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Table 2 MI Specification

From: The hemorrhagic transformation index score: a prediction tool in middle cerebral artery ischemic stroke

Software package

IBM SPSS Statistics, v.24; Armonk, NY

Random number generator

Mersenne twister

Imputation method

Fully conditional specification (MCMC)

Model type

Linear regression, no interaction terms

Number of iterations

100

Predictors

All collected data, including missing variables

Restrictions

Extrema of source data

Number of imputations

15

Quality of MI

No pattern on MCMC convergence charts

FMI, RIV, RE (Table 4)

  1. Note: FMI stands for Fraction of missing information, MCMC Markov chain Monte Carlo, RE Relative efficiency, and RIV Relative increase in variance