The task involves reading the SEER file, extracting relevant information, mapping cancer types using the ICD-O3 file, calculating occurrences based on sex and age groups, and saving the results in a CSV file. The script should print only the cancer types with valid ICD-O3 codes.
To find the total number of occurrences of various breast cancers separately for men and women in four age groups, you will need to follow these steps:
1. Read the SEER file: Start by reading the SEER file, which contains the data you need. Make sure to locate the necessary information based on the specified character positions. In this case, you will need to extract the sex, age at diagnosis, year of birth, histology type (ICD-O-3), and behavior code (ICD-O-3).
2. Read the ICD-O3 file: Next, read the ICD-O3 file to update the cancer type using the histology type (ICD-O-3) from the SEER file. This will ensure that the cancer names are included in the final output file.
3. Calculate the occurrences: Group the data by sex and age groups (0-24, 25-49, 50-74, 75+), and then calculate the total number of occurrences for each cancer type within each group. To do this, you will need to count the occurrences for men and women separately for each age group.
4. Save the output: Save the output in a .csv file with nine items per line separated by commas. Each line should contain the following information: the cancer type, total number of occurrences in men aged 0-24, total number of occurrences in women aged 0-24, total number of occurrences in men aged 25-49, total number of occurrences in women aged 25-49, and so on.
5. Print the results: Finally, print only the cancer types whose codes are found in ICD-O3. The order of the cancer types does not need to be specific.
By following these steps, you should be able to obtain the desired output containing the total number of occurrences of various breast cancers separately for men and women in four age groups.