Subjects

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Applied Statistics - GAF401

Title:	Applied Statistics
Guaranteed by:	Department of Biophysics and Physical Chemistry (16-16110)
Faculty:	Faculty of Pharmacy in Hradec Králové
Actual:	from 2024
Semester:	winter
Points:	0
E-Credits:	2
Examination process:	winter s.:
Hours per week, examination:	winter s.:8/10, C [HS]
Capacity:	unlimited / unlimited (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 can be enrolled in outside the study plan enabled for web enrollment

Guarantor:	doc. Dipl.-Math. Erik Jurjen Duintjer Tebbens, Ph.D.
Pre-requisite :	GAF105

Examination dates WS schedule

Annotation -

Applied Statistics deals with basic statistical methods used in pharmacy. 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 -

Conditions for granting the credit test – Applied statistics

1. Active participation during all seminars – in the case of absence, a written
excuse by the physician must be handed over.
2. The student must pass the final test in which all tasks must be fulfilled in a
satisfactory way. Every student has at most 3 tries.

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

Literature -

Recommended:

KLEMERA, Petr. Applied statistics. Hradec Králové: Hradec Králové : Charles University in Prague, Faculty of Pharmacy in Hradec Králové, 2012, s. ISBN .

Last update: prepocet_literatura.php (19.09.2024)

Teaching methods -

The guarantor lectures, teachers conduct seminars. Consultation may be based on a personal, telephone or email order.

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

Requirements to the exam -

There is no exam for this course.

Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (10.10.2024)

Syllabus -

- descriptive statistics for quantitative and qualitative data and their visualization

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

- t-tests and nonparametric counterparts

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

- curve fitting for nonlinear agonist/inhibitor models

- simple and multiple linear regression

- simple and multiple logistic regression

- survival analysis

- Chi-square and exact Fisher test

- Correlation coefficient and autocorrelation

Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (10.10.2024)

Learning outcomes

The Applied Statistics course expands general knowledge of descriptive statistics and introduces students to mathematical statistics, building on the knowledge gained in the course Mathematics.

After completing the course, students will be able to use the following statistical procedures: T-tests, ANOVA, linear and logistic regression, chi-square test and Fisher's exact test, non-parametric analogues of t-tests and ANOVA, normality and log-normality tests, survival analysis.

Learning outcomes:

After completing the course, the student is able to correctly perform the following tasks:

- explain the principles of hypothesis testing and explain variability in data in ANOVA and linear regression analyses;

- select the correct type of statistical analysis for a given issue and assess the suitability of the procedure based on data properties such as normality and sample size;

- calculate their coefficients in regression analyses using software, especially the slope, odds ratio and hazard ratio;

- interpret the results based on p-values and confidence intervals;

- illustrate the results by creating appropriate graphs and figures;

Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (28.03.2025)