Estimating Hazard Ration (HR) and Confidence Interval from Other Information

Scenario 1: Approximately calculate HR and confidence interval based on median survival time and number of event.[1, 2]
Median survival time of group 1
Number of events in group 1
Median survival time of group 2
Number of events in group 2
Confidence level
Scenario 2: Approximately calculate confidence interval of HR based on HR value and log-rank's p-value[3,4]
HR
P value from Log-rank test
Confidence Level
Scenario 3: Approximately calculate confidence interval of HR based on median survival time and log-rank's p-value.[1,2,3,4]
Median survival time of group 1
Median survival time of group 2
P value from Log-rank test
Confidence Level
Scenario 4: Approximately calculate HR value based on number of event and follow-up time.[5]
Number of events in group 1 Follow-up person-years for group 1
Number of events in group 2 Follow-up person-years for group 2

Reference:

[1] Cortés J, González JA, Campbell MJ, Cobo E. A hazard ratio was estimated by a ratio of median survival times, but with considerable uncertainty. J Clin Epidemiol. 2014 Oct;67(10):1172-7.
[2] https://www.graphpad.com/support/faq/the-confidence-interval-for-the-ratio-of-median-survival-times/
[3] https://www.bmj.com/content/suppl/2007/01/22/bmj.39063.689375.55.dc1/fdetails.pdf
[4] Gillies CL, Abrams KR, Lambert PC, Cooper NJ, Sutton AJ, Hsu RT, Khunti K. Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. BMJ. 2007 Feb 10;334(7588):299.
[5] Bender, R., Beckmann, L. Limitations of the incidence density ratio as approximation of the hazard ratio. Trials 20, 485 (2019). https://doi.org/10.1186/s13063-019-3590-2

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