Predicting pregnancy outcomes using longitudinal information: a penalized splines mixed-effects model approach

Keyphrases

• Pregnancy Outcome 100%
• Mixed-effects Model 100%
• Penalized Splines 100%
• Semi-parametric 66%
• Random Effects 66%
• NONMEM 66%
• Classification Problem 33%
• Prediction Accuracy 33%
• Fixed Effects 33%
• Serial Correlation 33%
• Infinite Dimension 33%
• Parameter Space 33%
• Finite-dimensional 33%
• Error Term 33%
• Variance Components 33%
• Longitudinal Data 33%
• Pregnancy Stages 33%
• Hormone Levels 33%
• Unknown Function 33%
• Correlation Structure 33%
• Binary Outcome 33%
• Estimation Strategies 33%
• Nonparametric Component 33%
• Parametric Component 33%
• Alternative Formulations 33%
• Explicit Model 33%
• Direct Modeling 33%
• Methodological Support 33%
• Abnormal Pregnancy Outcomes 33%

INIS

• data 100%
• information 100%
• errors 100%
• pregnancy 100%
• prediction 66%
• correlations 66%
• randomness 66%
• modeling 66%
• nonlinear problems 66%
• levels 33%
• accuracy 33%
• space 33%
• classification 33%
• numerical analysis 33%
• hormones 33%

Mathematics

• Spline 100%
• Random Effect 66%
• Classification Problem 33%
• Parametric 33%
• Serial Correlation 33%
• Error Term 33%
• Parameter Space 33%
• Numerical Analysis 33%
• Longitudinal Data 33%
• Variance Component 33%
• Unknown Function 33%
• Correlation Structure 33%