Upgrade your knowledge of regression methods for research with R in only 150 hours of academic instruction"

Statistics allows the specialist to glimpse the obstacles that may be encountered in the development of the research, that is, it is capable of predicting by means of formulas the periods of study. However, it can also classify information, distribute it efficiently to create contextualized data, and analyze response behaviors associated with simulated cases with patients testing new treatments. It is a tool that facilitates the development of research by establishing the type of sampling, sample size and type of data collection, among other advantages.

TECH has designed this Postgraduate certificate in Biostatistics with R for Pharmacy graduates and other professionals in the Health Sciences who wish to deepen their knowledge in the study of statistical data. All this, by means of an exhaustive approach to the statistical techniques of Data Mining with R, multivariate analysis with R and all the applications associated with this system. To achieve this, the program has a team of experienced teachers in the area who have the necessary knowledge to transmit all the contents of the subject. The main purpose of this study is to update the knowledge of physiotherapists by means of strategic tools.

It is a 100% online university degree, which allows access to all interested students wherever and whenever they wish. In this way, the program is adapted to the personal and professional needs of graduates in Physiotherapy and other health disciplines. In addition, the degree has theoretical-practical and additional materials, which the students will enjoy from the first module and which will make the study a flexible and dynamic process. In addition, TECH applies an innovative pedagogical system, based on the Relearning methodology, which will exempt specialists from long hours of memorization and will allow them to adapt the pace of study according to their possibilities, without depending on a pre-set schedule.

Dive into Data Mining with R and discover how data mining can foster knowledge generation around your research findings”

This Postgraduate certificate in Biostatistics with R contains the most complete and up-to-date scientific program on the market. The most important features include:

• Development of case studies presented by experts in Medical Research
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• The availability of access to content from any fixed or portable device with an Internet connection

Attend to the advances in Biostatistics so that you can apply them in your research projects and promote their performance"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

Its multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education programmed to learn in real situations.

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve the different professional practice situations that are presented throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.

With TECH you will not have to do without other areas of your life and you will be able to combine your studies with your current job, among other activities"

Delve into the R program and regression methods and be part of the group of experts at the forefront of physiotherapeutic research"

The structure and content of this Postgraduate certificate in Biostatistics with R have been developed by the teaching team, following the rigorous guidelines pursued by TECH teaching. In addition, the contents have integrated the most comprehensive developments in the field of physiotherapy and the application of statistics in this area. In addition, the Relearning methodology has been used in its development, which exempts professionals from long hours of memorization so that they can assimilate the contents in a simple and gradual manner. A modern experience for those who wish to perfect their skills through a 100% online qualification.

Be involved in the development of new scientific methods around the application of R and understand how it can exponentially improve the Physiotherapy Research process"

Module 1. Statistics and R in Health Research

1.1. Biostatistics

1.1.1. Introduction to The Scientific Method
1.1.2. Population and Sample. Sampling Measures of Centralization
1.1.3. Discrete Distributions and Continuous Distributions
1.1.4. General Outline of Statistical Inference. Inference about a Normal Population Mean. Inference about a General Population Mean
1.1.5. Introduction to Nonparametric Inference

1.2. Introduction to R

1.2.1. Basic Features of the Program
1.2.2. Main Object Types
1.2.3. Simple Examples of Simulation and Statistical Inference
1.2.4. Graphs
1.2.5. Introduction to R Programming

1.3. Regression Methods with R

1.3.1. Regression Models
1.3.2. Variable Selection
1.3.3. Model Diagnosis
1.3.4. Treatment of Outliers
1.3.5. Regression Analysis

1.4. Multivariate Analysis with R

1.4.1. Description of Multivariate Data
1.4.2. Multivariate Distributions
1.4.3. Dimension Reduction
1.4.4. Unsupervised Classification: Cluster Analysis
1.4.5. Supervised Classification: Discriminant Analysis

1.5. Regression Methods for Research with R

1.5.1. Generalized Linear Models (GLM): Poisson Regression and Negative Binomial Regression
1.5.2. Generalized Linear Models (GLM): Logistic and Binomial Regressions
1.5.3. Poisson and Negative Binomial Regression Inflated by Zeros
1.5.4. Local Fits and Generalized Additive Models (GAMs)
1.5.5. Generalized Mixed Models (GLMM) and Generalized Additive Mixed Models (GAMM)

1.6. Statistics Applied to Biomedical Research with R I

1.6.1. Basic Notions of R. Variables and Objects in R. Data handling. Files Graphs
1.6.2. Descriptive Statistics and Probability Functions
1.6.3. Programming and Functions in R
1.6.4. Contingency Table Analysis
1.6.5. Basic Inference with Continuous Variables

1.7. Statistics Applied to Biomedical Research with R II

1.7.1. Analysis of Variance
1.7.2. Correlation Analysis
1.7.3. Simple Linear Regression
1.7.4. Multiple Linear Regression
1.7.5. Logistic Regression

1.8. Statistics Applied to Biomedical Research with R III

1.8.1. Confounding Variables and Interactions
1.8.2. Construction of a Logistic Regression Model
1.8.3. Survival Analysis
1.8.4. Cox Regression
1.8.5. Predictive Models. ROC Curve Analysis

1.9. Statistical Data Mining Techniques with R I

1.9.1. Introduction. Data Mining. Supervised and Unsupervised Learning. Predictive Models Classification and Regression
1.9.2. Descriptive Analysis Data Pre-Processing
1.9.3. Principal Component Analysis (PCA)
1.9.4. Cluster Analysis. Hierarchical Methods. K-Means

1.10. Statistical Data Mining Techniques with R II

1.10.1. Model Evaluation Measures. Predictive Ability Measures. ROC Curves
1.10.2. Models Assessment Techniques. Cross-Validation. Bootstrap Samples
1.10.3. Tree-Based Methods (CART)
1.10.4. Support Vector Machines (SVM)
1.10.5. Random Forest (RF) and Neural Networks (NN)

This Postgraduate certificate has been designed to meet your needs, are you going to miss this opportunity? Enroll now and get up to date"