VET414 Applied statistics for experimental and laboratory studies in veterinary science
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Showing course contents for the educational year 2016 - 2017 .
Course responsible: Preben Boysen
Teachers: Andrew Michael Janczak, Janicke Nordgreen, Eystein Skjerve
ECTS credits: 5
Faculty: Faculty of Veterinary Medicine
Teaching language: EN, NO
(NO=norsk, EN=Engelsk)
(NO=norsk, EN=Engelsk)
Teaching exam periods:
The course is based on weekly meetings, Thursdays 13.00-15.45, Lunch room basement building 18 (Lindern), week 17-26. Specifics will be defined in collaboration with the students at the beginning of the course.
Course frequency: Yearly
First time: Study year 2016-2017
Course contents:
We introduce the students to sample of the following topics. The students will contribute to defining the exact content of the course.
Topics:
- Critical reading from an experimental design and statistical perspective.
- Aims of the study including hypothesis testing, descriptive and exploratory approaches.
- Links between aims and organization of the dataset and statistics.
- Designing experiments.
- Software based Design of Experiments (DOE).
- Power and sample size estimation.
- Databases, structure and establishment.
- Outcome variable(s) and links to analytical model.
- General Linear Models (GLM) and Analysis of Variance (ANOVA).
- Nesting and repeated measures designs.
- Regression Analysis.
- Non-parametric statistical tests.
- Presentation of data.
Software:
- Use of Excel for organizing data.
- Use of the statistical software package JMP for data analysis.
- Descriptive data analysis using pivot functions in Excel.
Learning outcome:
Through the course the students are expected to achieve the following:
The main goal of the course is to familiarize the students with central themes in applied statistics relevant for their own projects. The students will develop their ability to plan their own studies and analyze their own data.
- Know the main principles of applied statistics.
- Know the standards for planning, analyses and presentation of data for scientific publishing in their research area.
- Be able to design a study based upon statistical principles.
- Be able to organize data using Excel and analyse data using JMP.
- Be able to perform basic statistical analysis of dataset, according to needs in own dataset/study.
- Be able to communicate about statistics in order to continue to develop skills and understanding after the course has finished.
The students should develop attitudes in line with acceptable research ethics in connection with statistical analysis.
Learning activities:
The course is a mix of lectures, demonstrations, assignments and group discussions.
Syllabus:
Main books:
- Grafen & Hails: Modern Statistics for the Life Sciences
- Petrie and Watson: Statistics in veterinary and animal science.
Supplementary reading:
- Alex Reinhardt: Statistics Gone Wrong.
Further material will be handed out during the course.
Prerequisites:
The course aims at introducing statistics to PhD students with a veterinary or other biological background, and veterinary research students with minimal statistical knowledge.
Recommended prerequisites:
Mandatory activity:
Attendance and preparation for classes through reading and exercises is compulsory. An attendance record of at least 70% is required to pass this course. Exceptions will be considered for students following the course over more than one semester.
Assessment:
Weekly assignments followed by oral exam. (Expectedly June 29, 2017).
Nominal workload:
125 hours, 5 ECTS
Note:
Mandatory enrolment via FS (Student web) before 07.04.17. Must include information on ¿ressursnummer, koststed, arbeidsordre¿ for internal billing of the course fee.
Examiner:
Examination details: Anvendt statistikk for eksperimentelle- og laboratoriestudier i veterinærvitenskap: Bestått / Ikke bestått