Richard J. Rossi - Applied Biostatistics for the Health Sciences

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APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES
APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES Applied Biostatistics for the Health Sciences
Applied Biostatistics for the Health Sciences

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1.4.1 Birth Weight Data Set

The Birth Weight data set consists of data collected on 189 women to identify the risk factors associated with the birth of a low birth weight baby. The data set was collected at the Baystate Medical Center in Springfield, Massachusetts. The variables included in this data set are summarized in Table 1.1.

Table 1.1 A Description of the Variables in the Birth Weight Data Set

Variable Description Codes/Values Name
1 Identification code ID number ID
2 Low birth weight 1 = BWT≤2500 g LOW
0 = BWT>2500 g
3 Age of mother Years AGE
4 Weight of mother at Pounds LWT
last menstrual period
5 Race 1 = White RACE
2 = Black
3 = Other
6 Smoking status during pregnancy 0 = No SMOKE
1 = Yes
7 History of premature labor 0 = None PTL
1 = One
2 = Two, etc.
8 History of hypertension 0 = No HT
1 = Yes
9 Presence of uterine irritability 0 = No UI
1 = Yes
10 Number of physician visits 0 = None FTV
during the first trimester 1 = One
2 = Two, etc.
11 Birth weight Grams BWT

1.4.2 Body Fat Data Set

The Body Fat data set consists of data collected on 252 adult males. The data were originally collected to build a model relating body density and percentage of body fat in adult males to several body measurement variables. These data were originally used in the article “Generalized body composition prediction equation for men using simple measurement techniques,” published in Medicine and Science in Sports and Exercise (Penrose et al., 1985). The variables included in this data set are summarized in Table 1.2. Two data sets have also been created from the Body Fat data set. These data sets have the same variables as the Body Fat data set and were formed by randomly sampling the Body Fat data set to create a training set of 189 observations called bodyfat-tr.xlsx and a validation set or 63 observations called bodyfat-val.xlsx. These data sets are used in the model validation sections of the text.

Table 1.2 A Description of the Variables in the Body Fat Data Set

Variable Description Codes/Values Name
1 Density determined from Density Density
underwater weighing
2 Percent body fat Percent Percentage PCTBF
from Siri’s (1956) equation
3 Age in years Years Age
4 Weight in pounds Pounds Weight
5 Height in inches Inches Height
6 Neck circumference Centimeters Neck
7 Chest circumference Centimeters Chest
8 Abdomen circumference Centimeters Abdomen
9 Hip circumference Centimeters Hip
10 Thigh circumference Centimeters Thigh
11 Knee circumference Centimeters Knee
12 Ankle circumference Centimeters Ankle
13 Biceps extended circumference Centimeters Biceps
14 Forearm circumference Centimeters Forearm
15 Wrist circumference Centimeters Wrist
16 Body Mass Index BMI BMI
17 Overweight indicator 0 = Not Overweight Overweight
1 = Yes
18 Obese indicator 0 = Not Obese Obese
1 = Yes

1.4.3 Coronary Heart Disease Data Set

The Coronary Heart Disease data set consists of 100 observations on patients who were selected in a study on the relationship between the age and the presence of coronary heart disease. The variables included in this data set are summarized in Table 1.3.

Table 1.3 A Description of the Variables in the Coronary Heart Disease Data Set

Variable Description Codes/Values Name
1 Identification code ID number ID
2 Age in years Years Age
3 Coronary heart disease 0 = Absent CHD
1 = Present

1.4.4 Prostate Cancer Study Data Set

The Prostate Cancer Study data set consists of 380 patients in a study to determine whether the variables measured at a baseline medical examination can be used to predict whether the prostatic tumor has penetrated a prostatic capsule. The data were collected by Dr. Donn Young at the Ohio State University Comprehensive Cancer Center and the data have been modified to protect subject confidentiality. Variables included in this data set are summarized in Table 1.4.

Table 1.4 A Description of the Variables in the Prostate Cancer Study Data Set

Variable Description Codes/values Name
1 Identification code ID number ID
2 Tumor penetration of 0 = No penetration CAPSULE
prostatic capsule 1 = Penetration
3 Age Years AGE
4 Race 1 = White RACE
2 = Black
5 Results of the digital 1 = No nodule DPROS
rectal exam 2 = Unilobar nodule (left)
3 = Unilobar nodule (right)
4 = Bilobar nodule
6 Detection of capsular 1 = No DCAPS
involvement in rectal exam 2 = Yes
7 Prostatic-specific mg/ml PSA
antigen value
8 Tumor volume obtained cm 3 VOL
from ultrasound
9 Total Gleason score 0–10 GLEASON

1.4.5 Intensive Care Unit Data Set

The Intensive Care Unit data set consists of 200 observations on subjects involved in a study on the survival of patients following admission to an adult intensive care unit (ICU). The data set was collected at the Baystate Medical Center in Springfield, Massachusetts, and the variables included in this data set are summarized in Table 1.5.

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