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About Study Course

Department: Statistics Unit
Credit points / ECTS:4 / 6
Course supervisor:Ziad Taib
Study type:Full time
Course level:Master's
Target audience:Life Science
Language:English, Latvian
Study course descriptionFull description, Full time
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

There are, broadly speaking, two types of studies in biomedical research – randomized experiments and observational studies. Such studies range from pilot animal studies to clinical trials and epidemiological studies. In this course, the term clinical trial is to be understood in a wide sense as a prospective randomised study involving human subjects. The main purpose of a clinical trial is to assess the efficacy and safety of a treatment such as a drug, a medical device or even surgery or certain paramedical treatments such as traditional medicine. The course tries to adopt a patient centric view of clinical trials and thus to cover the safety aspect rather that efficacy as well as various types of ethical issues arising when planning, conducting, reporting clinical trials. While doing so, the emphasis will be on statistical issues whereas guidelines for “ethical statistical practice” will be discussed. Such guidelines are relevant for all types of studies in biomedical research including animal studies but are especially important for studies involving human subjects.
The safety aspect of clinical trials aspect will also be presented on the level of an individual trial either in (i) special safety trials with safety endpoints or in efficacy trials where various types of adverse events are monitored or in (ii) analyses of safety data using meta-analysis methods and pharmacovigilance studies monitoring marketed drugs.
We will also discuss precision medicine, i.e. attempts to explore how treatments can be tailored to individual patients based on relevant biomarkers. This leads us to exploring how such biomarkers can be validated for use in clinical trials and how diagnostic tests can be performed based on these biomarkers.
Finally, decision making based on quantitative criteria e.g. Go/No-Go decisions after each trial is also presented.

Prerequisites

To follow this course, the student is required to be familiar with basic mathematical and statistical concepts. Such concepts correspond to the course Clinical Trials I. Moreover, computer skills are also required.

Learning outcomes

Knowledge

After the course students will:
• distinguish research Ethics and ethics of Clinical Trials concerning: Planning and Design – Conduct – Reporting.
• have gained in-depth knowledge about safety clinical trials.
• define and explain pharmaco-vigilance.
• define statistical issues in Precision medicine.
• list diagnostic tests.
• discuss about quantitative decision making in clinical trials.

Skills

The course provides the students with the necessary knowledge and skills to perform planning, monitoring and to carry out analysis of clinical trials while taking an ethical patient centric perspective. This includes patient safety, giving the right treatment to the right patients and making evidence-based decisions based on trial data.

Competence

After having completed this course the student will be competent to apply various ethical principles in biomedical research, to take an ethical holistic ethical attitude to clinical trials when evaluating various alternative designs based on certain specifications: endpoints, comparators, sample size, randomization etc., as well as to be critical of the implication for statistical practice in terms of planning, conducting and reporting of such studies.

Moreover, the student will be able to handle safety issues in clinical trials both on the level of individual trials and in meta analyses of groups of trials, analyse data from clinical trials using adequate methods as per applicable ethical guidelines, provide go no go decision criteria at the planning stage and make inform decisions based on trial data at the end of the trial.

Study course planning

Planning period:Year 2024, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Biostatistics, MFBS3Master’sRequiredZiad Taib
Planning period:Year 2025, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Biostatistics, MFBS2Master’sRequired