Version 0.2
New features:
Risk difference between the exposed group and the unexposed. Confidence interval is constructed using the Newcombe's method.
2010年9月30日 星期四
aStat 0.1
aStat is an easy-to-use, user-friendly statistical calculator for scientists.
It is not intended to substitute with those professional statistical packages like SPSS. Instead, the aim is to provide a handy calculator for scientists and researchers when appropriate. Unlike other statistical programs in the android market, aStat does not provide statistical distributions or complex functions like multivariate analysis. In particular, it offers robust yet easy-to-understand confidence interval estimates in 2x2 contingency table analysis, which is an important pre-analysis before ones step into further multivariate regression.
Current features of 2x2 contingency analysis include:
Features to be implemented:
It is not intended to substitute with those professional statistical packages like SPSS. Instead, the aim is to provide a handy calculator for scientists and researchers when appropriate. Unlike other statistical programs in the android market, aStat does not provide statistical distributions or complex functions like multivariate analysis. In particular, it offers robust yet easy-to-understand confidence interval estimates in 2x2 contingency table analysis, which is an important pre-analysis before ones step into further multivariate regression.
Current features of 2x2 contingency analysis include:
- Inference of significance: Chi-square test, Yate's Chi-square test, and Fisher's exact test (by summation of all small p values)
- Inference of association: odds ratio and risk ratio with confidence intervals, using Wald-based approximation and the Cox-Hinkley-Miettinen-Nurminen method.
- Calculation of diagnostic power: positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity.
- Confidence interval (CI) for smalls counts: Agresti-Coull method and Wilson's method are used for 95% CI estimation. Both are more suitable for small counts (< 40-50) than usual Wald-based approximation
- Settings for non-zero decimals and confidence level: decimals: 2-6; confidence level: 90%, 95%, 99%.
Features to be implemented:
- Person-time inference using exact test
- Confidence intervals for counts or proportions
- Chi-square test for trend in binomial proportions
訂閱:
意見 (Atom)


