Contents: The course explains concepts, study designs and statistical models needed to estimate the incidence and prevalence of a given disease or, more generally, some health-related event and its association with possible exposure variables. The course will cover prospective (cohort) and retrospective (case-control) study designs. The first part of the course (3 cr) is taught as an intensive course and introduces the concepts and statistical models at a fairly general level. The second part (4 cr) focuses in more detail on use and interpretation of the main regression models in epidemiology. The course will be lectured in English.

To whom is the course targeted?

• The first of the part suits to all those who need to analyse or interpret epidemiological data and research findings in medicine, epidemiology, public health or related fields. Some former knowledge of statistical methods is beneficial but not absolutely necessary.

• The second part introduces the main types of regression models used to analyse epidemiological data. For students majoring in statistics, the course is recommended during the 3^rd year studies. These students are expected to successfully complete both parts of the course to gain a total of 7 cr. For students not majoring in statistics, the second part of the course is optional.

Aims

• Part I: to familiarise with the basic epidemiological concepts (risk, odds, hazard, relative risk, person-time, confounding etc.) & to learn to explore and summarise epidemiological data.

• Part II: to learn to analyse population-based epidemiological data using Poisson and logistic regression & to interpret epidemiological research papers.

Literature: Clayton D and Hills M, Statistical Models in Epidemiology, Oxford University Press (2013)

Lecturer: Professor Kari Auranen, Center of Statistics, University of Turku

Schedule (the lecture rooms to be announced at https://nettiopsu.utu.fi/opas/teaching/course.htm?id=8064 )

• Part I (Jan 20 – Jan 29)

  • Lectures Tuesdays 10 a.m. – 2 p.m. and Thursdays 10 a.m. – 2.p.m.

  • Exercises Thu (Jan 22), Tue (Jan 27) and Thu (Jan 29), always 8:30 a.m. – 10 a.m.

• Part II (Feb 3 – Feb 24)

  • Lectures Tuesdays 12 p.m. – 2 p.m. and Thursdays 12 p.m. – 2 p.m.

  • Exercises Thursdays 10 a.m. – 12 p.m.

Exams: There will be either two course exams (for those the complete both parts of the course) or a final exam (for those that complete only Part I). Students majoring in statistics are required to complete both parts of the course.

• Final exam for Part I (for those completing only Part I) & 1^st course exam (others): Monday, February 2, 9 a.m. -12 p.m.

• 2^nd course exam: Monday, March 2, 9 a.m. – 12 p.m.

Registration: NettiOpsu (students and Ph.D. students) or eila.seppanen[at]utu.fi (others)

Contents: The course explains concepts, study designs and statistical models needed to estimate the incidence and prevalence of a given disease or, more generally, some health-related event and its association with possible exposure variables. The course will cover prospective (cohort) and retrospective (case-control) study designs. The first part of the course (3 cr) is taught as an intensive course and introduces the concepts and statistical models at a fairly general level. The second part (4 cr) focuses in more detail on use and interpretation of the main regression models in epidemiology. The course will be lectured in English.

To whom is the course targeted?

• The first of the part suits to all those who need to analyse or interpret epidemiological data and research findings in medicine, epidemiology, public health or related fields. Some former knowledge of statistical methods is beneficial but not absolutely necessary.

• The second part introduces the main types of regression models used to analyse epidemiological data. For students majoring in statistics, the course is recommended during the 3^rd year studies. These students are expected to successfully complete both parts of the course to gain a total of 7 cr. For students not majoring in statistics, the second part of the course is optional.

Aims

• Part I: to familiarise with the basic epidemiological concepts (risk, odds, hazard, relative risk, person-time, confounding etc.) & to learn to explore and summarise epidemiological data.

• Part II: to learn to analyse population-based epidemiological data using Poisson and logistic regression & to interpret epidemiological research papers.

Literature: Clayton D and Hills M, Statistical Models in Epidemiology, Oxford University Press (2013)

Lecturer: Professor Kari Auranen, Center of Statistics, University of Turku

Schedule (the lecture rooms to be announced at https://nettiopsu.utu.fi/opas/teaching/course.htm?id=8064 )

• Part I (Jan 20 – Jan 29)

  • Lectures Tuesdays 10 a.m. – 2 p.m. and Thursdays 10 a.m. – 2.p.m.

  • Exercises Thu (Jan 22), Tue (Jan 27) and Thu (Jan 29), always 8:30 a.m. – 10 a.m.

• Part II (Feb 3 – Feb 24)

  • Lectures Tuesdays 12 p.m. – 2 p.m. and Thursdays 12 p.m. – 2 p.m.

  • Exercises Thursdays 10 a.m. – 12 p.m.

Exams: There will be either two course exams (for those the complete both parts of the course) or a final exam (for those that complete only Part I). Students majoring in statistics are required to complete both parts of the course.

• Final exam for Part I (for those completing only Part I) & 1^st course exam (others): Monday, February 2, 9 a.m. -12 p.m.

• 2^nd course exam: Monday, March 2, 9 a.m. – 12 p.m.

Registration: NettiOpsu (students and Ph.D. students) or eila.seppanen[at]utu.fi (others)