To cite tsahr in publications, please cite the software itself, and
consider also citing the two key methodology papers it implements:

  Dhaouadi T (2026). _tsahr: Trial Sequential Analysis for
  Meta-Analyses of Hazard Ratios_. R package,
  <https://github.com/tarak-dhaouadi/tsahr>.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {tsahr: Trial Sequential Analysis for Meta-Analyses of Hazard Ratios},
    author = {Tarak Dhaouadi},
    year = {2026},
    note = {R package},
    url = {https://github.com/tarak-dhaouadi/tsahr},
  }

  Miladinovic B, Mhaskar R, Hozo I, Kumar A, Mahony H, Djulbegovic B
  (2013). “Optimal information size in trial sequential analysis of
  time-to-event outcomes reveals potentially inconclusive results
  because of the risk of random error.” _Journal of Clinical
  Epidemiology_, *66*(6), 654-659. doi:10.1016/j.jclinepi.2012.11.007
  <https://doi.org/10.1016/j.jclinepi.2012.11.007>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Optimal information size in trial sequential analysis of time-to-event outcomes reveals potentially inconclusive results because of the risk of random error},
    author = {B Miladinovic and R Mhaskar and I Hozo and A Kumar and H Mahony and B Djulbegovic},
    journal = {Journal of Clinical Epidemiology},
    year = {2013},
    volume = {66},
    number = {6},
    pages = {654-659},
    doi = {10.1016/j.jclinepi.2012.11.007},
  }

  Wetterslev J, Thorlund K, Brok J, Gluud C (2009). “Estimating
  required information size by quantifying diversity in random-effects
  model meta-analyses.” _BMC Medical Research Methodology_, *9*, 86.
  doi:10.1186/1471-2288-9-86 <https://doi.org/10.1186/1471-2288-9-86>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Estimating required information size by quantifying diversity in random-effects model meta-analyses},
    author = {J Wetterslev and K Thorlund and J Brok and C Gluud},
    journal = {BMC Medical Research Methodology},
    year = {2009},
    volume = {9},
    pages = {86},
    doi = {10.1186/1471-2288-9-86},
  }