Past events 2018

Speaker: Dr. Fränzi Korner-Nievergelt
8822 1486729262

Statistics Module 3: Generalised linear models and generalised linear mixed models

Statistics Module 3: Generalised linear models and generalised linear mixed models
Generalised linear models and generalised linear mixed models: Binomial model, Poission model, GLMM and work on own data [more]
8985 1488895986

Statistics Module 4: Own Data Workshop

Statistics Module 4: Own Data Workshop
Guided work on own data. [more]
14714 1533115941

Statistics Module 1: Introduction to basic statistics and R

Statistics Module 1: Introduction to basic statistics and R
Day 1: Introduction to R (working in the batch modus, programming language R, reading and displaying data, writing functions, simulating data) + Basic theory (Probability distributions, Central limit theorem, Bayes theorem, Bootstrapping, Inference from data using frequentist and Bayesian methods, classical frequentist tests (t-, F-, Chi-, Wilcoxon-test)) Day 2: Computation techniques (Monte Carlo simulation, Approximations), Application to own or simulated data: Comparison of two means using frequentist and Bayesian methods, Discussion [more]
14707 1533116033

Statistics Module 2: Linear Models and Linear Mixed Models with R

Statistics Module 2: Linear Models and Linear Mixed Models with R
Linear models (LM) and linear mixed models (LME): Linear Regression, multiple Regression, ANOVA, ANCOVA, model selection (group work), linear mixed models, work on own data [more]
14708 1542205852

Statistics Module 3: Generalised linear models and generalised linear mixed models

Statistics Module 3: Generalised linear models and generalised linear mixed models
Generalised linear models and generalised linear mixed models: Binomial model, Poission model, GLMM and work on own data [more]
14706 1533115967

Statistics Module 4: Own Data Workshop

Statistics Module 4: Own Data Workshop
Guided work on own data. [more]
18600 1561730875

Statistics Module 1: Introduction to basic statistics and R

Statistics Module 1: Introduction to basic statistics and R
Day 1: Introduction to R (working in the batch modus, programming language R, reading and displaying data, writing functions, simulating data) + Basic theory (Probability distributions, Central limit theorem, Bayes theorem, Bootstrapping, Inference from data using frequentist and Bayesian methods, classical frequentist tests (t-, F-, Chi-, Wilcoxon-test)) Day 2: Computation techniques (Monte Carlo simulation, Approximations), Application to own or simulated data: Comparison of two means using frequentist and Bayesian methods, Discussion [more]
18599 1571293318

Statistics Module 2: Linear Models and Linear Mixed Models with R

Statistics Module 2: Linear Models and Linear Mixed Models with R
Linear models (LM) and linear mixed models (LME): Linear Regression, multiple Regression, ANOVA, ANCOVA, model selection (group work), linear mixed models, work on own data [more]
18598 1571293165

Statistics Module 3: Generalised linear models and generalised linear mixed models

Statistics Module 3: Generalised linear models and generalised linear mixed models
Generalised linear models and generalised linear mixed models: Binomial model, Poission model, GLMM and work on own data [more]
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