rstudio preterm birth Search Results


rstudio preterm birth  (RStudio)
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Comparison of characteristics between birthing parents with and without intrapartum depression or anxiety. A standardized difference of 0.1 or greater was deemed significant and designated with a (**)
Rstudio Preterm Birth, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Comparison of characteristics between birthing parents with and without intrapartum depression or anxiety. A standardized difference of 0.1 or greater was deemed significant and designated with a (**)

Journal: BMC Psychiatry

Article Title: Can we more precisely classify exposure to antenatal depression and anxiety in multivariable prediction models of pregnancy and birth outcomes: a population-based cohort study

doi: 10.1186/s12888-023-05284-9

Figure Lengend Snippet: Comparison of characteristics between birthing parents with and without intrapartum depression or anxiety. A standardized difference of 0.1 or greater was deemed significant and designated with a (**)

Article Snippet: Curves were generated using RStudio Preterm birth.

Techniques: Comparison

Receiver operator characteristic (ROC) curves for preterm birth (PTB) predictive models. Models were constructed using (A) binary set and (B) full set of variables describing mental health history. Variables from each preconception period were added in a stepwise fashion to the intrapartum base model, and each model is represented using a distinct color and line type. The expected ROC curve for predictions due to chance is represented using a dashed grey line. Curves were generated using RStudio.

Journal: BMC Psychiatry

Article Title: Can we more precisely classify exposure to antenatal depression and anxiety in multivariable prediction models of pregnancy and birth outcomes: a population-based cohort study

doi: 10.1186/s12888-023-05284-9

Figure Lengend Snippet: Receiver operator characteristic (ROC) curves for preterm birth (PTB) predictive models. Models were constructed using (A) binary set and (B) full set of variables describing mental health history. Variables from each preconception period were added in a stepwise fashion to the intrapartum base model, and each model is represented using a distinct color and line type. The expected ROC curve for predictions due to chance is represented using a dashed grey line. Curves were generated using RStudio.

Article Snippet: Curves were generated using RStudio Preterm birth.

Techniques: Construct, Generated

Receiver operator characteristic (ROC) curves for (A) postpartum depression/anxiety and (B) preterm birth adjusted models . Variables related to mental health history were selected according to resultant increase in concordance statistic (C-statistic). Other predictors (socio-demographics and pregnancy characteristics) were selected a priori and/or based on ability to significantly improve model fit. Each model is represented with a distinct color and line type. The expected ROC curve for predictions due to chance is represented using a dashed grey line. Curves were generated using RStudio

Journal: BMC Psychiatry

Article Title: Can we more precisely classify exposure to antenatal depression and anxiety in multivariable prediction models of pregnancy and birth outcomes: a population-based cohort study

doi: 10.1186/s12888-023-05284-9

Figure Lengend Snippet: Receiver operator characteristic (ROC) curves for (A) postpartum depression/anxiety and (B) preterm birth adjusted models . Variables related to mental health history were selected according to resultant increase in concordance statistic (C-statistic). Other predictors (socio-demographics and pregnancy characteristics) were selected a priori and/or based on ability to significantly improve model fit. Each model is represented with a distinct color and line type. The expected ROC curve for predictions due to chance is represented using a dashed grey line. Curves were generated using RStudio

Article Snippet: Curves were generated using RStudio Preterm birth.

Techniques: Generated

Performance of predictive logistic regression models for preterm birth using test dataset

Journal: BMC Psychiatry

Article Title: Can we more precisely classify exposure to antenatal depression and anxiety in multivariable prediction models of pregnancy and birth outcomes: a population-based cohort study

doi: 10.1186/s12888-023-05284-9

Figure Lengend Snippet: Performance of predictive logistic regression models for preterm birth using test dataset

Article Snippet: Curves were generated using RStudio Preterm birth.

Techniques: