<p>Locally weighted scatterplot smoothing (LOESS) non parametric regression for the prediction of the GDM or preeclampsia composite outcome.</p
<p>SE: sensitivity, SP: specificity, PPV: positive predictive value, NPV: negative predictive value,...
<p>Multivariate regression models for the prediction of lumbar lordosis without (A) and with (B) the...
<p>The vertical red line indicates the beginning of weekly <i>Bti</i> applications and the green lin...
<p>Locally weighted scatterplot smoothing (LOESS) non parametric regression for the prediction of th...
<p>The frequency of reported outcomes over time are shown in these nonparametric regression locally ...
<p>Scatterplot showing the distribution size of gamma zone versus axial length (locally weighted sca...
Linear least squares regression is among the most well known classical methods. This and other param...
<p>Locally weighted polynomial regression (LOESS) analysis for CFD based probability of in-hospital ...
This paper describes the LOESS procedure which is a new procedure in SAS/STAT&reg; software for ...
<p>Univariate, conditional logistic regression analysis of factors associated with pre-eclampsia.</p
<p>General estimating equation (GEE) for the prediction of the composite outcome (preeclampsia/GDM)....
<p>BMI: body mass index; PGF: placental growth factor; ADMA: asymmetric dimethylarginine; OR: odds r...
<p><i>Note</i>: Figure shows the predictions of three specifications compared to the observed trajec...
Cleveland (1979) is usually credited with the introduction of the locally weighted regression, Loess...
The purpose of this study is to discuss the weighting systems of several linear and non linear smoot...
<p>SE: sensitivity, SP: specificity, PPV: positive predictive value, NPV: negative predictive value,...
<p>Multivariate regression models for the prediction of lumbar lordosis without (A) and with (B) the...
<p>The vertical red line indicates the beginning of weekly <i>Bti</i> applications and the green lin...
<p>Locally weighted scatterplot smoothing (LOESS) non parametric regression for the prediction of th...
<p>The frequency of reported outcomes over time are shown in these nonparametric regression locally ...
<p>Scatterplot showing the distribution size of gamma zone versus axial length (locally weighted sca...
Linear least squares regression is among the most well known classical methods. This and other param...
<p>Locally weighted polynomial regression (LOESS) analysis for CFD based probability of in-hospital ...
This paper describes the LOESS procedure which is a new procedure in SAS/STAT&reg; software for ...
<p>Univariate, conditional logistic regression analysis of factors associated with pre-eclampsia.</p
<p>General estimating equation (GEE) for the prediction of the composite outcome (preeclampsia/GDM)....
<p>BMI: body mass index; PGF: placental growth factor; ADMA: asymmetric dimethylarginine; OR: odds r...
<p><i>Note</i>: Figure shows the predictions of three specifications compared to the observed trajec...
Cleveland (1979) is usually credited with the introduction of the locally weighted regression, Loess...
The purpose of this study is to discuss the weighting systems of several linear and non linear smoot...
<p>SE: sensitivity, SP: specificity, PPV: positive predictive value, NPV: negative predictive value,...
<p>Multivariate regression models for the prediction of lumbar lordosis without (A) and with (B) the...
<p>The vertical red line indicates the beginning of weekly <i>Bti</i> applications and the green lin...
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