Summary
It combines with common analytical methods in the medical field and can perform quickly advanced analysis of clinical tests or other medical analysis methods, such as survival analysis, medicine efficacy analysis, etc. It integrates all its capabilities and methods to enable you to get research conclusions sooner when analyzing more data.
Features
Methods
Data check before analysis
Bartlett Test : a test of the hypothesis of homogeneity of variances, which ensures the correctness of ANOVA
Dixon's Test : with small samples, a test of outlier
Chow's Test : a test to check if there is a structural break in the linear regression model and judge whether there is any interaction change or any slope change, etc.
Dose Effect Analysis
Bartlett Test : to investigate the linear relationship between the dose increase and the test effect
Poly-K Test : to consider the observation time and to analyze the relationship between the dose increase and the test effect
Peto's Test : to test the proportion of events resulting from a particular factor and to consider the difference between different doses
Sequence Data Analysis
Page's Trend Test : for small samples, observe if there is any obvious trend of differences of the repeated measurements of their sequences.
Rank ANCOVA : Use sequence data, after controlling the covariance, see if the effect in different groups is equal, this is a covariance analysis with nonparametric method.
Diagnostic Prediction and Reliability Analysis
Diagnostic & Agreement- Statistics : to have tests in order to predict for disease and diagnosis, and assess the accuracy of the tests and select the best diagnosis through all kinds of indicators.
System Requirements
Suggestion for installing IBM SPSS Statistics Base:
- Windows XP，2000，WIN 7
- Intel Pentium-compatible CPU
- Memory: ≧512MB RAM
- Hard Disk Space: ≧1 GB
- SVGA Display
- Internet Explorer 6
Installation Steps
1. Essentials for Python 19
2. Essentials for R 19
3. SPSS Medical Analysis Module
