Longitudinal Surveys of the Elderly: SBIR Initiative (R43/R44)
Sector: Education • Location: United States of America
Source: Grants.gov
The National Institute on Aging (NIA) has supported longitudinal survey data collection efforts and behavioral interventions in areas such as cognition, genetics, long term care, retirement and economic status, caregiving, behavioral medicine, and the dynamics of health and functional change at older ages. See
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The National Institute on Aging (NIA) has supported longitudinal survey data collection efforts and behavioral interventions in areas such as cognition, genetics, long term care, retirement and economic status, caregiving, behavioral medicine, and the dynamics of health and functional change at older ages. See http://www.nia.nih.gov/NR/rdonlyres/70D7B30D-8C47-402D-9CB2-F5B6932DA52C/0/datasets.pdf for descriptions of publicly available databases for aging-related secondary analyses supported by the NIA. Complex and large-scale socio-behavioral surveys related to adult health and aging are being developed all over the world. The demand for new, innovative technologies such as computer assisted interviewing, incorporation of biological and physiological measures, and user-friendly longitudinal databases associated with this trend has been expanding for several years. Longitudinal surveys often become more difficult to use over time due to increased complexity in the composition of the sample and/or the addition of new survey components, coupled with inconsistent data files and inadequate documentation. User friendly data use files are of interest not only to academic researchers, but to insurers, health care providers, HMOs, pharmaceutical companies and policy analysts. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
