VET414 Applied statistics for experimental and laboratory oriented studies in veterinary science
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Showing course contents for the educational year 2021 - 2022 .
Course responsible: Janicke Nordgreen
Teachers: Andrew Michael Janczak, Preben Boysen, 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:
Week 38-46. One meeting each week and an oral exam week 46.
Course frequency: Yearly.
First time: Study year 2016-2017
Last time: 2022H
Course contents:
The main goal of the course is to familiarize the students with central themes in applied statistics for experimental and laboratory-oriented studies in veterinary science. We introduce the students to sample of the following topics. The students will contribute to defining the exact content of the course.
Topics may include:
- 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.
- Descriptive data analysis using pivot functions in Excel.
- Use of the statistical software package JMP for data analysis.
Learning outcome:
Through the course the students are expected to achieve the following:
General competence
- The students will develop their ability to plan their own studies and analyze their own data.
Knowledge:
- Know the main principles of applied statistics.
- Know the standards for planning, analyses and presentation of data for scientific publishing in their research area.
Skills
- 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.
Attitudes:
- 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 1 edition (2002). Oxford University Press, UK. 368 pages.
- Petrie and Watson: Statistics in veterinary and animal science, 3rs edition (2013). John Wiley & Sons, UK. 408 pages.
Supplementary reading:
- Alex Reinhardt: Statistics Gone Wrong: The Woefully Complete Guide, 1st Edition (2015). No Starch Press, San Fransisco, USA. 176 pages.
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 track students. Only minimal prior statistical knowledge is expected.
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.
Nominal workload:
150 hours.
Note:
Aids:
A2: no calculator, other specified aids.
Mandatory enrolment via Student web (1st of September)
Examiner:
Examination details: Anvendt statistikk for eksperimentelle- og laboratoriestudier i veterinærvitenskap: Passed / Not Passed