| id |
7cbebcbd-daa3-4012-9eb5-611accd555ee |
| user_id |
8684964a-bab1-4235-93a8-5fd5e24a1d0a |
| job_id |
qencwjxd-1266 |
| base_model_name |
xevyo |
| base_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| model_name |
The effects of increasing |
| model_desc |
The effects of increasing longevity |
| model_path |
/home/sid/tuning/finetune/backend/output/qencwjxd- /home/sid/tuning/finetune/backend/output/qencwjxd-1266/merged_fp16_hf... |
| source_model_name |
xevyo |
| source_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| source_job_id |
xevyo-base-v1 |
| dataset_desc |
The paper “The effects of increasing longevity and The paper “The effects of increasing longevity and changing incidence on lifetime risk differentials: A decomposition approach” develops a mathematical method to separate (decompose) how much of a change in lifetime risk of a disease is caused by:
Changes in incidence rates (how often a disease occurs), and
Changes in survival/longevity (people living longer and therefore having more years at risk).
The article explains that lifetime risk calculated from cross-sectional data can be misleading because incidence may go down while longevity goes up, hiding true progress. To solve this, the authors create a decomposition formula that splits the difference between two lifetime risks into survival effects and incidence effects, making it clear which factor is driving changes over time.
The method is demonstrated using three diseases among Swedish men aged 60+:
Myocardial infarction
Hip fracture
Colorectal cancer
Findings show that longevity improvements can offset or even reverse the effects of declining incidence—especially for diseases that occur at older ages. For diseases that tend to occur earlier (like colorectal cancer), rising longevity matters less.
This decomposition approach helps researchers, policymakers, and health planners better understand real disease trends and the impact of an aging population.... |
| dataset_meta |
{"input_type": "file", "source {"input_type": "file", "source": "/home/sid/tuning/finetune/backend/output/qencwjxd-1266/data/document.pdf", "num_examples": 74, "bad_lines": 0}... |
| dataset_path |
/home/sid/tuning/finetune/backend/output/qencwjxd- /home/sid/tuning/finetune/backend/output/qencwjxd-1266/data/qencwjxd-1266.json... |
| training_output |
null |
| status |
completed |
| created_at |
1764866507 |
| updated_at |
1764866920 |
| source_adapter_path |
NULL |
| adapter_path |
/home/sid/tuning/finetune/backend/output/qencwjxd- /home/sid/tuning/finetune/backend/output/qencwjxd-1266/adapter... |
| plugged_in |
False |