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We calculated the 3-month and 3-year cumulative incidence rates and corresponding 95% confidence intervals (CIs) using the Kaplan Meier (KM) method and plotted the KM cumulative incidence of each complication and outcome over the study period.
Published survival curves are almost always based on the KM method justifying our approach of using inverted KM equations instead of life-table equations and solving at the same time the problem of pre-specification of intervals.
The KM method is shown to be a robust technique allowing efficient computation of subsonic flows.
Despite its simplicity, the KM method was able to yield fair order-of-magnitude estimates of the spectral optical properties of these FB.
The usual KM method involves codifying the tacit knowledge, storing it (typically in a computer database), and then (somehow) making it available to other users.
The kernel-based matching (KM) method uses a weighted average of all farmers in the adopter group to construct a counterfactual.
The KM method is supplemented with a time-averaging procedure, allows for choices in sampling-cell procedures, minimizes fluctuations and accelerates the convergence in subsonic flows.
The KM method applicable to a subsonic or supersonic inflow/outflow boundary, couples kinetic (particle) U3DSMC properties with fluid (moment) properties.
The KM method obtains the number density, temperature and mean velocity needed to define the equilibrium, drifting Maxwellian distribution at a boundary.
The major advantage of the KM method is that it produces ATT estimates with lower variance since it utilizes greater information; its limitation is that some of the observations used may be poor matches.
OS and PFS were calculated using the Kaplan Meier (KM) method.
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