LECTURE 3: THE LOGIT MODEL-
BINARY OUTCOME
COURSE LECTURER: DR. JULIUS KOECH
1 Dr. J. Koech, Statistician
, LECTURE OUTLINE
Binary outcome
Role of link functions
Why use logit model
Parameter interpretation
2 Dr. J. Koech, Statistician
, Binary Outcome & Regression Models
Often in many research studies, binary responses/categorical
variables are usually measured and their relationship with
other variables of interest tested.
Examples of binary outcomes include E.g. absence/presence
of a disease, voting intention, success in exam/failure, having
a missing mark/complete record etc.
This session introduces binary logistic regression, which
can be used to study the association between:
o A binary outcome (dependent) variable and the explanatory
(independent) variable(s) of interest.
3 Dr. J. Koech, Statistician
BINARY OUTCOME
COURSE LECTURER: DR. JULIUS KOECH
1 Dr. J. Koech, Statistician
, LECTURE OUTLINE
Binary outcome
Role of link functions
Why use logit model
Parameter interpretation
2 Dr. J. Koech, Statistician
, Binary Outcome & Regression Models
Often in many research studies, binary responses/categorical
variables are usually measured and their relationship with
other variables of interest tested.
Examples of binary outcomes include E.g. absence/presence
of a disease, voting intention, success in exam/failure, having
a missing mark/complete record etc.
This session introduces binary logistic regression, which
can be used to study the association between:
o A binary outcome (dependent) variable and the explanatory
(independent) variable(s) of interest.
3 Dr. J. Koech, Statistician
