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Middleton et al Modeling craniofacial growth Supplemental Information

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modified on 2023-11-09, 14:35

Supplemental Information for "Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton"


Files included in this archive


README.txt

This file.


CF_functions.R

Miscellaneous functions common to both sets of analyses. This file is loaded by the others.


CF_Growth_Cross_Sectional_Fitter.R

R script to fit the cross-sectional model. This file can be executed directly to analyze a single sex/trait combination or via Rscript in a batch.


CF_Growth_Longitudinal_Fitter.R

R script to fit the longitudinal model. This file can be executed directly to analyze a single sex/trait combination or via Rscript in a batch.


longitudinal_model.stan

Stan code for the longitudinal model. Used by CF_Growth_Longitudinal_Fitter.R


xs_model.stan

Stan code for the cross-sectional model. Used by CF_Growth_Cross_Sectional_Fitter.R


XS_Longitudinal_Comparison.Rmd

Rmarkdown file that carries out post-processing on the samples for each of the sex/trait combinations. This file can be rendered using only the outputs saved in Generated_Data and Generated_Data_XS (without re-sampling the models).


Data/DL_Priors.xlsx

Contains the double logistic model priors


Generated_Data

The stan samples for the longitudinal models, with four files per sex/trait (one for each chain).


Generated_Data_XS

The stan samples for the cross-sectional models. To reduce the file count, these files are already saved in Rds format after combining the chains.

Funding

Longitudinal Modeling of Craniofacial Growth Trajectories

National Institute of Dental and Craniofacial Research

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Craniofacial Growth Prediction in Different Facial Types

National Institute of Dental and Craniofacial Research

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American Association of Orthodontists Foundation