iSQoL

The iSQoL2 is a free R package under Microsoft Windows for estimating:

• Lifetime survival function
• Life expectancy and Expected years of life lost
• Quality-adjusted life expectancy
• Expected lifetime cost
• Incremental Cost-Effectiveness Ratio

1. Download document for iSQoL2 package (926 downloads ) (09/13/2024)
2. Download R package: iSQoL2 (4499 downloads ) (2/14/2025, version 7.0.1 and available for R ≧4.4.1)
3. How to create a cost data file? (960 downloads )  (Note for users in Taiwan, 09/13/2024)
4. How to use iSQoL2 at Health and Welfare Data Science Center (910 downloads ) (Note for users in Taiwan, 09/13/2024)

Citation for the methodology of the package:

Hwang JS, Hu TH, Lee LJH and Wang JD. (2017). Estimating lifetime medical costs from censored claims data. Health Economics, DOI: 10.1002/hec.3512.

References

1. Chung CH, Hu TH, Wang JD and Hwang JS (2019). Estimation of quality-adjusted life expectancy of oral cancer patients: integration of lifetime survival adjusted with repeated quality of life measurements. Value in Health Regional Issues, Vol. 21, 59-65
2. Hwang JS, Hu TH, Lee LJH and Wang JD. (2017). Estimating lifetime medical costs from censored claims data. Health Economics, DOI: 10.1002/hec.3512.
3. Hwang JS and Wang JD (2004). Integrating health profile with survival for quality of life assessment. (with commentary) Quality of Life Research, 1-14.
4. Hwang JS and Wang JD (1999). Monte Carlo estimation of expected quality-adjusted survival for follow-up studies. Statistics in Medicine, 18, 1627-1640.
5. Hwang JS, Tsauo JY and Wang JD (1996). Estimation of expected quality adjusted survival by cross-sectional survey. Statistics in Medicine, Vol. 15, 93-102.
6. Lo WC, Hu TH, Shih CY, Lin HH, Hwang JS. Impact of healthy lifestyle factors on life expectancy and lifetime healthcare expenditure: A nationwide cohort study. JMIR Public Health and Surveillance 2024, 10: e57045. https://doi.org/10.2196/57045.

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