Data Coaching: Data Analysis applied to Clinical Research

1st edition: 2019

SUMMARY

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 students with or without experience in clinical research.

REQUIREMENTS

Participants must have IBM SPSS Statistics software installed on their laptop; basic knowledge of statistics and computer science; and ideally own data to use.

COURSE PROGRAM

DAY 1 – Interactive Sessions & Workshop (9am-4pm)

  • 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 -4pm)

  • Inferential Statistical Analysis:
    • Contingency tables and association relationship (adjusted residue, Chi-Square test, Fisher’s test, Odds Ratio)
    • Correlation (parametric and non-parametric)
    • 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 -4pm)

  • Dependency models:
    • Linear Regression
    • Logistic Regression
    • Survival Analysis (Kaplan-Meier method, Cox Regression)
    • Roc Curve

DAY 4 – Interactive Sessions & Workshop (9am -4pm)

  • Reviews and other relevant aspects for the participants
  • Exam
  • Work presentations

Full Program HERE

COURSE METHODS

During approximately 24 hours (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. At the end of the course, the participants will have a final exam (composed with multiple choice questions) and 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.
The course will be held in Portuguese with support material written in Portuguese and will focus on own data of clinical research with examples and exercises to consolidate the knowledge acquired during the course.

ABOUT THE TRAINER

Zélia Barroso, PhD

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Head of Research & Insights at PSE – Statistical Products and Services, where she coordinates data analysis projects in the most diverse sectors of activity, namely in the health sector (hospital and pharmaceutical context). Zélia is Postgraduate in Applied Statistics (ISPA) and holds a degree in Epidemiology and Biostatistics Applied to Health Research (INSA). She is Professor of Data Analysis at the Faculty of Economics of the University of Coimbra, trainer and consultant in the area of Data Analysis with SPSS Applied to Medical Research, collaborating in with organizations such as Unidade Local de Saúde de Castelo Branco, EPE, AIDFM-CETERA and Portuguese Society of Oncology. Additionally, Zélia is involved in the co-supervision of MSc and PhD dissertations.

COURSE ORGANIZATION & CERTIFICATE OF ATTENDANCE

For the course a maximum of 10-12 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 80% 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.

GENERAL INFORMATION

  • i. Online Registration
  • ii. Fees
    Registration until September 01, 2019: 350€
    Registration after September 01, 2019: 400€
    The payment is through Bank Transfer with the following details:

    Account name: AIDFM
    IBAN: PT50001800003666547200180
    BIC/SWIFT: TOTAPTPL
  • iii. Venue
    AIDFM-CETERA
    Av. Prof. Egas Moniz,
    1649-028 Lisboa
  • iv. Contacts
    AIDFM-CETERA
    Av. Prof. Egas Moniz,
    1649-028 Lisboa
    21 793 09 20
    training.cetera@medicina.ulisboa.pt