  We present the statistical method as a direct extension of the mean
first-passage time concept to the analysis of molecular dynamics simulation
data of a phase transformation. According to the method, the mean first-passage
time trajectories for the first $(i=1)$ as well as for the subsequent ($i=2$,
$3$, $4$, $\ldots$) nucleation events should be extracted, that allows one to
calculate the time-dependent nucleation rate, the critical value of the order
parameter (the critical size), the waiting times for the nucleation events and
the growth law of the nuclei -- i.e. all the terms, which are usually necessary
to characterize the overall transition kinetics. There are no restrictions in
the application of the method by the specific thermodynamic regions; and the
nucleation rate parameters are extracted according to their basic definitions.
The method differs from the Wedekind-Bartell scheme and its modification [A.V.
Mokshin, B.N. Galimzyanov, J. Phys. Chem. B {\bf 116}, 11959 (2012)], where the
passage-times for the first (largest) nucleus are evaluated only and where the
average waiting time for the first nucleation event is accessible instead of
the true steady-state nucleation time scale. We demonstrate an efficiency of
the method by its application to the analysis of the vapor-to-liquid transition
kinetics in water at the different temperatures. The nucleation rate/time
characteristics and the droplet growth parameters are computed on the basis of
the coarse-grained molecular dynamics simulation data.

Soft Condensed Matter;Mesoscale and Nanoscale Physics;Materials Science;Computational Physics;Data Analysis, Statistics and Probability