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The mean number of return visits per subject was calculated using a nonparametric estimator [ 21].
Cumulative incidence of microalbuminuria or macroalbuminuria by diabetes duration was quantified using a nonparametric estimator that allows for interval-censored observations (15, 16).
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As a basis for analysis, the GAMM method uses a nonparametric estimator of the reliability function using all historical data or, alternatively, part of the history, allowing it to perform an analysis even with limited available data.
The conditional distributions were computed using a simple Gaussian distribution or using a nonparametric density estimator.
After constructing our propensity model, we used PSMATCH2 (version 3.1.5) [ 23] to match controls to participants with diabetes using a nonparametric kernel matching estimator.
Data were analyzed using a nonparametric test.
It was designed by using a nonparametric Bayesian approach.
Means were compared using a nonparametric test.
Means were compared using a nonparametric Tukey-Kramer HSD test.
Correlation analyses were performed using a nonparametric Spearman's test.
Reference [24] proposed a nonparametric estimator of the regression function by combining local polynomial regression and M-estimation regression.
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