Data sets

Last updated on 2024-10-22 | Edit this page

BETACAR

Data from a study of bio availability of four different preparations of betacarotene:

  1. Solaten (30 mg capsules)
  2. Roche (60 mg capsules)
  3. Badische Anilin und Soda Fabrik (BASF) (30 mg capsules)
  4. BASF (60 mg capsules)

23 volunteers had their beta-carotene levels measured in two consecutive-day fasting blood samples. They were then randomized to one of the four preparations, and took 1 pill every other day for 12 weeks. Blood samples were drawn after 6, 8, 10 and 12 weeks.

Dimensions: Rows: 23 Columns: 8

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Variable Description/Code Unit
Prepar Preparation
1=SOL
2=ROCHE
3=BASF-30
4=BASF-60
Id Subject #
Base1lvl 1st Baseline Level µmol/L
Base2lvl 2nd Baseline Level µmol/L
Wk6lvl Week 6 Level µmol/L
Wk8lvl Week 8 Level µmol/L
Wk10lvl Week 10 Level µmol/L
Wk12lvl Week 12 Level µmol/L

BLOOD

A case-control study of riskfactors (hormone levels in blood samples) for breast cancer. Individuals are matched on age and current postmenopausal homone use (PMH).

Each row contains unique ID, representing both cases (have breast cancer) and control (does not have breast cancer). The column matchid matches the controls with their respective cases. Cases have identical ID and matchid.

Note the different ways of coding missing values.

Useful for logistic regression to assess the association between testosterone and breast cancer, controlling for age and current PMH use. Either with testosterone as a continuous variable or as a categorical variabel in quartiles, with the first quartile as the reference group.

Dimensions: Rows: 510 Columns: 9

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Variable Description Code Unit
Id ID
matchid Matched ID
case 1 = case
0 = control
curpmh Current PMH use
1 = yes
0 = no
ageblood Age at blood draw years
estradol Estradiol pg/mL
estrone Estrone
missing = 999
pg/mL
testost Testosterone
missing = 999
ng/dL
prolactn Prolactin
missing = 99.99
ng/L

BONEDEN

Data from a twin study on the relationship between bone density and cigarette consumption source2. 41 pairs of middle-aged australian female twins with different smoking histories had their bone density measured at a hospital in Victoria, as well as other factors, details in metadata below.

Dimensions: Rows: 41 Columns: 25

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The data set is rather wide, and the columns are split up in this describtion.

Variable Code Unit
ID
Age Age years
zyg Mono- or dizygotic twins
1 = mz
2 = dz

The following variables are dublicated, in the form of

xx1 for the lighter smoking twin and

xx2 for the heavier smoking twin

Variable Code unit
ht Height cm
wt Weight kg
tea Tea cups/week
cof Coffee cups/week
alc Alcohol drinks/week
cur Current Smoking (cigarettes/day)
men Menopause Status
0: Premenopausal
1: Postmenopausal
2: unknown or hysterectomy
pyr Pack-years smoking year
ls Lumbar spine g/cm2
fn Femoral neck g/cm2
fs Femoral shaft g/cm2

Pack-years are defined as how many years the woman have smoked a pack of cigarettes pr day, normally ca. 20 cigarettes pr pack.

Lumbar spine: L1-L5.

Femoral neck: Collum femoris

Femoral shaft: Corpus femoris

BOTOX

69 patients with piriformis syndrome participated in a randomized double-blind clinical trial.

Piriformis syndrom is a condition involving malfunction of the piriformis muscle - a deep buttock muscle, which often causes buttock and lumbar pain with sciatica.

Patients were injected with one of three substances directly in the piriformis muscle:

  1. a combination of triamcinolone and lidocaine (TL)
  2. a placebo
  3. Botox

The randomization was set up with approximately ½ assigned to group 1, 1/6 to group 2 and 1/3 to group 3.

Patients were asked to return 2 weeks (0.5), and monthly post injection. At each visit patients rated their percentage of improvement of pain comparied to baseline, on a visual analog scale, with a range of -100 to 100%, negative numbers indicating worsening. One patient had the condition in both legs leading to 70 observations in the dataset.

Dimensions: Rows: 70 Columns: 24

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Variable Code unit
ID
group 1 = TL
2 = Placebo
3 = Botox
pain0 pain score month 0 %
pain05 pain score month 0.5 %
pain1 pain score month 1 %
pain2 pain score month 2 %
pain3 pain score month 3 %
pain4 pain score month 4 %
pain5 pain score month 5 %
pain6 pain score month 6 %
pain7 pain score month 7 %
pain8 pain score month 8 %
pain9 pain score month 9 %
pain10 pain score month 10 %
pain11 pain score month 11 %
pain12 pain score month 12 %
pain13 pain score month 13 %
pain14 pain score month 14 %
pain15 pain score month 15 %
pain16 pain score month 16 %
pain17 pain score month 17 %

For all pain scores 999 indicates missing value.

BREAST

A dataset describing 1200 women in the NHS. In 1990 it was confirmed that they were postmenopausal and free of any cancer. The selection was done so that 200 of the women were using postmenopausal hormones (PMH) in 1990, and 1000 had never used PMH. The objective was to identify a possible relation between incidence of breast cancer between 1990 to 2000 with PMH use in 1990.

The objective was to relate breast cancer incidence from 1990 to 2000 with PMH use in 1990. Data on PMH use are found in three variables, pmh registers PMH use in 1990, where dur3 and dur4 registers length of use of two different PMH. In the variable foluptm the time between the first questionnaire (in 1990), and a follow up date is recorded in months. If a control that follow up date was the date of the last questionnaire in 2000, if a case, the date of diagnosis of breast cancer. Other cancer risk factors are recorded.

Dimensions: Rows: 1200 Columns: 18

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variable Description unit
Id ID
case case
1 = case
0 = control
age age years
agemenar age at menarche years
agemenop age at menopause years
afb age at first birth 98=nullip years
parity parity
bbd Benign Breast disease
1 = yes
0 = no
famhx family history breast cancer
1 = yes
0 = no
bmi BMI kg/m2
hgt Height inches
alcohol Alcohol use g/day
pmh PMH status
2 = never user
3 = current user
dur3 Duration of Estrogen use (months) months
dur4 Duration of Estrogen + progesterone use (months) months
csmk Current Smoker
1 = yes
0 = no
psmk Past smoker
1 = yes
0 = no
foluptm Months of follow up Note: Some subjects provided no
follow up after the 1990 questionnaire: foluptm=0 for
these people
months

CORNEAL

Data from a randomized trial of two different active drugs of the fluoroquinolone-group, M and G along with a placebo, P. 93 subjects were placed in one of three groups:

Group Eye 1 Eye 2
A G P
B M P
C G M

Each subject was asked to administer the two assigned preparations four times per day for 10 days. The response was measured at baseline (without treatment), on visit 1, and again at visit 2 after 7 days, and at visit 3, on day 14. Note that at day 14, the subjects had stopped administering the preparations. The response was meased as corneal sensitivity in five regions of the eyes, central, superior, inferior, temporal and nasal. Sensititivy was measured in mm, with a range for 40-60 mm. High values indicate greater, normal, sensitivity, low values lower, abnormal, sensitivity.

Dimensions: Rows: 186 Columns: 17

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Variable Variable label unit
id ID
tr Treatment
1 = M
2 = G
3 = P
c1 Central visit 1 mm
s1 Superior visit 1 mm
i1 Inferior Visit 1 mm
t1 Temporal visit 1 mm
n1 Nasal Visit 1 mm
c2 Central Visit 2(day 7) mm
s2 Superior Visit 2 mm
i2 Inferior Visit 2 mm
t2 Temporal Visit 2 mm
n2 Nasal Visit 2 mm
c3 Central Visit 3(day 14) mm
s3 Superior Visit 3 mm
i3 Inferior Visit 3 mm
t3 Temporal Visit 3 mm
n3 Nasal Visit 3 mm

99: Missing values

DIABETES

A study on whether maintaining diabetes control in type I diabetes affects growth and development in childhood. 94 boys aged 9-15 where examined approx. every 3 months, leading to 910 visits. At each visit the degree of diabetes control where assessed by measuring HgbA1c (glycosylated hemoglobin). The exact dates of the visits are registered in the mon, day and yr_a1c variables, the age, height and weight where registered as well ad the HgbA1c measurement.

The HgbA1c measurement is the percentage of hemoglobin that is glycosylated. The normal range is between 4.0 and 5.6%, with values larger than 6.5% being indicative of diabetes. The normal range does not appear to change by pubertal stage.

Dimensions: Rows: 910 Columns: 8

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Variable Code unit
ID
mon_a1c Month
day_a1c Day A1c
yr_a1c Yr
age_yrs Age in years year
gly_a1c Hemoglobin A1c %
ht_cm Height
missing=999.9
cm
wt_kg Weight kg

EAR

Data on 214 children with acute otitis media in one or both ears. They were randomly assigned 14 days of antibiotic treatment with either CEF (cefaclor) or AMO (amoxicillin). Status of their ear infection at a follow up visit after 14 days were recorded.

Dimensions: Rows: 278 Columns: 5

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Variable Description
Id ID
Clear Clearance by 14 days
1 = yes
0 = no
Antibo Antibiotic
1 = CEF
2 = AMO
Age Age
1 = <2 yrs
2 = 2-5 yrs
3 = 6+ yrs
Ear Ear
1 = 1st ear
2 = 2nd ear

EFF

Data from a litterature search on the efficacy (that is - is it working?) of a number of aminoglycosides for the treatment of infectious diseases.

Note that this dataset is basically the same as the dataset NEPHRO, where the nephrotoxicity of the preparations described in the same papers is reported.

We get the sample size of patients in different studies, and the number of patients that were cured for their infection. Which antibiotic is best?

Dimensions: Rows: 64 Columns: 6

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Variable Description/Code
Name Study name
Id Study Number
Endpnt Endpoint 1=efficacy
Antibio Antibiotic
1 = Amikacin
2 = Gentamicin
3 = Netilmicin
4 = Sisomycin
5 = Tobramycin
Samp_sz Sample Size
Cured Number Cured

ENDOCRIN

Data for comparison of measurements of four hormones in five subjects. Measurements were done twice on blood samples from each subject. Are the measurements reproducable?

Dimensions: Rows: 10 Columns: 6

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Variable LABEL unit
Subject SUBJECT #
Replicat REPLICATE #
Estrone ESTRONE pg/mL
Estradol ESTRADIOL pg/ml
Androste ANDROSTENEDIONE ng/dL
Testost TESTOSTERONE ng/dL

ESTRADL

Data on 211 women. Measurement of estradiol, ethnicity, number of children, BMI and Waist/hip ratio.

Dimensions: Rows: 211 Columns: 10

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Variable Code unit
Id Identification number
Estradl Estradiol pg/ml
Ethnic Ethnicity
0 = African-American
1 = Caucasian
Entage Age year
Numchild Parity, number of children 9=missing
Agefbo Age at 1st birth (= 0 if numchild = 0) 99 = missing year
Anykids Any children
1 = yes
0 = no
9 = missing
Agemenar Age at menarche
99=missing
years
BMI Body Mass Index kg/m^
WHR waist-hip ratio

CAVE: Note the coding of Agefbo

ESTROGEN

The influence on different doses of estrogen on systolic and diastolic blood pressure is investigated. 31 subjects are placed into 1 of three study types, and recives treatment two times for four weeks, with a two week washout period between.

Are there any significant differences between the different treatments - or carry over effects on blood pressure in the different groups.

Dimensions: Rows: 62 Columns: 22

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Variable LABEL unit
Id ID
std_typ STUDY TYPE
1 = 0.625MG VS PLACEBO
2 = 1.25MG VS PLACEBO
3 = 1.25MG VS 0.625MG
period PERIOD
trtgrp TREATMENT
1 = PLACEBO
2 = 0.625MG
3 = 1.25MG
sysd1r1 SYSTOLIC BP DAY 1 READING 1 mmHg
diasd1r1 DIASTOLIC BP DAY 1 READING 1 mmHg
sysd1r2 SYSTOLIC BP DAY 1 READING 2 mmHg
diasd1r2 DIASTOLIC BP DAY 1 READING 2 mmHg
sysd1r3 SYSTOLIC BP DAY 1 READING 3 mmHg
diasd1r3 DIASTOLIC BP DAY 1 READING 3 mmHg
sysd2r1 SYSTOLIC BP DAY 2 READING 1 mmHg
diasd2r1 DIASTOLIC BP DAY 2 READING 1 mmHg
sysd2r2 SYSTOLIC BP DAY 2 READING 2 mmHg
diasd2r2 DIASTOLIC BP DAY 2 READING 2 mmHg
sysd2r3 SYSTOLIC BP DAY 2 READING 3 mmHg
diasd2r3 DIASTOLIC BP DAY 2 READING 3 mmHg
sysd3r1 SYSTOLIC BP DAY 3 READING 1 mmHg
diasd3r1 DIASTOLIC BP DAY 3 READING 1 mmHg
sysd3r2 SYSTOLIC BP DAY 3 READING 2 mmHg
diasd3r2 DIASTOLIC BP DAY 3 READING 2 mmHg
sysd3r3 SYSTOLIC BP DAY 3 READING 3 mmHg
diasd3r3 DIASTOLIC BP DAY 3 READING 3 mmHg

999: Missing bloodpressure data.

FEV

Data on 654 children seen in the Childhood Respiratory Disease Study6 in East Boston Massachusetts in 1980. Forced Expiratory Volumne (FEF), an index of pulmonary function was measured, along with, age, height, sex and smoking status.

FEV is the volume of air (in liters) that can be expelled from the lungs in one second.

Usefull for demonstrating linear regressions, also multiple linear regression with categorical interactions, and change in FEV as a function of height and sex.

Dimensions: Rows: 654 Columns: 6

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Variable Description Unit
Id ID number
Age Age years
FEV FEV l
Hgt Height in
Sex Sex
0 = female
1 = male
Smoke Smoking Status
0 = non-current smoker
1 = current smoker

FIELD

Data from a study of the ocular disease Retinitis pigmentosoa (RP). The condition can result in substantial loss of vision, in some cases complete blindness. It has been discovered that this disease is linked to two genes. Mutations in the rhodosin gene RHO account for many cases that are predominantly inherited, whereas mutations in the RPGR gene account for many sex-linked cases; only males can have the RPGR mutation. The study measures the visual field of approx. 100 patients in each group (RHO and RPGR). The field of vision is measured in °2.

Are there differences in the baseline level of visual field between the two groups? Does the rate of decline differ between the two groups?

Dimensions: Rows: 1326 Columns: 8

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Variable Description unit
id ID
group group
1 = RHO
2 = RPGR
age age at visit years
gender gender
1 = m
2 = f
dtvisit date of visit (month/day/year)
folowup time from 1st visit years
totfldod total field area right eye (OD) °2
totfldos total field area left eye (OS) °2

Note: all RPGR individuals have to be male

HEART

A dataset showing the prevalence of different heart conditions, in different populations, and of different symptoms.

Dimensions: Rows: 7 Columns: 9

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Variable code
Diagnosis Y1 = normal
Y2 = atrial septal defect without pulmonary stenosis or pulmonary hypertension
Y3 = ventricular septal defect with valvular pulmonary stenosis
Y4 = isolated pulmonary hypertension
Y5 = transposed great vessels
Y6 = ventricular septal defect without pulmonary hypertension
Y7 = ventricular septal defect with pulmonary hypertension
Prevalence Prevalence
X1 age 1-20 years old
X2 age>20 years old
X3 mild cyanosis
X4 easy fatigue
X5 chest pain
X6 repeated respiratory infections
X7 EKG axis more than 110

HORMONE

Data on the influence of four hormones, compared with a saline solution on the pancreatic and biliary secretions in laying hens. White leghorn hens, aged 14-29 weeks, were fitted with cannulas for collection of pancreatic and biliary secretions, and a jugular cannula for infusion of the hormones. One trial pr day was performed, until the jugular cannula stopped working - therefore there are a different number of observations pr. hen.

Each trial

Dimensions: Rows: 398 Columns: 11

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Variable Description/Code unit
ID ID
Bilsecpr Biliary secretion-pre µl/min
Bilphpr Biliary pH-pre pH
Pansecpr Pancreatic secretion-pre µl/min
Panphpr Pancreatic pH-pre pH
Dose Dose APP: ng/mL plasma
CKK, VIP, SEC: µg/kg/h
Bilsecpt Biliary secretion-post µl/min
Bilphpt Biliary pH-post pH
Pansecpt Pancreatic secretion-post µl/min
Panphpt Pancreatic pH-post pH
Hormone Hormone
1 = SAL
2 = APP
3 = CCK
4=SEC
5=VIP

A value of 0 for pH indicate missing values.

  • SAL: Saline
  • APP: Avian pancreatic polypeptide
  • CCK: Cholecystokinin
  • SEC: Secretine
  • VIP: Vasoactive intestinal peptide

HOSPITAL

Dimensions: Rows: 25 Columns: 9

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Variable Label unit
Id id no.
Dur_stay Duration of hospital stay
Age Age
Sex Sex
1 = male
2 = female
Temp First temperature following admission
WBC First WBC(x1000) following admission
Antibio Received antibiotic
1 = yes
2 = no
Bact_cul Received bacterial culture
1 = yes
2 = no
Service Service
1 = med
2 = surg.

Fra studie af antibiotikabrug på et hospital i Pennsylvania. Baseret på journaler fra patienter der er udskrevet. WBC er “White Bloodcell Count”.

Det kan have klinisk interesse om længden af indlæggelse er afhængig af om patienterne modtager antibiotika behandling.

Yderligere reference:

Townsend, T.R., Shapiro, M., Rosner, B. & Kass, E.H. (1979) Journal of Infectious Diseases, 139(6) 688-697.

INFANTBP

Dimensions: Rows: 100 Columns: 18

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Salt Taste Variables

Variable Description unit
ID
Mn_sbp Mean SBP 99.99=missing
Mn_dbp Mean DBP 99.99=missing
MSB1slt MSB-trial 1* water
MSB2slt MSB-trial 2 water
MSB3slt MSB-trial 3 0.1 molar salt + water
MSB4slt MSB-trial 4 0.1 molar salt + water
MSB5slt MSB-trial 5 water
MSB6slt MSB-trial 6 water
MSB7slt MSB-trial 7 0.3 molar salt + water
MSB8slt MSB-trial 8 0.3 molar salt + water
MSB9slt MSB-trial 9 water
MSB10slt MSB-trial 10 water

Sugar Taste Variables

Variable Description
MSB1sug MSB-trial 1 non-nutritive sucking
MSB2sug MSB-trial 2 water
MSB3sug MSB-trial 3 5% sucrose + water
MSB4sug MSB-trial 4 15% sucrose + water
MSB5sug MSB-trial 5 non-nutritive sucking
  • for MSB data 999.99 is a missing value; 0 indicates the baby did not suck.

LEAD

Dimensions: Rows: 124 Columns: 40

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VARIABLE DESCRIPTION
id IDENTIFICATION NUMBER
area AREA - RESIDENCE ON AUG’72
1 = 0-1 MILES FROM SMELTER
2 = 1-2.5 MILES
3 = 2.5-4.1 MILES
ageyrs AGE in years
sex SEX
1 = MALE
2 = FEMALE

IQ TEST RESULTS

VARIABLE DESCRIPTION
iqv_inf INF - INFORMATION SUBTEST IN WISC AND WPPSI
iqv_comp COMP - COMPREHENSION SUBTEST IN WISC AND WPPSI
iqv_ar AR - ARITHMETIC SUBTEST IN WISC AND WPPSI
iqv_ds DS - DIGIT SPAN SUBTEST(WISC) AND SENTENCE COMPLETION(WPPSI)
iqv_raw V/RAW - RAW SCORE/VERBAL IQ
iqp_pc PC - PICTURE COMPLETION SUBTEST IN WISC AND WPPSI
iqp_bd BD - BLOCK DESIGN SUBTEST IN WISC AND WPPSI
iqp_oa OA - OBJECT ASSEMBLY SUBTEST(WISC), ANIMAL HOUSE SUBTEST(WPPSI)
iqp_cod COD - CODING SUBTEST(WISC), GEOMETRIC DESIGN SUBTEST(WPPSI)
iqp_raw P/RAW - RAW SCORE/PERFORMANCE IQ (TOTAL OF SCORES PC, BD, OA, & COD)
hh_index HH/INDEX - HOLLINGSHEAD INDEX OF SOCIAL STATUS
iqv IQV - VERBAL IQ
iqp IQP - PERFORMANCE IQ
iqf IQF - FULL SCALE IQ (NOT SUM OR AVERAGE OF IQV D IQP)
iq_type TYPE OF IQ TEST
1 = WISC
2 = WPPSI
(WISC USUALLY GIVEN TO CHILDREN GE 5 YRS 1 MONTH OF AGE
WPPSI USUALLY GIVEN TO CHILDREN LE 5YRS OF AGE)
lead_grp GROUP - BLOOD LEAD LEVEL GROUP
1=BLOOD LEAD LEVELS BELOW 40 MICROGRAMS/100ML IN
BOTH 1972 & 1973 (control group)
2=BLOOD LEAD LEVELS GREATER THAN OR EQUAL TO
40 MICROGRAMS/100ML
IN BOTH 72 & 73 OR A LEVEL GREATER THAN OR
EQUAL TO 40
IN 73 ALONE (3 CASES ONLY) (currently exposed
Group)
3=BLOOD LEAD LEVELS GREATER THAN OR EQUAL TO
40 MICROGRAMS/100ML
IN 72 AND LESS THAN 40 IN 73
(previously exposed group)
Group 1=control group; 2=exposed group
ld72 LD72 - BLOOD LEAD VALUES (MICROGRAMS/100ML) IN72
MISSING=99
ld73 LD73 - BLOOD LEAD VALUES (MICROGRAMS/100ML) IN 73
fst2yrs FST2YRS - DID CHILD LIVE FOR 1ST 2 YRS WITHIN
1 MILE OF SMELTER 1=YES 2=NO
totyrs TOTYRS - TOTAL NUMBER OF YEARS SPENT WITHIN
4.1 MILES OF SMELTER

SYMPTOM DATA (AS REPORTED BY PARENTS)

VARIABLE DESCRIPTION
pica PICA
1 = YES
2 = NO
colic COLIC
1 = YES
2 = NO
clumsi CLUMSINESS
1 = YES
2 = NO
irrit IRRITABILITY
1 = YES
2 = NO
convul CONVULSIONS
1 = YES
2 = NO

CONTAIN NEUROLOGICAL TEST DATA

VARIABLE DESCRIPTION
_2plat_r # OF TAPS FOR RIGHT HAND IN THE 2-PLATE TAPPING
TEST (#TAPS IN ONE 10 SECOND TRIAL)
MISSING=99
_2plat_l # OF TAPS FOR LEFT HAND IN THE 2-PLATE TAPPING TEST
(#TAPS IN ONE 10 SECOND TRIAL)
MISSING=99
visrea_r VISUAL REACTION TIME RIGHT HAND (MILLISECONDS)
MISSING=99
visrea_l VISUAL REATION TIME LEFT HAND (MILLISECONDS)
MISSING=99
audrea_r AUDITORY REACTION TIME RIGHT HAND (MILLISECONDS)
MISSING=99
audrea_l AUDITORY REACTION TIME LEFT HAND (MILLISECONDS)
MISSING=99
fwt_r FINGER-WRIST TAPPING TEST RIGHT HAND
(# TAPS IN ONE 10 SECOND TRIAL)
MISSING=99
fwt_l FINGER-WRIST TAPPING TEST LEFT HAND
(#TAPS IN ONE 10 SECOND TRIAL)
MISSING=99
hyperact WWPS - WERRY-WEISS-PETERS SCALE FOR HYPERACTIVITY
0=NO ACTIVITY . . . . 4=SEVERLY HYPERACTIVE
(AS REPORTED BY PARENTS) MISSING=99
maxfwt Finger-wrist tapping test in dominant hand(max of fwt_r,fwt_l)

MICE

Dimensions: Rows: 240 Columns: 6

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Variable Description unit
Id ID
Group
1 = RP
2 = NORMAL
Trtgrp TREATMENT GROUP
A = LIGHT
B = DIM
C = DARK
Age AGE days
B_amp B AMP
A_amp A AMP

9999 = missing.

NEPHRO

Data from a litterature study5 on nephrotoxicity of of several different aminoclycosides.

Note that this dataset is closely related to the datasets EFF and OTO, where EFF reports efficacy of the preparations, and OTO reports a combination of efficacy and side effects.

We get the sample size of patients in different studies, and the number of patients that experienced nephrotoxicity. Which antibiotic is best?

Dimensions: Rows: 72 Columns: 6

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Variable Description/Code
name Study name
id Study number
Endpnt Endpoint 2=nephrotoxicity
Antibio Antibiotic
1=Amikacin
2=Gentamicin
3=Netilmicin
4=Sisomycin
5=Tobramycin
Samp_sz Sample size
Side_eff Number with side effects

NIFED

Dimensions: Rows: 34 Columns: 10

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Variable Description Code
Id ID
trtgrp Treatment group N=nifedipine/P=placebo
bashrtrt Baseline heart rate* beats/min
lv1hrtrt Level 1 heart rate+ beats/min
lv2hrtrt Level 2 heart rate beats/min
lv3hrtrt Level 3 heart rate beats/min
bassys Baseline systolic bp* mm Hg
lv1sys Level 1 systolic bp mm Hg
lv2sys Level 2 systolic bp mm Hg
lv3sys Level 3 systolic bp mm Hg
  • Immediately prior to randomization.

  • Highest heart rate and systolic blood pressure at baseline and each level of therapy respectively.

Values of 999 indicates that either

  1. the patient withdrew from the study prior to entering this level of therapy

  2. the patient achieved pain relief prior to reaching this level or therapy,

  3. the patient encountered this level of therapy, but this particular piece of data was missing.

OTO

Data from a litterature study5 on nephro- and ototoxicity and efficacy of of several different aminoclycosides.

Note that this dataset is closely related to the datasets EFF and NEPHRO, where EFF reports efficacy of the preparations, and NEPHRO reports on nephrotoxicity.

We get the sample size of patients in different studies, and the number of patients that experienced sideeffects. Which antibiotic is best?

Dimensions: Rows: 50 Columns: 6

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Variable Description/Code
Name Study Name
Id Study Number
Endpnt Endpoint
1 = efficacy
2 = nephrotoxicity
3 = ototoxicity
Antibio Antibiotic
1 = Amikacin
2 = Gentamicin
3 = Netilmicin
4 = Sisomycin
5 = Tobramycin
Samp_sz Sample Size
Side_eff Number with side effect

PIRIFORM

Dimensions: Rows: 631 Columns: 5

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Variable Code
ID
piriform Piriformis Syndrome
1 = Negative
2 = Positive
sex Sex
1 = Male
2 = Female
Age
maxchg Max change between tibia and peroneal

SEXRAT

Dimensions: Rows: 60 Columns: 8

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Variable code
nm_chld+ Number of children
sx_1 Sex of 1st born
sx_2 Sex of 2nd born
sx_3 Sex of 3rd born
sx_4 Sex of 4th born
sx_5 Sex of 5th born
sexchldn* Sex of all children
num_fam** Number of families
  • For families with 5+ children, the sex of the first 5 children are listed. The number of children is given as 5 for such families.

  • The sex of successive births is given. Thus, MMMF means that the first three children were males and the fourth child was a female. There were 484 such families.

** Number of families with specific gender contribution of children

SMOKE

Dimensions: Rows: 234 Columns: 8

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Variable Code unit
ID ID number
Age age
Gender Gender

1 = male
2 = female
Cig_day Cigarettes/day
CO Carbon monoxide (CO) (X 10)
Min_last Minutes elapsed since last cigarette
LogCOadj Log CO Adj * (X 1000)
Day_abs Days abstinent Those abstinent less than 1 day
were given a value of zero.

999 and 9999 = missing values

  • This variable represents adjusted carbon monoxide (CO) values. CO values were adjusted for minutes elapsed since last cigarette smoked using the formula Log 10 CO (Adjusted) = Log 10 CO - (-0.000638) X (Min - 80), where Min is the number of minutes elapsed since the last cigarette smoked.

SWISS

Dimensions: Rows: 300 Columns: 10

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Variable Codes unit
ID ID
age age years
group Group
1 = High NAPAP
2 = Low NAPAP
3 = control
creat_68 Serum Creatinine 1968 (mg/dL)
creat_69 Serum Creatinine 1969 (mg/dL)
creat_70 Serum Creatinine 1970 (mg/dL)
creat_71 Serum Creatinine 1971 (mg/dL)
creat_72 Serum Creatinine 1972 (mg/dL)
creat_75 Serum Creatinine 1975 (mg/dL)
creat_78 Serum Creatinine 1978 (mg/dL)

For all creat_xx: 9.99 indicates missing data, i.e. NA-values.

TEAR

Dimensions: Rows: 14 Columns: 61

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Variable Code
ID
od3bas1 OD 3sec baseline 1
od3bas2 OD 3 sec baseline 2
od3im1 OD 3 sec immediately post 1
od3im2 OD 3 sec immediately post 2
od3pst51 OD 3 sec 5min post 1
od3pst52 OD 3 sec 5min post 2
od3pt101 OD 3 sec 10min post 1
od3pt102 OD 3 sec 10min post 2
od3pt151 OD 3 sec 15min post 1
od3pt152 OD 3 sec 15min post 2
os3bas1 OS 3sec baseline 1
os3bas2 OS 3 sec baseline 2
os3im1 OS 3 sec immediately post 1
os3im2 OS 3 sec immediately post 2
os3pst51 OS 3 sec 5min post 1
os3pst52 OS 3 sec 5min post 2
os3pt101 OS 3 sec 10min post 1
os3pt102 OS 3 sec 10min post 2
os3pt151 OS 3 sec 15min post 1
os3pt152 OS 3 sec 15min post 2
od6bas1 OD 6 sec baseline 1
od6bas2 OD 6 sec baseline 2
od6im1 OD 6 sec immediately post 1
od6im2 OD 6 sec immediately post 2
od6pst51 OD 6 sec 5min post 1
od6pst52 OD 6 sec 5min post 2
od6pt101 OD 6 sec 10min post 1
od6pt102 OD 6 sec 10min post 2
od6pt151 OD 6 sec 15min post 1
od6pt152 OD 6 sec 15min post 2
os6bas1 OS 6 sec baseline 1
os6bas2 OS 6 sec baseline 2
os6im1 OS 6 sec immediately post 1
os6im2 OS 6 sec immediately post 2
os6pst51 OS 6 sec 5min post 1
os6pst52 OS 6 sec 5min post 2
os6pt101 OS 6 sec 10min post 1
os6pt102 OS 6 sec 10min post 2
os6pt151 OS 6 sec 15min post 1
os6pt152 OS 6 sec 15min post 2
od10bas1 OD 10 sec baseline 1
od10bas2 OD 10 sec baseline 2
od10im1 OD 10 sec immediately post 1
od10im2 OD 10 sec immediately post 2
od10ps51 OD 10 sec 5min post 1
od10ps52 OD 10 sec 5min post 2
od10p101 OD 10 sec 10min post 1
od10p102 OD 10 sec 10min post 2
od10p151 OD 10 sec 15min post 1
od10p152 OD 10 sec 15min post 2
os10bas1 OS 10 sec baseline 1
os10bas2 OS 10 sec baseline 2
os10im1 OS 10 sec immediately post 1
os10im2 OS 10 sec immediately post 2
os10ps51 OS 10 sec 5min post 1
os10ps52 OS 10 sec 5min post 2
os10p101 OS 10 sec 10min post 1
os10p102 OS 10 sec 10min post 2
os10p151 OS 10 sec 15min post 1
os10p152 OS 10 sec 15min post 2

TEMPERAT

Dimensions: Rows: 630 Columns: 6

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Variable LABEL unit
Date DATE (MDY)
Out_temp OUTSIDE TEMERATURE °F
Room ROOM LOCATION
In_temp INSIDE TEMPERATURE °F
Cor_fac CORRECTION FACTOR ADDED
1 = YES
0 = NO)
Typ_wea TYPE OF WEATHER
1 = SUNNY
2 = PARTLY CLOUDY
3 = CLOUDY
4 = RAINY
5 = FOGGY
9 = MISSING

TENNIS1

Dimensions: Rows: 444 Columns: 12

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VARIABLE VARIABLE NAME unit
Id ID
Age AGE 99=MISSING
Sex SEX
1 = MALE
2 = FEMALE
Num_epis NUMBER OF EPISODES OF TENNIS ELBOW 9=MISSING
Typ_last TYPE OF RACQUET USED DURING LAST EPISODE
1 = CONVENTIONAL SIZE
2 = MID-SIZE
3 = OVER-SIZE
9 = MISSING
Wgt_last WEIGHT OF RACQUET USED DURING LAST EPISODE
1=HEAVY
2=MEDIUM
3=LIGHT
4=DON’T KNOW
9=MISSING
Mat_last MATERIAL OF RACQUET USED DURING LAST EPISODE
1=WOOD
2=ALUMINUM
3=FIBERGLASS AND COMPOSITE
4=GRAPHITE
5=STEEL
6=COMPOSITE
7=OTHER
9=MISSING
Str_last STRING TYPE OF RACQUET USED DURING LAST EPISODE
1=NYLON
2=GUT
3=DON’T KNOW
9=MISSING
Typ_curr TYPE OF RACQUET USED CURRENTLY
1 = CONVENTIONAL SIZE
2 = MID-SIZE
3 = OVER-SIZE
9 = MISSING
Wgt_curr WEIGHT OF RACQUET USED CURRENTLY
1 = HEAVY
2 = MEDIUM
3 = LIGHT
4 = DON’T KNOW
9 = MISSING
Mat_curr MATERIAL OF RACQUET USED CURRENTLY
1 = WOOD
2 = ALUMINUM
3 = FIBERGLASS AND COMPOSITE
4 = GRAPHITE
5 = STEEL
6 = COMPOSITE
7 = OTHER
9 = MISSING
Str_curr STRING TYPE OF RACQUET USED CURRENTLY
1 = NYLON
2 = GUT
3 = DON’T KNOW
9 = MISSING

TENNIS2

Dimensions: Rows: 88 Columns: 16

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VARIABLE PERIOD* VARIABLE NAME
id ID
age AGE
sex SEX
1 = MALE
2 = FEMALE
9 = MISSING
drg_ord DRUG ORDER
1 = MOTRIN-PLACEBO
2 = PLACEBO-MOTRIN
painmx_2 2 DURING STUDY PERIOD, PAIN DURING MAXIMUM ACTIVITY VS
BAESLINE
1 = WORST
2 = UNCHANGED
3 = SLIGHTLY IMPROVED (25%)
4 = MODERATELY IMPROVED (50%)
5 = MOSTLY IMPROVED (75%)
6 = COMPLETELY IMPROVED
9 = MISSING
pain12_2 2 WITHIN 12 HOURS FOLLOWING MAXIMAL ACTIVITY, COMPARED TO
SAME PERIOD AT BASELINE (SAME CODE AS painmx_2)
painav_2 2 DURING THE AVERAGE DAY OF STUDY PERIOD PAIN VS. BASELINE
(SAME CODE AS painmx_2)
painov_2 2 OVERALL IMPRESSION OF DRUG EFFICACY VS. BASELINE (SAME CODE AS painmx_2)
painmx_3 3 DURING STUDY PERIOD, PAIN DURING MAXIMUM ACTIVITY VS
BASELINE (SAME CODE AS painmx_2)
pain12_3 3 WITHIN 12 HOURS FOLLOWING MAXIMAL ACTIVITY, COMPARED TO
SAME PERIOD AT BASELINE (SAME CODE AS painmx_2)
painav_3 3 DURING THE AVERAGE DAY OF STUDY PERIOD PAIN VS BASELINE
(SAME CODE AS painmx_2)
painov_3 3 OVERALL IMPRESSION OF DRUG EFFICACY VS BASELINE
(SAME CODE AS painmx_2)
painmx_4 4 DURING STUDY PERIOD, PAIN DURING MAXIMUM ACTIVITY VS
BASELINE (SAME CODE AS painmx_2)
pain12_4 4 WITHIN 12 HOURS FOLLOWING MAXIMAL ACTIVITY, COMPARED TO
SAME PERIOD AT BASELINE (SAME CODE AS painmx_2)
painav_4 4 DURING THE AVERAGE DAY OF STUDY PERIOD PAIN VS BASELINE
(SAME CODE AS painmx_2)
painov_4 4 OVERALL IMPRESSION OF DRUG EFFICACY VS BASELINE
(SAME CODE AS painmx_2)
  • PERIOD 2 = PAIN SCORES AFTER THE FIRST ACTIVE DRUG PERIOD COMPARED WITH BASELINE

    PERIOD 3 = PAIN SCORES AFTER THE WASHOUT PERIOD COMPARED WITH BASELINE

    PERIOD 4 = PAIN SCORES AFTER THE SECOND ACTIVE DRUG PERIOD COMPARED WITH BASELINE

VALID

Dimensions: Rows: 173 Columns: 9

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Variable Description unit
Id ID number
sfat_dr Saturated fat-DR
sfat_ffq Saturated fat-FFQ
tfat_dr Total fat-DR
tfat_ffq Total fat-FFQ
alco_dr Alcohol consumption-DR
alco_ffq Alcohol consumption-FFQ
cal_dr Total calories-DR
cal_ffq Total calories-FFQ

spermatozoa

Data from a 7 year longitudinal study started in spring 1975 in Edinburgh. Two classes at an elementary school participated and informed consent were collected from 40 of the 42 boys in the classes. Every 3 months a 24 hour urine sample were collected from each boy. These samples were analyzed for the precense of spermatozoa. In the variable observations are registered the result of each urine sample.

The purpose of the study was to determine age of spermache.

The format of observations is unusual and suitable for cleaning exercises.

Det kan godt være vi lige skal kigge på:For further details about the study see Nielsen et al. (1986a, 1986b). mere præcist: Nielsen, C. T., Skakkebxk, N. E., Darling, J. A. B., Hunter, W. M., Richardson, D. W., Jorgensen, M., and Keiding, N. (1986a). Longitudinal study of testosterone and luteinizing hormone (LH) in relation to spermarche, pubic hair, height and sitting height in normal boys. Acta Endocrinologica 113, Supplementum 279, 98-106.

Nielsen, C. T., Skakkebxk, N. E., Richardson, D. W., Darling, J. A. B., Hunter, W. M., J0rgensen, M., Nielsen, A., Ingerslev, O., Keiding, N., and Muller, J. (1986b). Onset of the release of spermatozoa (spermarche) in boys in relation to age, testicular growth, pubic hair and height. Journal of Clinical Endocrinology and Metabolism 62, 532–535.

Dimensions: Rows: 40 Columns: 5

Også Rosner…

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Variable Description unit
boy ID
first_positive Age at first spermatozoa-positive urine sample years
entry Age at start of study years
exit Age at end of study (eg. exit from study) years
observations Spermatozoa-positive urine samples
+ = positive
- = negative

who

Dimensions: Rows: 405440 Columns: 10

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NB: Filen er semikolon-separeret

Variable Description Unit
country Landenavn
iso2 ISO2 countrycode
iso3 ISO3 countrycode
year year XXXX
new Artefakt fra databehandling Alle felter er “new”
diag Diagnostisk metode *
sex Sex
m = male
f = female
age_low Nedre aldersinterval year
age_high Øvre aldersinterval year
value Antal observerede tilfælde af TB

) diagnostisk metode sp positive pulmonary smear * ne Negative pulmonary smear * ep extrapulmonary * relapse

References


Bortset fra who-sættet, der er en modificeret udgave af datasættet who fra tidyr-pakken.

Den oprindelige kilde til det datasæt: https://www.who.int/teams/global-tuberculosis-programme/data

@misc{misc_wine_109, author = {Aeberhard,Stefan and Forina,M.}, title = {{Wine}}, year = {1991}, howpublished = {UCI Machine Learning Repository}, note = {{DOI}: https://doi.org/10.24432/C5PC7J} }

1: Rosner, Bernard A. Fundamentals of Biostatistics, 7/e, International Edition, 2011 ISBN: 9780538735896. https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9780538733496&token

2: Hopper, J.H. & Seeman, E (1994). The bone density of female twins discordant for tobacco use. New England Journal of Medicine, 330, 387-392.

3: Mandel, E., Bluestone, C.D., Rockette, H.E., Blatter, M.M., Reisinger, K.S., Wucher, E.P. & Harper, J. 1982, Duration of effusion after antibiotic treatment for acute otitis media: Comparison of cefaclor and amoxicillin. Pediatric Infections Diseases, 1, 310-316.

4: Jorgensen, Merete; Keiding, Niels; Skakkebaek, Niels Erik. Estimation of Spermarche from Longitudinal Spermaturia Data Biometrics, Vol. 47, No. 1 (Mar., 1991), pp. 177-193 https://doi.org/10.2307/2532505 https://www.jstor.org/stable/2532505

5: Buring, J.E, Evans, D.A., Mayrent, S.L. Rosner, B. Colton, T & Hennekens, C.H. (1988). Randomized trials of aminoglycoside antibiotics. Reviews of Infectious Disease, 10(5) 951-957.

6: Tage, I.B., Weiss, S.T., Rosner, B. & Speizer, F.E. (1979), Effect of parental cigarette smoking on pulmonary function in children. American Journal of Epidemiology, 110, 15-26.

listen over datasæt.


Der hakkes af efterhånden som de er færdige - og så er issue 113 done.

  • hormone
  • hospital
  • infantbp
  • lead
  • mice
  • nephro
  • nifed
  • oto
  • piriform
  • sexrat
  • smoke
  • swiss
  • tear
  • temperat
  • tennis1
  • tennis2
  • valid
  • spermatozoa
  • who