Engineering biostatistics : an introduction using MATLAB and WinBUGS The sample and its properties Probability conditional probability and bayes rule Sensitivity specificity and relatives Random variables Normal distribution Point and interval estimators Bayesian approach to inference Testing statistical hypotheses Two samples ANOVA and elements of experimental design Models for tables Correlation Regression Regression for binary and count data Inference for censored data and survival analysis Goodness of fit tests Distribution free methods Bayesian inference using gibbs sampling : BUGS project