Courses fee 10,00 €. Course participants can join with their personal computers. Statistical Analysis by R Course: Doç. Dr. Semra TÜRKAN, Hacettepe University, Dept. of Statistics Date/Time: 04.10.2022 / 16:00-19:00 Contents: 1) Exploratory data analysis (Descriptive Statistics and data visualization ) 2) Parametric and nonparametric statistical methods 3) Data Analysis (Data preparation and modelling)
Courses fee 10,00 €. Course participants can join with their personal computers. Data Mining by Phyton Course: Dr. Öğr. Üyesi Ömer Utku ERZENGİN, Süleyman Demirel University, Dept. of Statistics Date/Time: 05.10.2022 / 16:30-19:30 Contents: 1) Python and PyCharm environment at a glance. 2) Fundamentals of Data Mining and Machine Learning 3) General approach to Supervised and Unsupervised Learning Methods 4) Introduction to Decision Trees 5) Terminologies related to decision trees 6) Different split criteria for decision trees like Gini, chi-square 7) Implementation of decision tree in Python 8) Random Forests 9) Linear Discriminant analysis 10) Manual step-by-step implementation of Linear Discriminant analysis 11) Implementing Linear Discriminant analysis in Python
Courses fee 10,00 €. Course participants can join with their personal computers. Smart Simulation with SAS and R Course: Prof. Dr. Mehmet KOÇAK, Istanbul Medipol University, Dept. of Biostatistics and Medical Informatics Date/Time: 04.10.2022 / 10:00-18:00 Contents: Module-1: Simulating data for univariate random variables following Gaussian Distribution, Student-t-Distribution, Gamma Distribution and its special cases, Beta Distribution, Binomial Distribution, Poisson Distribution, etc. Module-2: Simulation designs for one-sample hypothesis testing for continuous, binary, and survival endpoints. In this module, we will also illustrate iterative simulation designs such as Phase-I Dose Escalation Design, and Simon’s Two-stage designs. Module-3: Simulation designs for two- or more-sample hypothesis testing for continuous, binary, and survival endpoints. One of the main focus here will be Empirical Power calculations for Randomized Clinical Trials. Module-4: Simulation designs for Multivariate random variables and designs that require iterative processing. We will compare and contrast SAS and R in terms of efficiency in simulation design.