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BIOSTATISTICS                                                                     07 | Gestão
                                                                                           07 | Management
         Requirements
         Statistical Knowledge







          The biostatistics consists of the application of statistics to biological and medical field. It is essential to the planning, collection, evaluation
          and interpretation of all data obtained in biological and medical research.






                                                            CONTENTS
             OBJECTIVES
                                                            Module 1 - Introduction and General Concepts
             Globally, this course allows you to acquire practical skills   - Statistical Framework on Health
             relating to the main presentation techniques, synthesis and   - Applications of Biostatistics
             data mining in the field of health, as well as knowledge   - Methodology of Research
             in descriptive statistics and basic concepts in inferential   - Computerization of Data Care
             statistics, often used in this area.
                                                            Module 2 - Exploratory Data Analysis and Descriptive Statistics
                                                             - Classification of Variables
             ADDRESSEES                                      - Measures of Central Tendency and Dispersion
                                                             - Frequency Tables
             The course is intended for health professionals wishing to   - Graphical Representation of Data
             develop the critical capacity in the statistical analysis of
             research data.                                 Module 3 - Probability Distributions

                                                            Module 4 - Statistical Inference
                                                             - Population and Sample
                                                             - Methods of Sampling
                                                             - Parameters of a Population
                                                             - Indicators and Sample Distribution
                                                             - Punctual Estimation and Take 1
                                                             - General Concepts about Hypothesis Testing and Confidence Intervals

                                                            Module 5 - Hypothesis Testing and Confidence Intervals
                                                             - Paired and Independent Samples
                                                             - What-if Analysis for Variances
             INFORMATION
                                                            Module 6 - Analysis of Variance to a Factor
             Hours: 40h
             Time: See Training Plan
             Material Delivered: Training Support Material  Module 7 - Nonparametric Tests
             Training: Attendance Required
             Regime: Working Hours / Post-Working Hours     Module 8 - Inferences about Proportions
                                                            Module 9 - Simple Linear Regression and Correlation


             METHODOLOGIES

             The program will adopt a working methodology
             based on the exploration of case studies.


















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