ØAMET4000 Statistiske metoder Emneplan

Emnet gir inngående kjennskap til sentrale kvantitative analysemetoder innen økonomi og samfunnsvitenskap. Gjennom en serie med øvinger oppøver studentene ferdigheter i praktisk analyse av kvantitative data. Emnet bygger på kurs i samfunnsvitenskapelig metode på bachelornivå, samt grunnkurs i statistisk metode. Kjennskap til grunnleggende statistiske analyser med regneark (som Excel) eller statistikkprogrammer (som SPSS) er en fordel. Emnet er et obligatorisk fellesemne som det anbefales å ta i første semester av studiet.

Language of instruction: Norwegian

In this course, the student will continue to develop skills from the practical training period in the first year of the programme. The course includes practical training in CT, MRI, radiation therapy and conventional radiography. Students may also undergo practical training in one or more of the following: interventional radiography, paediatric radiography, nuclear medicine and mammography.

Most of the institutions that make up the external practical training arenas for this programme are located in Oslo and Eastern Norway. The students must therefore expect to commute during one or more of their periods of practical training. Students are assigned to diagnostic imaging and radiotherapy units. It is emphasised that the students should become familiar with the profession early on and that they will have practical training in all three years of the programme.

Students must comply with the clothing regulations in force at the practical training establishment. Special requirements for tests or vaccination may apply at individual establishments.

Passed first year of the programme or equivalent.

Passed the course RAB2010 Pathology, Diagnostics and Treatment.

Forskningsprosessen:

• ­ Bruk av modeller.
• ­ Validitetsformer, kausalitet.
• ­ Rapportering og presentasjon.

Om kvantitative data:

• ­ Ulike datakilder: eksperiment, survey, naturlige data og registerdata.
• ­ Multi-item mål (sammensatte mål): indekser og skalaer.

Analyse:

• ­ Multippel lineær regresjonsanalyse.
• ­ Logistisk regresjon.
• ­ Faktoranalyse.
• ­ Reliabilitetsanalyse.
• Bruk av statistikkprogrammer.

Lineær regresjonsanalyse:

• Utledning av estimatorer.
• Tolkning av estimater, statistisk usikkerhet.
• Forutsetninger.
  • Forventningsrette og effektive estimatorer.
  • Gauss-Markov-forusetningene.
  • Testing av forutsetninger.
  • Strategier for håndtering av brudd på forutsetninger.
• Modellbyggingsverktøy.
  • Transformasjoner av variabler, ikke-linearitet.
  • Dummyvariabler.
  • Interaksjonsanalyser.

After completing the course, the student should have the following learning outcomes defined in terms of skills and general competence:

Skills

The student can

• recognise and describe anatomical structures and obvious pathology in images from CT and MRI examinations
• participate in the planning and execution of CT and MRI examinations
• participate in the planning and execution of examinations and treatments using other relevant modalities
• apply image criteria and assess image quality in CT and MRI examinations
• assess image quality requirements related to the indications for X-ray and CT examinations
• apply safety procedures in MRI examinations
• attend to radiation protection in relation to patients, next of kin and staff
• obtain and communicate information about use and side effects in connection with administration of medications and identify risk factors in patients
• describe procedures for documentation in connection with examinations at the practical training establishment
• use medical image and information systems
• carry out procedures for inserting a peripheral venous catheter (PVC)
• apply the code of ethics for radiographers

General competence

The student can

• attend to communication and provide adapted information before, during and after examinations and treatments
• assess a patient's clinical condition and carry out necessary care measures
• address and meet the expectations and obligations inherent in their brief encounter with the patient

The work and teaching methods include self-study, interprofessional cooperative learning and external practical training. Students will complete ten weeks of supervised practical training in diagnostic imaging departments and two weeks of practical training in radiotherapy departments.

One week of practical training corresponds to 40 hours of study effort. There are 7 self study days that must distributed over this period. The study days are chosen in collaboration with the supervisor.

The following must have been approved in order for the student to receive an assessment:

• a minimum of 90 % attendance in practical training
• individual reflection note in accordance with set criteria, to be submitted before the final assessment

Assessment of practical training. The assessment is based on the learning outcomes for the course and the continuous assessment that students are subject to throughout the practical training period.

Students can only be assessed if they meet the minimum attendance requirement of 90% for the practical training. For more information, see the general part of the programme description about practical training assessment.

Resit assessment: Students who fail a period of practical training normally have to retake the whole practical training period.

Not relevant

Pass/fail