Versions Compared

Old Version 5

changes.mady.by.user April Seaward

Saved on

compared with

New Version Current

changes.mady.by.user April Seaward

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Kundu, A., Fu, R., Grace, D., Logie, C.H., Abramovich, A., Baskerville, B., Yager, C., Schwartz, R., Mitsakakis, N., Planinac, L. & Chaiton, M. 2022. Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis. PLoS One, 17(11):e0277438.

Kundu, A., Fu, R., Grace, D., Logie, C., Abramovich, A., Baskerville, B., Yager, C., Schwartz, R., Mitsakakis, N., Planinac, L. & Chaiton, M. 2022. Correlates of past year suicidal thoughts among sexual and gender minority young adults: A machine learning analysis. Journal of Psychiatric Research, 152:269-277.

Chaiton, M., Dubray, J., Kundu, A. & Schwartz, R. 2022. Perceived impact of COVID on smoking, vaping, alcohol and cannabis use among youth and youth adults in Canada. Can J Psychiatry, 67(5):407-409.

Fu, R., Kundu, A., Mitsakakis, N., Elton-Marshall, T., Wang, W., Hill, S., Bondy, S.J., Hamilton, H., Selby, P.,Schwartz, R. & Chaiton, M.O. 2022. Machine learning applications in tobacco research: a scoping review. Tob Control, 32(1):99-109.