About the book
A. Describing clinical data: Types of data, data
management, data entry on MS Excel,
data entry on SPSS, How to make table, how to
draw graph, percentage, mean and standard deviation,
median and quartiles, mode.
B. Describing performance of a
diagnostic test: Sensitivity and specificity, Kappa inter-rater statistics,
receiver operator curve (ROC).
C. Hypothesis Testing: Concept of
null Hypothesis, concept of probability, normal distribution, statistical test
to be applied, chisquare test, student t test, Z test ANOVA, Correlation and
Regression, Multiple regression and logistic regression analysis.
D. Risk Measures: Odds Ratio,
Attack rates and risk ratio, Relative risk and attributable risk.