Uh, OK. Let L0, L1, P0, P1 be the numbers of leron

Uh, OK. Let L0, L1, P0, P1 be the numbers of leronlimab and placebo deaths (0) and survivors (1). Then, calculate logit = LO = log[(L0 * P1/(L1 * P0)] as your test statistic, which is assumed to be normally distributed with sd = sqrt(1/L0 + 1/L1 + 1/P0 + 1/P1). Then, you can calculate z = LO/sd. The p-value would then be Pr(Z < z), where Z is a standard normal, which you can calculate as CDF[normaldistribution(0, 1), z], where z is the number you calculated. The p-value will be the "Result".

You can get slightly more accurate results for small numbers by adding a bias-correction factor of 0.5 to L0, L1, P0, and P1 wherever they appear.