Introduction to Statistical Modelling
Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute,  December 2015.
************************************************
These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.
************************************************
*Recommended Youtube playback settings for the best viewing experience:  1080p HD
************************************************
Content:
Introduction to
-Models for Other Data Types:
---Logistic regression: binary outcome
---Ordinal logistic regression: ordinal outcome (ordered categories)
---Generalised linear models: outcomes with other distributions
---Survival analysis: time to event data (when event may or may not happen)
-Models taking Account of Specific Data Structures:
---Repeated measures data
---Mixed or multilevel models

Models may be used for same purposes as GLMs
-Improve efficiency by :
---Allowing for data structure, eg cages, plates
---Fitting a covariate, eg pre-intervention measurement
-Control for confounding factors
---Eg Analysis weight after adjustment for age
-Test two effects in same analysis
---Controlling for each other
---Eg Diet and breed
-Test for an interaction
-Build a predictive model
---Eg predict weight from a range of data