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Supporting materials

Key Concepts Underlying Survival Analysis
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Descriptive Statistics for Survival Analysis
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Modelling Discrete Time Event Occurrence
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Recommended reading

  • Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis : Modeling change and event occurrence. Oxford: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195152968.001.0001
  • Flores, A. (2022). Survival Analysis. The SAGE Encyclopedia of Research Design. https://doi.org/10.4135/9781412961288.n450.
  • Hanson, R. K. (2022). Discrete-time survival analysis. In Prediction statistics for psychological assessment (pp. 63–80). American Psychological Association. https://doi.org/10.1037/0000275-005
  • Hosmer, D., May, S., & Lemeshow, S. (2008). Applied Survival Analysis: Regression Modeling of Time to Event Data (2nd Edition). Wiley-Interscience. https://doi.org/10.1002/9780470258019
  • Smilauer, P., & Leps, J. (2020). Survival Analysis. In Biostatistics with R (pp. 290–302). Cambridge University Press. https://doi.org/10.1017/9781108616041.020
  • Zelterman, D. (2022). Survival Analysis. In Regression for Health and Social Science: Applied Linear Models with R (pp. 233–244). Cambridge: Cambridge University Press. https://doi.org/10.1017/9781108784504.012
  • Jang, W., Kwon, K., & Horm, D. (2024). The Role of Language and Literacy Skills in Science Learning from Kindergarten to 5th Grade: Mitigating Gender, Racial/Ethnic, and Socio-Economic Disparities. Education Sciences. https://doi.org/10.3390/educsci14090994.
  • Liming, K., Brook, J., & Akin, B. (2021). Cumulative adverse childhood experiences among children in foster care and the association with reunification: A survival analysis.. Child Abuse & Neglect, 113, 104899 . https://doi.org/10.1016/j.chiabu.2020.104899.
  • Chan, J. W., Lam, S. P., Li, S. X., Chau, S. W., Chan, S. Y., Chan, N. Y., Zhang, J. H., & Wing, Y. K. (2022). Adjunctive bright light treatment with gradual advance in unipolar major depressive disorder with evening chronotype - A randomized controlled trial. Psychological Medicine, 52(8), 1448–1457. https://doi.org/10.1017/S0033291720003232
  • Naifeh, J., Ursano, R., Stein, M., Mash, H., Aliaga, P., Fullerton, C., Dinh, H., Kao, T., Sampson, N., & Kessler, R. (2022). Association of Premilitary Mental Health With Suicide Attempts During US Army Service. JAMA Network Open, 5. https://doi.org/10.1001/jamanetworkopen.2022.14771.
  • Oliveira, J., Paixão, V., Cardoso, G., Xavier, M., De Almeida, J., & Oliveira-Maia, A. (2021). Childhood adversities and the comorbidity between mood and general medical disorders in adults: Results from the WHO World Mental Health Survey Portugal. Brain, Behavior, & Immunity - Health, 17. https://doi.org/10.1016/j.bbih.2021.100329.
  • Corcoran, E., Janssen, T., Gabrielli, J., & Jackson, K. (2024). Cross-substance Effects of Adolescent Exposure to Alcohol Content in Popular Movies on Cannabis Initiation. Cannabis, 7, 38 - 50. https://doi.org/10.26828/cannabis/2024/000200.
  • Jackson, K., & Janssen, T. (2019). Developmental considerations in survival models as applied to substance use research. Addictive Behaviors, 94, 36-41 . https://doi.org/10.1016/j.addbeh.2018.11.028.
  • Meadows, M., Strickland, P., Hyder, M., Basconi, B., Stull, B., Wagner, R., Nguyen, B., Rayapati, M., & Rush, P. (2023). Adverse childhood experiences and early initiation of substance use: A survival analysis. The International Journal of Psychiatry in Medicine, 59, 218 - 231. https://doi.org/10.1177/00912174231195751.
  • Clayton, P., Feldman, M., & Nwakpuda, E. (2021). After the IPO: Entrepreneurs’ transition to philanthropy. Journal of Business Venturing Insights. https://doi.org/10.1016/J.JBVI.2021.E00236.
  • Comolli, C. (2021). Resources, aspirations and first births during the Great Recession.. Advances in life course research, 48, 100405 . https://doi.org/10.1016/J.ALCR.2021.100405.
  • Stadelmann‐Steffen, I., Oehrli, D., & Vatter, A. (2021). Do governments delay the implementation of parliamentary requests? Examining time variation in implementing legislative requests in Switzerland. Policy Sciences, 54, 663 - 690. https://doi.org/10.1007/s11077-021-09432-4.
  • Crowther, M. (2017). Multilevel mixed-effects parametric survival analysis: Estimation, simulation, and application. The Stata Journal, 19, 931 - 949. https://doi.org/10.1177/1536867X19893639.
  • Dean, D. O., Bauer, D. J., & Shanahan, M. J. (2014). A discrete-time multiple event process survival mixture (MEPSUM) model. Psychological Methods, 19(2), 251–264. https://doi.org/10.1037/a0034281
  • Lougheed, J. P., Benson, L., Cole, P. M., & Ram, N. (2019). Multilevel survival analysis: Studying the timing of children’s recurring behaviors. Developmental Psychology, 55(1), 53–65. https://doi.org/10.1037/dev0000619
  • Tawiah, R., Yau, K., McLachlan, G., Chambers, S., & Ng, S. (2018). Multilevel model with random effects for clustered survival data with multiple failure outcomes. Statistics in Medicine, 38, 1036 - 1055. https://doi.org/10.1002/sim.8041.