1st edition: 2020
Data analysis has become an essential skill for health professionals who need to carry out scientific work. We know that each case is a case, and that is why this personalized course aims to helping professionals identify, execute, analyze and interpret their own data, with SPSS Software (widely used in clinical research).
COURSE MAIN OBJECTIVES
The course main objectives are:
- Provide to the participants the knowledge needed to successfully achieve quality and high performance in all steps of own quantitative data analysis in clinical research.
- Provide main methodological and analytical procedures useful for writing of scientific papers that require a univariate, bivariate and / or multivariate analytical approach.
- To guide the decision and application of hypothesis tests (parametric and non-parametric), according to the typology of variables at stake and the objectives of the research itself.
- Train and / or strengthen analytical reasoning using models of (inter) dependency.
- Guiding in the reporting and interpretation of empirical results of participants’ own data.
WHO SHOULD ATTEND
The course is designed to professionals with interest in research (Researchers, Medical Doctors, Nurses, Study Coordinators, Pharmacists, Health Technicians, and other healthcare professionals who need to analyze data) or Master and PhD studentswith or without experience in clinical research.
Participants must have IBM SPSS Statistics software installed on their laptop; basic knowledge of statistics and computer science; and ideally own data to use.
DAY 1 – Interactive Sessions & Workshop (9am-5pm)
- Introduction to data analysis in health research:
- Notions of statistics and quantitative methodology in clinical research.
- Design and create databases and data entry in SPSS, or data migration from a different format.
- Definition of variables’ typology, measurement scales, organization, edition, classification, transformation and data management procedures.
- Statistical Analysis Described (univariate and bivariate):
- Single and multiple frequency tables.
- Graphic representations.
- Types of statistical distributions: measures of central tendency, dispersion and distribution
DAY 2 – Interactive Sessions & Workshop (9am-5pm)
- Inferential Statistical Analysis (I):
- Contingency tables and association relationship (adjusted residue, Chi-Square test, Fisher’s test, Odds Ratio)
- Correlation (parametric and non-parametric)
- Inferential Statistical Analysis (II):
- Parametric tests (t-Student and ANOVA tests)
- Non-parametric tests (Wilcoxon, Mann-Whitney, Kruskal Wallis and Friedman’s ANOVA tests)
DAY 3 – Interactive Sessions & Workshop (9am-5pm)
- Dependency models:
- Linear Regression
- Logistic Regression and ROC Curve
- Survival Analysis (Kaplan-Meier method, Cox Regression)
DAY 4 – Interactive Sessions & Workshop (9am-5pm)
- Reviews and other relevant aspects for the participants
- Work presentations
Full Program HERE
During approximately 24 hours via ZOOM (divided into four days), participants will acquire skills that will allow them to optimize their performance during the conduction of the clinical studies/trials. During the training period there will be individual coaching in order to accomplish the objectives of each session.
In each synchronous session, the participants will be guided by the trainer in the learning and application of the techniques to their data in an asynchronous way (through e-mail, or Zoom meetings requested) to clarify issues that may arise during the week as the work progresses.
At the end of the course, the participants will have a work presentation about application of the training content to their data. During the course the students will have the chance to prepare an abstract based on their own data, where the methods and results presentation can be reviewed by the course’s trainer. The teaching methods will include problem solving and active learning.
ABOUT THE TRAINER
Zélia is post-graduate in Applied Statistics (ISPA) and holds a degree in Epidemiology and Biostatistics Applied to Health Research (INSA). She is currently mentor of the Data Coaching brand, Invited Assistant Professor of Data Analysis at the Faculty of Economics of the University of Coimbra, and of the post-graduation in Clinical Psychology and Health at ISEIT/Piaget. She is also a trainer and consultant in the area of Data Analysis Applied to Clinical Research, collaborating with organizations such as ULSCB, AIDFM-CETERA, SPO – Sociedade Portuguesa de Oncologia, IPO de Coimbra, and SCROM – Secção Central Regional da Ordem dos Médicos (Regional Central Section of the Portuguese Medical Association). Additionally, Zélia provides analytical support in the context of co-supervision of Master’s and PhD dissertations. She was Head of Research & Insights at PSE – Produtos e Serviços de Estatística (from May/2016 to Jan/2020) and Business Unit Manager of Market Research at Moresults by Pentaudis (from Oct/2013 to Apr/2016), where she coordinated analysis projects in the most diverse sectors of activity, namely in health (hospital and pharmaceutical context).
COURSE ORGANIZATION & CERTIFICATE OF ATTENDANCE
For the course a maximum of 15 participants will be admitted in each session of the course. The participants will be admitted based on the registration order. The minimum number of participants for the course to happen will be 7 participants.
In order to receive a Certificate of Approval in this course, participants should be approved in the final exam (60%), work presentation (20%), exercises completed during the training sessions (20%) and attend at least 75% of the face-to-face sessions.
At the end of the course a satisfaction questionnaire will be applied to the participants.
WHY SHOULD I ATTEND THIS COURSE?
- Do you have data to analyze and do not know where to start?
- Do you want to know how to question the data to define a structured analysis plan?
- Do you have questions about the best statistical test or analysis technique to apply?
- Do you feel lost or insecure in the interpretation of statistical results, not knowing what and how to report?
So surely this Data Analysis coaching course applied to clinical research is for you! Do not hesitate, bring your data because we can help you to overcome these challenges.
This course will provide you with the necessary knowledge and tools to achieve success in Data Analysis objectives, high standards of quality and performance in clinical research.
- i. Online Registration
- ii. Fees
Registration until August 31, 2020: 225€
Registration after August 31, 2020: 275€
The payment is through Bank Transfer with the following details:
Account name: AIDFM
- iii. Venue
Online via ZOOM
- iv. Contacts
Av. Prof. Egas Moniz,
21 793 09 20