glow_bonemed: GLOW_BONEMED data

In aplore3: Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic Regression" (3rd Ed., 2013)

Description

glow_bonemed dataset.

Usage

glow_bonemed

Format

A data.frame with 500 rows and 18 variables: the covariate are the same as those from glow500 with the addition of

bonemed

Bone medications at enrollment (1: No, 2: Yes)

bonemed_fu

Bone medications at follow-up (1: No, 2: Yes)

bonetreat

Bone medications both at enrollment and follow-up (1: No, 2: Yes)

Source

Hosmer, D.W., Lemeshow, S. and Sturdivant, R.X. (2013) Applied Logistic Regression, 3rd ed., New York: Wiley

Examples

head(glow_bonemed, n = 10)
summary(glow_bonemed)

Example output

   sub_id site_id phy_id priorfrac age weight height      bmi premeno momfrac
1       1       1     14        No  62   70.3    158 28.16055      No      No
2       2       4    284        No  65   87.1    160 34.02344      No      No
3       3       6    305       Yes  88   50.8    157 20.60936      No     Yes
4       4       6    309        No  82   62.1    160 24.25781      No      No
5       5       1     37        No  61   68.0    152 29.43213      No      No
6       6       5    299       Yes  67   68.0    161 26.23356      No      No
7       7       5    302        No  84   50.8    150 22.57778      No      No
8       8       1     36       Yes  82   40.8    153 17.42919      No      No
9       9       1      8       Yes  86   62.6    156 25.72321      No      No
10     10       4    282        No  58   63.5    166 23.04398      No      No
   armassist smoke raterisk fracscore fracture bonemed bonemed_fu bonetreat
1         No    No     Same         1       No      No         No        No
2         No    No     Same         2       No      No         No        No
3        Yes    No     Less        11       No      No         No        No
4         No    No     Less         5       No      No         No        No
5         No    No     Same         1       No      No         No        No
6         No   Yes     Same         4       No      No         No        No
7         No    No     Less         6       No      No         No        No
8         No    No     Same         7       No     Yes        Yes       Yes
9         No    No     Same         7       No      No         No        No
10        No    No     Less         0       No      No         No        No
     sub_id         site_id          phy_id       priorfrac      age       
 Min.   :  1.0   Min.   :1.000   Min.   :  1.00   No :374   Min.   :55.00  
 1st Qu.:125.8   1st Qu.:2.000   1st Qu.: 57.75   Yes:126   1st Qu.:61.00  
 Median :250.5   Median :3.000   Median :182.50             Median :67.00  
 Mean   :250.5   Mean   :3.436   Mean   :178.55             Mean   :68.56  
 3rd Qu.:375.2   3rd Qu.:5.000   3rd Qu.:298.00             3rd Qu.:76.00  
 Max.   :500.0   Max.   :6.000   Max.   :325.00             Max.   :90.00  
     weight           height           bmi        premeno   momfrac   armassist
 Min.   : 39.90   Min.   :134.0   Min.   :14.88   No :403   No :435   No :312  
 1st Qu.: 59.90   1st Qu.:157.0   1st Qu.:23.27   Yes: 97   Yes: 65   Yes:188  
 Median : 68.00   Median :161.5   Median :26.42                                
 Mean   : 71.82   Mean   :161.4   Mean   :27.55                                
 3rd Qu.: 81.30   3rd Qu.:165.0   3rd Qu.:30.79                                
 Max.   :127.00   Max.   :199.0   Max.   :49.08                                
 smoke        raterisk     fracscore      fracture  bonemed   bonemed_fu
 No :465   Less   :167   Min.   : 0.000   No :375   No :371   No :361   
 Yes: 35   Same   :186   1st Qu.: 2.000   Yes:125   Yes:129   Yes:139   
           Greater:147   Median : 3.000                                 
                         Mean   : 3.698                                 
                         3rd Qu.: 5.000                                 
                         Max.   :11.000                                 
 bonetreat
 No :382  
 Yes:118  
          
          
          
          

aplore3 documentation built on May 2, 2019, 8:24 a.m.