• Strategy Management , BSC, KPI's and Execution• Probability, Sampling distributions and statistical inference, stratified, clustered or multistage sampling• Blind experiment, single-blind trials, double-blind trials and ABX test• Scientific method and the design of experiments• One sample t-test, independent samples t-test (incl. correction for unequal variances - welch test) and paired samples tests• Rank sum tests: signed rank sum test (one sample), mann-whitney test (independent samples), wilcoxon test (paired samples)• Variance ratio test F test• Levene's test for unequal variances, and student-Newman-keuls (snk) test for pairwise comparison of subgroups• Analysis of variance ANOVA and analysis of covariance (ANCOVA) with post-hoc multiple comparisons• Repeated measures analysis of variance• Kruskal-wallis test and post-hoc multiple comparisons• Friedman test and post-hoc multiple comparisons• Neural Networks (Multilayer perceptron ,Radial Basis function)• Time series analysis, anomaly time series ,decomposition of time series, seasonal adjustment, trend estimation, signal processing, unevenly-spaced time series• Meta-analysis: odds ratio (random effects or fixed effects model - mantel-heinszel method)• Inter-rater agreement: kappa and weighted kappa• Spatial analysis, geographic entities, properties• Quality control tools, control chart, Pareto chart• Reliability analysis Cronbach's Alpha, split-half, Guttman, Parallel, Strict parallel• Likelihood function, Log-likelihood, Relative likelihood, Conditional likelihood, Marginal likelihood, Profile likelihood Partial likelihood• Graphics: Arrhenius plot, Biplot, Bland-Altman, ode, Box, Dalitz, Funnel, Dot bioinformatics, Forest plot, Galbraith, Lineweaver–Burk, Nichols plot, Normal probability, Nyquist, Partial regression, Partial residual, Probability, Q-Q plot, Recurrence, Scatterplot, Shmoo, Spaghetti, Stemplot, Star plot, Ternary plot, Violin plot

• Collaborates with scientists, physicians, clinical investigators and other researchers• chi-square test, chi-square test for trend cochran-armitage test• Tests on 2x2 tables: Fisher's exact test, Mcnemar test• Cochran's q test and post-hoc multiple comparisons• Bayes' theorem, screening tests, sensitivity, specificity, and predictive value positive and negative• Receiver operating characteristic curve ROC curves analysis• Determination of sample size for estimating means, estimating proportions• Determining sample size to control type ii errors power of a test• Hypothesis testing single, two population mean, proportions & variance• Design of completely randomized, randomized complete block and repeated measures analysis of variance• Factorial experiment Principal Components, Unweighted test square, Generalized test square, Maximum likelihood, Alpha Factoring• Model of multiple linear regression, Deming regression, correlation, rank correlation spearman's rho and kendall's tau, and scatter diagram• Checking and selecting the model residual analysis, prediction, coefficient of determination• Logistic regression, stepwise, Hosmer & Lemeshow test• Rank regression, Loglinear Analysis Poisson, Multinomial• Nonparametric regression analysis• Tests of goodness-of-fit, independence, homogeneity• Odds ratio, relative risk, number needed to treat (nnt) and the mantel–haenzel statistic• Robustness influence function, breakdown point, geometrical interpretation & rejection point• Generalized linear model GLM, Univariate, Multivariate, Repeated Measures, Variance Components M-estimators, Fisher consistency correction, Estimation of the full model, variable selection• Mixed linear models MLM• Marginal Longitudinal Data Model MLDA and alternatives• General Estimating Equations Gee-type estimator• Survival analysis, kaplan-Meier survival curves, Cox proportional-hazards regression, logrank test for comparison of survival curves, logrank test for trend