Basic statistics for doctoral students - GDZST01
Title: Basic statistics for doctoral students
Guaranteed by: Department of Biophysics and Physical Chemistry (16-16110)
Faculty: Faculty of Pharmacy in Hradec Králové
Actual: from 2019
Semester: both
Points: 0
E-Credits: 0
Examination process: oral
Hours per week, examination: 1/0, Ex [HT]
Capacity: winter:unknown / unknown (unknown)
summer:unknown / unknown (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: taught
Language: English
Teaching methods: full-time
Level:  
Note: course is intended for doctoral students only
course can be enrolled in outside the study plan
enabled for web enrollment
you can enroll for the course in winter and in summer semester
Guarantor: doc. Dipl.-Math. Erik Jurjen Duintjer Tebbens, Ph.D.
Examination dates   WS schedule   
Annotation -
The course Basic statistics for doctoral students addresses traditional and modern statistical methods popular in pharmaceutical research. It gives an overview of the most common statistical tests and methods, with an emphasis on choosing the right type of statistical test and the resulting interpretation of the results. Students will become familiar with basic statistical functions in common software (mainly Prism GraphPad) using concrete examples from pharmacy and related fields.
Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2024)
Course completion requirements -
Doctoral students can register for an exam date via email, if this subject is listed in their ISP.
Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2024)
Literature

Obligatory:

  • Li Wan Po, Alain. Statistics for pharmacists. London: Blackwell Sci., 1997, 252 s. ISBN 0-632-04881-6.

  • Box, George E. P. Hunter, J. Stuart Hunter, William Gordon. Statistics for experimenters : design, innovation, and discovery. Hoboken, N.J.: Wiley-Interscience, 2005, 633 s. ISBN 0-471-71813-0.

Last update: prepocet_literatura.php (19.09.2024)
Requirements to the exam -

The oral exam of at most 30 minutes is about the material of all 4 lectures. 

Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2024)
Syllabus -


-    descriptive statistics for quantitative and qualitative data and  their visualization

-    normal and lognormal distribution, tests of (log)normality, qq-plots

-    curve fitting for nonlinear agonist/inhibitor models

-    simple and multiple linear regression

-    simple and multiple logistic regression

-    survival analysis

-    t-tests and nonparametric counterparts

-    ANOVA, one- and two-way and nonparametric counterparts

-    Chi-square and exact Fisher test

-    Correlation coefficient and autocorrelation

Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2024)