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Medical Statistics
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Medical Statistics
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Academic year 2022/2023
- Course ID
- SCB0224
- Teacher
- Paola Berchialla (Lecturer)
- Year
- 5th year
- Teaching period
- Second semester
- Type
- Basic
- Credits/Recognition
- 4 (32 hours of lectures, 16 of exercises)
- Course disciplinary sector (SSD)
- MED/01 - medical statistics
- Delivery
- Formal authority
- Language
- English
- Attendance
- Mandatory
- Type of examination
- Written
- Prerequisites
- None
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Sommario del corso
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Course objectives
The course will illustrate the statistical concepts for:-
understanding of the quantitative data analysis methods
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developing the skills of reading and correctly interpreting scientific literature
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being able to carry out a standard statistical analysis
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Results of learning outcomes
KNOWLEDGE AND UNDERSTANDING
By the end of the course the student will have knowledge and understanding of:
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biostatistical concepts for the interpretation, evaluation, and communicaiton of biomedical research.
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descriptive and inferential statistics
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inductive and deductive reasoning in clinical research
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statistical software Jamovi
APPLYING KNOWLEDGE AND UNDERSTANDING
By the end of the course the student will be able to:-
collect and describe data using a statistical software
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carry out the correct statistical analysis using a statistical software
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apply the concept of hypothesis testing
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make inferences about the population under study
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interpret statistical knowledge in practice
COMMUNICATION SKILLS
ability to communicate results of research using appropriate scientific language
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Course delivery
Lectures, tutorials available on the Moodle platform, and didactic activities.
Slides and videos will be available on the Moodle platform: asynchronous
lessons and synchronous exercises (recorded), examples of solved exercises and tests for self-assessment.ONLINE TEACHING: Should the emergency due to COVID-19 persist, the course will be delivered entirely online. It will be organized in theoretical lessons based on videos published on the Moodle platform and synchronous activities carried out using the WebEx platform.
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Learning assessment methods
Learning assessment will be based on a final examination and formative assessments (homeworks and tests).
The final exam will be a test of questions with different formats: multiple choice quizzes, short answers open-ended questions; interpretation of experimental data and resolution of exercises similar to those carried out in class (maximum score 28). Additional 4 points will be awarded based on regularly assigned homeworks
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Program
- Populations and samples
- Type of variables
- Distinguishing between outcome and exposure variables
- Data representation: central measures, dispersion measures, frequencies
- The Normal distribution
- The sampling distribution and the standard error
- Confidence intervals
- Significance test
- Comparison of two means: confidence intervals, significance test and p-value
- Using P-values and confidence intervals to interpret the results of statistical analyses
- Probability, risk and odds
- Proportions and the binomial distribution
- Comparing two proporsions
- Chi-square test
- Linear regression model and correlation
- Logistic regression model
- Survival analysis: displaying and comparing survival patterns
- Linking analysis to study design
- Measure of association and impact
Suggested readings and bibliography
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- Book
- Title:
- Essential Medical Statistics
- Year of publication:
- 2004
- Publisher:
- Blackwell Publishing
- Author:
- B.R. Kirkwood, J.A.C. Sterne
- ISBN
- Required:
- No
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