Richard J. Rossi - Applied Biostatistics for the Health Sciences
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- Название: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
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Table 1.5 A Description of the Variables in the Intensive Care Unit Data Set
| Variable | Description | Codes/values | Name |
|---|---|---|---|
| 1 | Identification code | ID number | ID |
| 2 | Vital status | 0 = Lived | STA |
| 1 = Died | |||
| 3 | Age | Years | AGE |
| 4 | Sex | 0 = Male | SEX |
| 1 = Female | |||
| 5 | Race | 1 = White | RACE |
| 2 = Black | |||
| 3 = Other | |||
| 6 | Service at ICU admission | 0 = Medical | SER |
| 1 = Surgical | |||
| 7 | Cancer part of | 0 = No | CAN |
| present problem | 1 = Yes | ||
| 8 | History of chronic | 0 = No | CRN |
| renal failure | 1 = Yes | ||
| 9 | Infection probable at | 0 = No | INF |
| ICU admission | 1 = Yes | ||
| 10 | CPR prior to | 0 = No | CPR |
| ICU admission | 1 = Yes | ||
| 11 | Systolic blood pressure | mmHg | SYS |
| at ICU admission | |||
| 12 | Heart rate at | Beats/min | HRA |
| ICU admission | |||
| 13 | Previous admission to an | 0 = No | PRE |
| ICU within 6 months | 1 = Yes | ||
| 14 | Type of admission | 0 = Elective | TYP |
| 1 = Emergency | |||
| 15 | Long bone, multiple, neck | 0 = No | FRA |
| single area, or hip fracture | 1 = Yes | ||
| 16 | pO2 from initial | 0 = > 60 | PO2 |
| blood gases | 1 = < 60 | ||
| 17 | pH from initial | 0 = > 7.25 | PH |
| blood gases | 1 = < 7.25 | ||
| 18 | pCO2 from initial | 0 = < 45 | PCO |
| blood gases | 1 = > 45 | ||
| 19 | Bicarbonate from | 0 = > 18 | BIC |
| Initial blood gases | 1 = < 18 | ||
| 20 | Creatinine from | 0 = < 2.0 | CRE |
| initial blood gases | 1 = > 2.0 | ||
| 21 | Level of consciousness | 0 = No coma or stupor | LOC |
| at ICU admission | 1 = Deep stupor | ||
| 2 = Coma |
1.4.6 Mammography Experience Study Data Set
The Mammography Experience Study data set consists of 412 observations on subjects from a study designed to investigate the factors associated with a woman’s knowledge, attitude, and behavior toward mammography exams. The data were collected by Dr. J. Zapka and Ms. D. Spotts of the University of Massachusetts, Division of Public Health. The variables included in this data set are summarized in Table 1.6.
Table 1.6 A Description of the Variables in the Mammography Experience Data Set
| Variable | Description | Codes/Values | Name |
|---|---|---|---|
| 1 | Identification code | ID number | OBS |
| 2 | Mammograph experience | 0 = Never | ME |
| 1 = Within 1 year | |||
| 2 = Over 1 year ago | |||
| 3 | “You do not need a mammogram unless | 1 = Strongly agree | SYMPT |
| you develop symptoms” | 2 = Agree | ||
| 3 = Disagree | |||
| 4 = Strongly disagree | |||
| 4 | Perceived benefit of mammography | 5–20 | PB |
| 5 | Mother or sister with a history | 0 = No | HIST |
| of breast cancer | 1 = Yes | ||
| 6 | “Has anyone taught you how to | 0 = No | BSE |
| examine your own breasts: that is BSE” | 1 = Yes | ||
| 7 | “How likely is it that a mammogram | 1 = Not likely | DETC |
| could find a new case of | 2 = Somewhat likely | ||
| breast cancer” | 3 = Very likely |
1.4.7 Benign Breast Disease Study
The Benign Breast Disease Study data set consists of data collected from 200 women in a case–control study designed to investigate the risk factors associated with benign breast disease at two hospitals in New Haven, Connecticut. The variables included in this data set are summarized in Table 1.7.
Table 1.7 A Description of the Variables in the Benign Breast Disease Study Data Set
| Variable | Description | Codes/Values | Name |
|---|---|---|---|
| 1 | Stratum | 1–50 | STR |
| 2 | Observation within a stratum | 1 = Case | OBS |
| 2–4 = Control | |||
| 3 | Age of the subject at | Years | AGMT |
| the interview | |||
| 4 | Final diagnosis | 1 = Case | FNDX |
| 0 = Control | |||
| 5 | Highest grade in school | HIGD | |
| 6 | Degree | 0 = None | DEG |
| 1 = High school | |||
| 2 = Jr. college | |||
| 3 = College | |||
| 4 = Masters | |||
| 5 = Doctoral | |||
| 7 | Regular medical checkups | 1 = Yes | CHK |
| 2 = No | |||
| 8 | Age at first pregnancy | Years | AGP1 |
| 9 | Age at menarche | Years | AGMN |
| 10 | No. of stillbirths, miscarriages, etc. | NLV | |
| 11 | Number of live births | LIV | |
| 12 | Weight of the subject | Pounds | WT |
| 13 | Age at last menstrual period | Years | AGLP |
| 14 | Marital status | 1 = Married | MST |
| 2 = Divorced | |||
| 3 = Separated | |||
| 4 = Widowed | |||
| 5 = Never married |
1.4.8 Exerbike Data Sets
The Exerbike and Exerbike2 data sets consist of data collected on an individual’s exercise bike records. The variables in the Exerbike data set are summarized in Table 1.8, and the variables in the Exerbike2 data set are summarized in Table 1.9.
Table 1.8 A Description of the Variables in the Exerbike Data Set
| Variable | Description | Codes/Values | Name |
|---|---|---|---|
| 1 | Date of exercise session | mm/dd/yyyy | Date |
| 2 | Calories burned | Calories | Cals |
| 3 | Average heart rate | Beats per minute | HeartRate |
| 4 | Average speed | miles per hour | Speed |
| 5 | Distance ridden | Miles | Distance |
| 6 | Time ridden | Minutes | Time |
| 7 | Calories burned per minute | Calories/minute | Cals/m |
Table 1.9 A Description of the Variables in the Exerbike2 Data Set
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