A simulated dataset containing patient demographics and levels of various cancer biomarkers, along with cancer status and stage. Useful for evaluating diagnostic or prognostic performance of biomarkers.
Usage
data(cancer_biomarker_data)Format
A data frame with 500 rows and 11 variables:
- patient_id
Integer. Unique patient identifier.
- age
Integer. Patient's age in years.
- age_group
Character. Age group of the patient (e.g., "<50", "50-70", ">70").
- sex
Character. Sex of the patient (e.g., "Male", "Female").
- ca125
Numeric. Level of Cancer Antigen 125 biomarker.
- he4
Numeric. Level of Human Epididymis Protein 4 biomarker.
- cea
Numeric. Level of Carcinoembryonic Antigen biomarker.
- ca199
Numeric. Level of Carbohydrate Antigen 19-9 biomarker.
- roma_score
Numeric. Risk of Ovarian Malignancy Algorithm score.
- cancer_status
Character. Diagnosis of cancer (e.g., "Cancer", "Benign").
- stage
Character. Cancer stage if applicable (e.g., "I", "II", "III", "IV", or "Benign").
Examples
data(cancer_biomarker_data)
str(cancer_biomarker_data)
#> 'data.frame': 500 obs. of 11 variables:
#> $ patient_id : int 1 2 3 4 5 6 7 8 9 10 ...
#> $ age : int 63 34 30 54 65 57 67 60 60 75 ...
#> $ age_group : chr "Older" "Young" "Young" "Middle" ...
#> $ sex : chr "Female" "Female" "Male" "Male" ...
#> $ ca125 : num 106.2 152 40 157.6 20.8 ...
#> $ he4 : num 99.6 82.5 88.3 188.7 62.9 ...
#> $ cea : num 2.59 11.89 4.75 11.67 2.91 ...
#> $ ca199 : num 24.7 21.1 32.4 86.4 54.8 65.4 30.3 44.5 21 32.9 ...
#> $ roma_score : num 60.6 79.2 40.6 91.2 28.7 25.5 93.5 17.9 26.1 91.8 ...
#> $ cancer_status: chr "Cancer" "Cancer" "No Cancer" "Cancer" ...
#> $ stage : chr "Early" "Late" "N/A" "Late" ...
head(cancer_biomarker_data)
#> patient_id age age_group sex ca125 he4 cea ca199 roma_score
#> 1 1 63 Older Female 106.2 99.6 2.59 24.7 60.6
#> 2 2 34 Young Female 152.0 82.5 11.89 21.1 79.2
#> 3 3 30 Young Male 40.0 88.3 4.75 32.4 40.6
#> 4 4 54 Middle Male 157.6 188.7 11.67 86.4 91.2
#> 5 5 65 Older Male 20.8 62.9 2.91 54.8 28.7
#> 6 6 57 Older Female 20.7 47.0 2.21 65.4 25.5
#> cancer_status stage
#> 1 Cancer Early
#> 2 Cancer Late
#> 3 No Cancer N/A
#> 4 Cancer Late
#> 5 No Cancer N/A
#> 6 No Cancer N/A
summary(cancer_biomarker_data$ca125)
#> Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
#> 0.00 13.80 27.70 58.71 109.12 248.40 10
table(cancer_biomarker_data$cancer_status)
#>
#> Cancer No Cancer
#> 148 352