Learn how to design clinical trials with 3x3 or Cross-Over treatments through this Postgraduate certificate in Biostatistical Analysis for Genomic Nutrition"

Research in Genomic Nutrition has experienced a remarkable growth in recent years, since its findings have made it possible to treat diseases from a nutritional point of view in order to favor the patient's recovery. For this very reason, the methods for the creation of clinical trials or for their subsequent evaluation have undergone a notorious development, perfecting their techniques to enable the results obtained after the completion of the studies to be completely reliable. Due to the advantages that these state-of-the-art procedures bring to the performance of accurate investigations, medical professionals involved in this field are obliged to use them to perform their activity at the highest level.  

This is why TECH has promoted this Postgraduate certificate, through which the physician will assimilate the updated mechanisms for the design of clinical trials focused on Genomic Nutrition or for the evaluation of the results obtained in them, thus acquiring excellent research skills. During 150 hours of intensive teaching, you will learn how to elaborate studies with 3x3 treatments or internalize the most appropriate techniques for sample size determination. He will also delve into strategies for subgroup analysis in different types of clinical trials or the use of the most efficient statistical programs. 

All this, through a 100% online methodology, which will enable the student to obtain effective learning through the development of their own study schedules. Likewise, this program is designed and taught by the best professionals working in the field of Genomic Nutrition, so all the knowledge you will adopt will be fully updated.  

Adopt, with this program, the strategies to analyze the results obtained from subgroups in different types of clinical trials related to Genomic Nutrition” 

This Postgraduate certificate in Biostatistical Analysis for Nutrition Genomics for Doctors contains the most complete and up-to-date scientific program on the market. The most important features include:

• The development of case studies presented by experts in Nutritional Genomics and Precision Nutrition
• 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 
• Content that is accessible from any fixed or portable device with an Internet connection

Thanks to this Postgraduate certificate, you will master the use of the most advanced statistical programs in the field of medicine"

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

The 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 immersive education programmed to learn in real situations.  

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts. 

Enjoy a curriculum designed by the best experts in Genomic Nutrition and accessible 24 hours a day"

Through the Relearning system of this program, you will enjoy a customized learning experience with no teaching limitations"

The curriculum of this Postgraduate certificate consists of 1 module through which the student will significantly increase their knowledge and skills in the area of biostatistics oriented to the conduct of studies on Genomic Nutrition. Likewise, the didactic contents available throughout this academic experience are present in a large number of different textual and multimedia formats. Therefore, you will get a completely resolute learning, accessible 24 hours a day, given its 100% online character.  

This curriculum has been designed by top experts in Genomic Nutrition to provide you with the most up-to-date knowledge in biostatistics focused on this discipline" 

Module 1. Biostatistics for Genomic Nutrition 

1.1. Biostatistics 

1.1.1. Human Studies Methodology 
1.1.2. Introduction to Experimental Design 
1.1.3. Estudios clínicos 

1.2. Statistical Aspects of a Protocol 

1.2.1. Introduction, Objectives, Description of Variables 
1.2.2. Quantitative Variables 
1.2.3. Qualitative Variables 

1.3. Design of Clinical Studies in Humans, Methodological Guidelines 

1.3.1. Designs with 2 treatments 2x2 
1.3.2. Designs with 3 treatments 3x3 
1.3.3. Parallel, Cross-Over, Adaptive Design 
1.3.4. Sample Size Determination and Power Analysis 

1.4. Evaluation of Treatment Effect 

1.4.1. For Parallel Design, for Repeated Measurements, for Cross-Over Design 
1.4.2. Randomization of the Order of Treatment Assignment 
1.4.3. Carry-Over Effect (Wash Out)  

1.5. Descriptive Statistics, Hypothesis Testing, Risk Calculation 

1.5.1. Consort, Populations 
1.5.2. Study Populations 
1.5.3. Grupo control 
1.5.4. Subgroup Analysis Types of Studies 

1.6. Statistical Errors 

1.6.1. Measurement Errors 
1.6.2. Random Error 
1.6.3. Systematic Error 

1.7. Statistical Bias 

1.7.1. Selection Bias 
1.7.2. Observation Bias 
1.7.3. Sesgo de asignación 

1.8. Statistical Modeling 

1.8.1. Continuous Variable Models 
1.8.2. Categorical Variables Models 
1.8.3. Linear Mixed Models 
1.8.4. Missing data, Flow of Participants, Presentation of Results  
1.8.5. Adjustment for baseline values, transformation of the response variable: differences, ratios, logarithms, Carry-Over evaluation  

1.9. Statistical Modeling with Covariate 

1.9.1. ANCOVA 
1.9.2. Logistic Regression for Binary and Count Variables 
1.9.3. Multivariate Analysis 

1.10. Statistical Programs 

1.10.1. The R 
1.10.2. SPSS  

Access the most updated contents of the educational market in Biostatistical Analysis for Genomic Nutrition thanks to this program"