies of malaria
Stanley, C. C., Kazembe, L. N., Mukaka, M., Otwombe, K. N., Buchwald, A. G., Hudgens, M. G., Mathanga, D. P., Laufer, M. K., & Chirwa, T. F. (2019) · Malaria Journal · doi:10.1186/s12936-019-2885-9 · Cited by 13
Benefits of Incremental Hemodialysis Seen in a Historical Cohort Study
Chen, W., Wang, M., Zhang, M., Zhang, W., Shi, J., Weng, J., Huang, B., Kalantar‐Zadeh, K., & Chen, J. (2021) · Therapeutics and Clinical Risk Management · doi:10.2147/tcrm.s332218 · Cited by 13
Konnopka, C., Becker, B., Netsch, C., Herrmann, T., Gross, A. J., Lusuardi, L., Knoll, T. M., & König, H. (2022) · World Journal of Urology · doi:10.1007/s00345-022-04180-3 · Cited by 13
Clephas, P. R. D., Malgie, J., Schaap, J., Koudstaal, S., Emans, M. E., Linssen, G. C. M., de Boer, G. A., van Heerebeek, L., Borleffs, C. J. W., Manintveld, O. C., et al. (2023) · ESC Heart Failure · doi:10.1002/ehf2.14604 · Cited by 13
Alafchi, B., Roshanaei, G., Tapak, L., Abbasi, M., & Mahjub, H. (2021) · Scientific Reports · doi:10.1038/s41598-020-79969-6 · Cited by 13
Khomami, M. B., Earnest, A., Loxton, D. J., Teede, H. J., & Joham, A. E. (2021) · Clinical Endocrinology · doi:10.1111/cen.14451 · Cited by 13
Dai, R., Sag, A. A., Martin, J. G., Befera, N. T., Pabon‐Ramos, W. M., Suhocki, P. V., Smith, T. P., Kim, C., Muir, A. J., & Ronald, J. (2021) · Clinical Imaging · doi:10.1016/j.clinimag.2021.04.034 · Cited by 13
Menza, T. W., Berry, S. A., Dombrowski, J., Cachay, E. R., Dionne‐Odom, J., Christopoulos, K., Crane, H. M., Kitahata, M. M., & Mayer, K. H. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab944 · Cited by 13
Keiling, T. D., Louison, M. J., & Suski, C. D. (2020) · Fisheries Research · doi:10.1016/j.fishres.2020.105554 · Cited by 13
Visade, F., Babykina, G., Lamer, A., Defebvre, M.-M., Verloop, D., Ficheur, G., Génin, M., Puisieux, F. L., & Beuscart, J. (2020) · Age and Ageing · doi:10.1093/ageing/afaa139 · Cited by 13
Morton, J. I., Ilomäki, J., Wood, S. J., Bell, J. S., Huynh, Q. L., Magliano, D. J., & Shaw, J. E. (2022) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2021-218042 · Cited by 14
Secondary malignancies among mantle cell lymphoma patients
Abalo, K., Smedby, K. E. E., Ekberg, S., Eloranta, S., Pahnke, S., Albertsson‐Lindblad, A., Jerkeman, M., & Glimelius, I. C. (2023) · European Journal of Cancer · doi:10.1016/j.ejca.2023.113403 · Cited by 12
Lenoir, K. M., Paul, R., Wright, E., Palakshappa, D., Pajewski, N. M., Hanchate, A. D., Hughes, J. M., Gabbard, J., Wells, B. J., Dulin, M., et al. (2023) · Journal of General Internal Medicine · doi:10.1007/s11606-023-08503-x · Cited by 13
An Overview of Regression Models for Adverse Events Analysis
Coz, E., Fauvernier, M., & Maucort‐Boulch, D. (2023) · Drug Safety · doi:10.1007/s40264-023-01380-7 · Cited by 11
Heindel, P. V., Dey, T., Fitzgibbon, J. J., Mamdani, M., Hentschel, D. M., Belkin, M., Ozaki, C. K., & Hussain, M. A. (2023) · The Journal of Vascular Access · doi:10.1177/11297298231203356 · Cited by 12
Yamazaki, N., Misu, T., Matsumoto, Y., Takai, Y., Namatame, C., Ono, H., Kaneko, K., Nishiyama, S., Kuroda, H., Takahashi, T., et al. (2024) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2024.106176 · Cited by 12
Longitudinal associations of flare and damage accrual in patients with systemic lupus erythematosus
Kandane‐Rathnayake, R., Milea, D., Louthrenoo, W., Hoi, A. Y.-B., Golder, V., Cho, J., Lateef, A., Luo, S., Wu, Y. J., Hamijoyo, L., et al. (2025) · Lupus Science & Medicine · doi:10.1136/lupus-2024-001363 · Cited by 13
A generalized model for recurrent failures prediction
Yevkin, A., & Krivtsov, V. V. (2020) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2020.107125 · Cited by 12
Balakrishna, S., Wolfensberger, A., Kachalov, V. N., Roth, J. A., Kusejko, K., Scherrer, A., Furrer, H., Hauser, C., Calmy, A., Cavassini, M. L., et al. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab573 · Cited by 12
Chan, K. W., Smeijer, J. D., Schechter, M., Jongs, N., Vart, P., Kohan, D. E., Gansevoort, R. T., Liew, A., Tang, S. C. W., Wanner, C., et al. (2023) · Kidney International · doi:10.1016/j.kint.2023.08.014 · Cited by 12
Statistical primer: basics of survival analysis for the cardiothoracic surgeon†
Thuijs, D. J. F. M., Hickey, G. L., & Osnabrugge, R. L. J. (2018) · Interactive Cardiovascular and Thoracic Surgery · doi:10.1093/icvts/ivy010 · Cited by 12
Impact of model misspecification in shared frailty survival models.
Gasparini, A., Clements, M., Abrams, K. R., & Crowther, M. J. (2019) · Figshare · Cited by 12
Ruiz, J. G., Rodriguez-Suarez, M. M., Tang, F., Aparicio‐Ugarriza, R., Ferri‐Guerra, J., Mohammed, Y. N., & Mintzer, M. J. (2019) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5212 · Cited by 12
Munsch, G., Goumidi, L., Vlieg, A. V. H., Ibrahim‐Kosta, M., Bruzelius, M., Deleuze, J., Rosendaal, F. R., Jacqmin‐Gadda, H., Morange, P., & Trégouët, D. (2023) · BMC Medical Research Methodology · doi:10.1186/s12874-023-01915-7 · Cited by 11
Aparicio‐Ugarriza, R., Salguero, D., Mohammed, Y. N., Ferri‐Guerra, J., Baskaran, D., Mirabbasi, S. A., Rodríguez, A., & Ruiz, J. G. (2019) · Maturitas · doi:10.1016/j.maturitas.2019.11.005 · Cited by 11
Learning from a multidisciplinary randomized controlled intervention in retirement village residents
Bloomfield, K., Wu, Z., Broad, J., Tatton, A., Calvert, C., Hikaka, J., Boyd, M. L., Peri, K., Bramley, D. M., Higgins, A., et al. (2021) · Journal of the American Geriatrics Society · doi:10.1111/jgs.17533 · Cited by 11
Wijnands, A. M., Elias, S. G., Dekker, E., Fidder, H. H., Hoentjen, F., ten Hove, J. R., Maljaars, J., Jong, A. E. V. D. M., Mooiweer, E., Ouwehand, R. J., et al. (2023) · United European Gastroenterology Journal · doi:10.1002/ueg2.12426 · Cited by 10
Zhang, S., Chen, L., Qian, Z. M., Li, D., Cai, M., Wang, C., Zhang, Z., Vaughn, M. G., Keith, A. E., Li, H., et al. (2023) · Heart · doi:10.1136/heartjnl-2023-322682 · Cited by 11
van Zutphen, M., Beeren, I., Aben, K. K. H., van der Heijden, A. G., Witjes, J. A., Kiemeney, L. A. L. M., & Vrieling, A. (2023) · Cancer Medicine · doi:10.1002/cam4.6620 · Cited by 11
Kristensen, P., Corbett, K., Mehlum, I. S., & Bjérkedal, T. (2011) · Occupational and Environmental Medicine · doi:10.1136/oemed-2011-100144 · Cited by 12
Jochems, S. H. J., van Osch, F., Reulen, R. C., van Hensbergen, M., Nekeman, D., Pirrie, S. J., Wesselius, A., van Schooten, F., James, N. D., Wallace, D. M. A., et al. (2018) · Bladder Cancer · doi:10.3233/blc-180172 · Cited by 11
Ninety-Day Readmissions of Bundled Valve Patients: Implications for Healthcare Policy
Koeckert, M. S., Grossi, E. A., Vining, P. F., Abdallah, R., Williams, M. R., Kalkut, G., Loulmet, D. F., Zias, E. A., Querijero, M., & Galloway, A. C. (2018) · Seminars in Thoracic and Cardiovascular Surgery · doi:10.1053/j.semtcvs.2018.07.017 · Cited by 11
Peacock, A., Chiu, V., Leung, J., Dobbins, T., Larney, S., Gisev, N., Pearson, S., & Degenhardt, L. J. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-030605 · Cited by 11
Random Forest Modeling for Survival Analysis of Cancer Recurrences
Imani, F., Chen, R., Tucker, C. S., & Yang, H. Y. (2019) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/coase.2019.8843271 · Cited by 11
Runesson, B., Xu, Y., Qureshi, A. R., Lindholm, B., Barany, P. F., Elinder, C. G., & Carrero, J. J. (2020) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14051 · Cited by 11
Smith, L., Glaser, A., Greenwood, D. C., & Feltbower, R. G. (2020) · Cancer Epidemiology · doi:10.1016/j.canep.2020.101711 · Cited by 11
Bergman, J. C., Tennankore, K., & Vinson, A. J. (2020) · Clinical Transplantation · doi:10.1111/ctr.14007 · Cited by 11
Matino, D., Iorio, A., Keepanasseril, A., Germini, F., Caillaud, A., Carcao, M. D., Hews‐Girard, J., Iserman, E. C., James, P., Lee, A., et al. (2022) · Research and Practice in Thrombosis and Haemostasis · doi:10.1002/rth2.12661 · Cited by 11
Using survival analysis to predict septic shock onset in ICU patients
Dummitt, B., Zeringue, A., Palagiri, A. V., Veremakis, C., Burch, B., & Yount, B. W. (2018) · Journal of Critical Care · doi:10.1016/j.jcrc.2018.08.041 · Cited by 12
Abdalla, T., Preen, D. B., Pole, J. D., Walwyn, T. S., Bulsara, M. K., Ives, A. D., Choong, C. S., & Ohan, J. L. (2024) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/00048674241233871 · Cited by 10
Bouaziz, O., Courtin, D., Cottrell, G., Milet, J., Nuel, G., & Garcia, A. (2017) · Clinical Infectious Diseases · doi:10.1093/cid/cix899 · Cited by 10
Sample attrition analysis in a prospective cohort study of medical graduates in China
Li, M., Wang, Z., Zhang, B., Wei, T., Hu, D., & Liu, X. (2022) · BMC Medical Research Methodology · doi:10.1186/s12874-021-01498-1 · Cited by 10
Does substance use disorder treatment completion reduce the risk of treatment readmission in Chile?
Maturana, J. A. R.-T., Cruz, A. G., Rocha‐Jiménez, T., & Castillo‐Carniglia, Á. (2023) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2023.109907 · Cited by 10
Checking for Updates: Ratification, Design, and Institutional Adaptation
Laurens, N., Hollway, J., & Morin, J. (2023) · International Studies Quarterly · doi:10.1093/isq/sqad049 · Cited by 10
Asada, S., Yoshida, K., Fukuma, S., Nomura, T., Wada, M., Ônishi, Y., Kurita, N., Fukagawa, M., Fukuhara, S., & Akizawa, T. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216399 · Cited by 10
Lyons, V. H., Kernic, M. A., Rowhani‐Rahbar, A., Holt, V. L., & Carone, M. (2019) · Injury Epidemiology · doi:10.1186/s40621-019-0215-x · Cited by 10
Vinson, A. J., Bartolacci, J., Goldstein, J., Swain, J., Clark, D. A., & Tennankore, K. (2019) · Prehospital Emergency Care · doi:10.1080/10903127.2019.1701157 · Cited by 10
Impact of bleeding during dual antiplatelet therapy in patients with coronary artery disease
Tung, Y., See, L., Chang, S., Liu, J., Kuo, C.-T., & Chang, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-78400-4 · Cited by 10
Metadata
- Authors
- Amorim, L. D., & Cai, J.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- ORCID
- Cai, Jianwen
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-12-09
- Volume
- 44
- Issue
- 1
- Pages
- 324-333
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC4339761
- OpenAlex
- W2102630933
- Cited by
- 564
- References
- 30
- Citations by year
- 2026: 57 · 2025: 84 · 2024: 53 · 2023: 76 · 2022: 63 · 2021: 58 · 2020: 53 · 2019: 58 · 2018: 33 · 2017: 13 · 2016: 10 · 2015: 5
- FWCI
- 9.87
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Journal of Epidemiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- National Institutes of Health (CA 142538)
- U.S. Public Health Service (ULIRR025747)
- National Cancer Institute (P01CA142538)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- recurrent events, multivariate survival models, frailty models, multi-state models, bladder cancer
- MeSH terms
- Algorithms, Data Interpretation, Statistical, Epidemiologic Methods, Humans, Models, Statistical, Bias, Epidemiologic Studies
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
