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Introductions
Introduction to research
Philosophy of Science
Validity and reliability
Introduction to statistics
Introduction to qualitative methods
Evidence based medicine (EBM)
Software
Reference management
G*Power (ENG)
IBM SPSS (ENG)
Jamovi
MedCalc
STATA
The R project
SAS
Epi Info
NVivo
Statistics
Introduction to statistics
Study design
Pilot studies (feasibility studies)
Important concepts
Observations and variables
Central tendency
Statistical dispersion
Significant figures
Distributions
Standard error
Standard deviation
Confidence intervals
Standard population
Degrees of freedom
Level of significance
Sampling Strategies and Data Collection
Clean data file
Descriptive statistics
Descriptive statistics using numbers
Descriptive statistics using tables
Descriptive statistics using graphs
Confidence intervals
Inferential statistics
Effect size
Comparing groups
Parametric methods
Student’s t-test / ANOVA
Z-test
Non parametric methods
Chi-Square
Fisher’s exact test
Kaplan-Meyer and Log rank test
Mann-Whitney / Kruskal Wallis
Signs test / McNemars test
Propensity Score Matching (PSM)
Covariation
Agreements
Sensitivity / Specificity / ROC
Predictive value of test
Etiologic predictive value (EPV)
EPV Calculator version 3.4
Likelihood ratio
Intra class correlation (ICC)
Kappa coefficient
Limits of agreement and Bland-Altman plots
Associations and predictions
Relative risk / Odds ratio
Cramer’s V-index
Cronbach’s alpha
Cochran-Mantel-Haenszel method
Correlation and regression
Bivariate correlation (Pearson and Spearman)
Standard linear regression
Logistic regression
Analysis of count data
Cox regression
Regularized regression
Propensity Score Matching (PSM)
Mixed-effects models
Advanced methods
Factor analysis
Multilevel analysis
Choosing statistical analysis
Sample size estimation
Health economics
Special scenarios
Superiority, equivalence and non-inferiority trials
Intention to treat / Per protocol
Randomization
Rating scales and their statistics
Surveys-Questionnaires
Simpson’s paradox
Survival analysis
Evaluation of tests
Transformation of data
Comparing health care providers
Statistical software
IBM SPSS (ENG)
Jamovi
MedCalc
STATA
The R project
SAS
Epi Info
Qualitative methods
Introduction to qualitative methods
Sampling Strategies and Data Collection
Transcribing
Coding and analysing qualitative data
Case studies
Content analysis
Ethnography
Grounded theory
Hermeneutics
Phenomenography
Phenomenology
Managing a project
Curiosity and creativity
Supervision of research
Study protocol
Ethical review
Funding research
Research logbook
Writing a scientific publication
Litterature review
Searching for literature
Oral presentation
Storing of data
The research process
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Introductions
Introduction to research
Philosophy of Science
Validity and reliability
Introduction to statistics
Introduction to qualitative methods
Evidence based medicine (EBM)
Software
Reference management
G*Power (ENG)
IBM SPSS (ENG)
Jamovi
MedCalc
STATA
The R project
SAS
Epi Info
NVivo
Statistics
Introduction to statistics
Study design
Pilot studies (feasibility studies)
Important concepts
Observations and variables
Central tendency
Statistical dispersion
Significant figures
Distributions
Standard error
Standard deviation
Confidence intervals
Standard population
Degrees of freedom
Level of significance
Sampling Strategies and Data Collection
Clean data file
Descriptive statistics
Descriptive statistics using numbers
Descriptive statistics using tables
Descriptive statistics using graphs
Confidence intervals
Inferential statistics
Effect size
Comparing groups
Parametric methods
Student’s t-test / ANOVA
Z-test
Non parametric methods
Chi-Square
Fisher’s exact test
Kaplan-Meyer and Log rank test
Mann-Whitney / Kruskal Wallis
Signs test / McNemars test
Propensity Score Matching (PSM)
Covariation
Agreements
Sensitivity / Specificity / ROC
Predictive value of test
Etiologic predictive value (EPV)
EPV Calculator version 3.4
Likelihood ratio
Intra class correlation (ICC)
Kappa coefficient
Limits of agreement and Bland-Altman plots
Associations and predictions
Relative risk / Odds ratio
Cramer’s V-index
Cronbach’s alpha
Cochran-Mantel-Haenszel method
Correlation and regression
Bivariate correlation (Pearson and Spearman)
Standard linear regression
Logistic regression
Analysis of count data
Cox regression
Regularized regression
Propensity Score Matching (PSM)
Mixed-effects models
Advanced methods
Factor analysis
Multilevel analysis
Choosing statistical analysis
Sample size estimation
Health economics
Special scenarios
Superiority, equivalence and non-inferiority trials
Intention to treat / Per protocol
Randomization
Rating scales and their statistics
Surveys-Questionnaires
Simpson’s paradox
Survival analysis
Evaluation of tests
Transformation of data
Comparing health care providers
Statistical software
IBM SPSS (ENG)
Jamovi
MedCalc
STATA
The R project
SAS
Epi Info
Qualitative methods
Introduction to qualitative methods
Sampling Strategies and Data Collection
Transcribing
Coding and analysing qualitative data
Case studies
Content analysis
Ethnography
Grounded theory
Hermeneutics
Phenomenography
Phenomenology
Managing a project
Curiosity and creativity
Supervision of research
Study protocol
Ethical review
Funding research
Research logbook
Writing a scientific publication
Litterature review
Searching for literature
Oral presentation
Storing of data
The research process
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