Vitamin D

Example concerning body mass index and vitamin D status.

The data presented here come from a large study on vitamin D status in
four European countries, conducted by Rikke Andersen,
Fødevaredirektoratet, Denmark. The data provide age, body mass index
and vitamin D status for 420 women from 4 European countries.  Body
mass index (BMI) is a height corrected weight measure defined as
weight (in kilos) divided by height (in meters) squared.  Vitamin D
status is given via a measurement of 25-hydroxy-vitamin D (25OHD) in
serum and among the questions to be addressed using these data is
whether the 25OHD-level depends on BMI and on age.

Variable list:

age                    age of the individual

bmi                    body mass index

country                country of residence
                       1: Denmark
                       2: Finland
                       4: Ireland
                       6: Poland

category               1: girls
                       2: women

vitd		       the level of vitamin D, serum-25 hydroxi
		       S25OHD

sunexp		       sun exposure
		       1: avoid sun
		       2: sometimes
		       3: prefer sun

vitdintake	       Vitamin D intake

The dataset

Data for Vitamin D

Scripts for loading the dataset

Programs related to Vitamin D

Table 1.1.1:
R-source
SAS-source
Stata-source
(tab-vitD-ch1intro-bmi)
Figure 1.2.1:
R-source
SAS-source
Stata-source
(fig-vitD-ch1covariates-ohdvs012)
Figure 1.2.2:
R-source
SAS-source
Stata-source
(fig-vitD-ch1covariates-ohdvsbmi)
Table 1.4.2:
R-source
SAS-source
(tab-vitD-ch1multiple-fourobs)
Figure 1.4.1:
R-source
SAS-source
(fig-vitD-ch1multiple-parallellines)
Figure 2.2.2:
R-source
SAS-source
(fig-ch2-vitd-histogram)
Table 2.2.2:
R-source
SAS-source
(tab-ch2-vitd-summary)
Figure 2.3.5:
R-source
SAS-source
Stata-source
(fig-vitd-ch2-resdef)
Figure 2.3.6:
R-source
SAS-source
(fig-ch2-vitd-resplots)
Figure 2.3.8:
R-source
(fig-ch2-binom-score)
Figure 2.3.12:
R-source
(fig-ch2-all-tests)
Figure 3.1.1:
R-source
SAS-source
(fig-vitD-ch3-2bmigroups)
Table 3.1.1:
R-source
SAS-source
(tab-vitd-ch3-estimates)
Table 3.1.2:
R-source
SAS-source
(tab-vitd-ch3-comparison)
Table 3.1.3:
R-source
SAS-source
(tab-vitd-ch3-normal-t)
Figure 3.1.2:
R-source
SAS-source
(fig-vitD-ch3-resplots)
Table 3.1.4:
R-source
SAS-source
(tab-vitd-ch3-sd)
Figure 3.1.3:
R-source
SAS-source
(fig-lvitD-ch3-2bmigroups)
Table 3.1.5:
R-source
SAS-source
(tab-vitd-ch3-estimates-log)
Table 3.1.6:
R-source
SAS-source
(tab-vitd-ch3-estimates-back)
Figure 3.1.4:
R-source
SAS-source
(fig-lvitD-ch3-resplots-log)
Figure 3.2.5:
R-source
SAS-source
(fig-vitD-ch3-3bmigroups)
Table 3.2.9:
R-source
SAS-source
(tab-ch3-vitamind-multiple-log)
Figure 4.1.1:
R-source
SAS-source
Stata-source
(fig-vitd-ch4-pres)
Figure 4.1.2:
R-source
SAS-source
Stata-source
(fig-vitd-ch4-resdef)
Figure 4.1.3:
R-source
SAS-source
Stata-source
(fig-vitd-ch4-conf-pred)
Figure 4.1.4:
R-source
SAS-source
Stata-source
(fig-vitd-ch4-model-control)
Table 4.1.1:
R-source
SAS-source
(tab-vitd-outliers)
Figure 4.1.5:
R-source
SAS-source
(fig-vitd-ch4-outliers)
Figure 4.1.6:
R-source
SAS-source
Stata-source
(fig-vitd-ch4-diagnostics)
Table 5.1.2:
R-source
SAS-source
(tab-vitD-ch5twocov-means)
Figure 5.1.1:
R-source
SAS-source
(fig-ch5fourvitDmeans)
Table 5.1.3:
R-source
SAS-source
(tab-vitD-ch5twocov-fourexp-data)
Figure 5.1.2:
R-source
SAS-source
(fig-ch5fourvitDresiduals)
Table 5.1.4:
R-source
SAS-source
(tab-ch5fourvitDSDs)
Table 5.1.5:
R-source
SAS-source
(tab-vitD-ch5-12-means)
Figure 5.1.3:
R-source
SAS-source
(fig-vitD-ch5-vitDvsbmi)
Table 5.1.6:
R-source
SAS-source
(tab-vitD-ch5-estimates)
Figure 5.1.4:
R-source
SAS-source
(fig-ch5-vitD-twolinespar)
Figure 5.1.5:
R-source
SAS-source
(fig-ch5-vitD-adjmeans)
Figure 5.1.6:
R-source
SAS-source
(fig-ch5-vitD-twolines)
Table 5.1.9:
R-source
SAS-source
(tab-ch5linsplinetest)
Figure 5.1.7:
R-source
SAS-source
(fig-ch5-vitD-twosplines)
Figure 5.1.8:
R-source
SAS-source
(fig-ch5-vitD-resplot)
Table 5.2.1:
R-source
SAS-source
(tab-vitD-ch5twocov-means-2)
Figure 5.2.1:
R-source
SAS-source
(fig-ch5-vitd-country-int)
Table 5.2.11:
R-source
SAS-source
(tab-ch5catquant-stratify)
Figure 5.3.1:
R-source
SAS-source
(fig-ch5vitDbmivsage)
Table 6.2.1:
R-source
SAS-source
(tab-ch6-vitd-country)
Table 6.2.2:
R-source
SAS-source
(tab-ch6-vitd-country-differences)
Table 6.2.3:
R-source
SAS-source
(tab-ch6-vitd-sun)
Figure 6.2.2:
R-source
SAS-source
(fig-ch6-vitd-quant)
Table 6.2.4:
R-source
SAS-source
(tab-ch6-country-sun)
Table 6.2.5:
R-source
SAS-source
(tab-ch6-vitd-estimates-model1)
Figure 6.2.3:
R-source
SAS-source
(fig-ch6-vitd-model3-land)
Figure 6.2.4:
R-source
SAS-source
(fig-ch6-vitd-vitdintake)
Table 6.2.6:
R-source
SAS-source
(tab-ch6-vitd-interactions)
Figure 6.2.5:
R-source
SAS-source
(fig-ch6-vitd-land-sun)
Figure 6.2.6:
R-source
SAS-source
(fig-ch6-vitd-cook)
Figure 6.2.7:
R-source
SAS-source
(fig-ch6-vitd-influence)
Table 6.2.7:
R-source
SAS-source
(tab-ch6-vitd-final)
Table 7.3.1:
R-source
SAS-source
(tab-ch7-vitd-estimates)
Figure 7.3.1:
R-source
SAS-source
(fig-ch7-quantitative-comparison6)
Figure 7.3.2:
R-source
SAS-source
(fig-ch7-quantitative-comparison2)