Teeth: Tooth Loss Data
In MST: Multivariate Survival Trees

Description Usage Format Details Examples

Survival of teeth with various predictors.

1	data("Teeth")

A data frame with 65,890 teeth on the following 56 variables.

x1: numeric. mobil Mobility score (on a scale 0–5).
x2: numeric. bleed Bleeding on Probing (percentage).
x3: numeric. plaque Plaque Score (percentage).
x4: numeric. pocket_mean Periodontal Probing Depth (tooth-level mean).
x5: numeric. pocket_max Periodontal Probing Depth (tooth-level mean).
x6: numeric. cal_mean Clinical Attachment Level (tooth-level mean).
x7: numeric. cal_max Clinical Attachment Level (tooth-level max).
x8: numeric. fgm_mean Free Gingival Margin (tooth-level mean).
x9: numeric. fgm_max Free Gingival Margin (tooth-level max).
x10: numeric. mg Mucogingival Defect.
x11: numeric. filled Filled Surfaces.
x12: numeric. decay_new Decayed Surfaces – new.
x13: numeric. decay_recur Decayed Surfaces – recurrent.
x14: numeric. dfs Decayed and Filled Surfaces.
x15: factor. crown Crown.
x16: factor. endo Endodontic Therapy.
x17: factor. implant Tooth Implant.
x18: factor. pontic Bridge Pontic.
x19: factor. missing_tooth Missing Tooth.
x20: factor. filled_tooth Filled Tooth.
x21: factor. decayed_tooth Decayed Tooth.
x22: factor. furc_max Furcation Involvement for Molars.
x23: numeric. bleed_ave Bleeding on Probing (mean percentage).
x24: numeric. plaque_ave Plaque Index (mean percentage).
x25: numeric. pocket_mean_ave Periodontal Probing Depth (mean of tooth mean).
x26: numeric. pocket_max_ave Periodontal Probing Depth (mean of tooth max).
x27: numeric. cal_mean_ave Clinical Attachment Level (mean of tooth mean).
x28: numeric. cal_max_ave Clinical Attachment Level (mean of tooth max).
x29: numeric. fgm_mean_ave Free Gingival Margin (mean of tooth max).
x30: numeric. fgm_max_ave Free Gingival Margin (mean of tooth max).
x31: numeric. mg_ave Mucogingival Defect (mean).
x32: numeric. filled_sum Filled Surfaces (total).
x33: numeric. filled_ave Filled Surfaces (mean).
x34: numeric. decay_new_sum New Decayed Surfaces (total).
x35: numeric. decay_new_ave New Decayed Surfaces (mean).
x36: numeric. decay_recur_sum Recurrent Decayed Surfaces (total).
x37: numeric. decay_recur_ave Recurrent Decayed Surfaces (mean).
x38: numeric. dfs_sum Decayed and Filled Surfaces (total).
x39: numeric. dfs_ave Decayed and Filled Surfaces (mean).
x40: numeric. filled_tooth_sum Number of Filled Teeth.
x41: numeric. filled_tooth_ave Percentage of Filled Teeth.
x42: numeric. decayed_tooth_sum Number of Decayed Teeth.
x43: numeric. decayed_tooth_ave Percentage of Decayed Teeth.
x44: numeric. missing_tooth_sum Number of Missing Teeth.
x45: numeric. missing_tooth_ave Percentage of Missing Teeth.
x46: numeric. total_tooth Number of Teeth.
x47: numeric. dft Number of Decayed and Filled Teeth.
x48: numeric. baseline_age Patient Age at Baseline (years).
x49: factor. gender Gender.
x50: factor. diabetes Diabetes Mellitus.
x51: factor. tobacco_ever Tobacco Use.
molar: logical. Molar.
id: numeric. Patient ID.
tooth: numeric. Tooth ID.
event: numeric. Tooth Loss Status.
time: numeric. Follow Up Time.

Patients were treated at the Creighton University School of Dentistry from August 2007 to March 2013. This is a subset of the original data.

The goal is to estimate the survival time of teeth (molars or non-molars) using 51 predictors (22 tooth-level factors (x1–x22) and 29 patient-level factors (x23–x51)).