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Medical Statistics and Computer Experiments
We do not plan to review this book.
- Basic Concepts:
- Descriptive Statistics
- Probability and Distribution
- Sampling Error and Confidence Interval
- Hypothesis Testing for Continuous Variables
- Chi-Square Test for Categorical Variable
- Further Discussion on Hypothesis Test
- Single-Factor Analysis of Variance
- Nonparametric Test Based on Ranks
- Simple Linear Correlation
- Simple Linear Regression
- Statistical Principles for Design of Interventional Study
- Multi-variate Statistics:
- Multiple Regression and Correlation
- Measures of Multi-variate Data and Multi-variate Analysis of Variance
- Discriminant Analysis
- Logistic Regression
- Cluster Analysis
- Principal Component Analysis
- Factor Analysis
- Canonical Correlation and Correspondence Analysis
- Survival Analysis
- Log-Linear Model for Contingency Table and Poisson Regression
- Design and Analysis for Medical Research:
- Multi-Factor Analysis of Variance
- Analysis of Repeated Continuous-Type Measurements
- Design and Analysis of Cross-Sectional Studies
- Design and Analysis of Prospective Studies
- Designs and Analysis of Case-Control Studies
- Design and Analysis of Diagnostic and Screening Tests
- Design and Analysis of Sequential Experiments
- Systematic Review of Medical Research and Meta-Analysis
- Comparative Effectiveness Research
- Statistical Methods in Scale Development
- Statistical Methods for Data from Genetic Epidemiological Study
- Statistical Methods in Bioinformatics
Dummy View - NOT TO BE DELETED