The document discusses various types of statistical models used for analyzing dependent variables, particularly focusing on cases with multiple dependent variables and their characteristics. It emphasizes differences between models such as linear regression, truncated regression, and ANOVA, based on the nature of the dependent and independent variables. Key factors in model selection include the ordinal nature of categorical dependent variables and the consideration of interactions among independent variables.

1. Howmany
dependent
variablesdoesyour
modelhave?
Whatisthenature
ofthedependent
variable
Aretheexplanatory
variables
continuous?
Multivariate
Models
SelectCount
DataModels
Howmanylevels
doesyour
categorical
response
variablehave?
Count
>1
1
Censored
Survival
Related
Yes
Yes
No
Yes
No
No
No
>2
2
>1Factor
Truncated
Yes
Continuous
Categorical
Alsoknownas
univariatemodels
Dependent/response
variablesrepresentthe
outputoreffect
Arethelevels
ofthecategorical
dependent
variableordered?
Howmanyfactors
areconsidered
inthemodel?
Whichoneisit?
Truncated
Regressioinmodels
CensoredRegression
Models
Ordered
Multinomial
BinaryChoiceModel
FactorialAnova
OneWayAnova MainEffects
DurationModels
LinearRegression
Models
Howtochoosea
STATISTICALMODEL
AKAINPUTS
Alsoknownasmulti
responsemodels
Inthesemodels,more
than1dependent
variables
aremodelledjointly.
Thesemodelsareusedwhenthedependent
variablerepresentsadiscretecount.
Thus,ittakesintegervaluesgreater
thanorequaltozero.E.G.THENEGATIVE
BINOMIALORPOISSONMODELS
Isthedependent
variabletruncated
orcensored?
Theeffectofeachof
thefactorialindependent
variablesisconsidered
separately.
ThisANOVAisusedonlywhenthe
effectofonefactorialexplanatory
variableisconsidered.
Thesemodelsareusedwhenboth
thedependentandindependent
variablesarecontinuous.
Thesemodelsareusedtomodelthe
timeindividualsareinastatebefore
acertaineventtakesplace.For
certainindividualstheeventmight
nothaveyettakenplacewhenthe
analysisisdone.
Someofthevaluesofthe
dependentvariablebeyonda
certainthresholdarenotavailable.
Thevaluesofindependent
variablesfortheseobservations
areavailable.
Thesemodelsconsidertheeffect
ofinteractionbetweenthefactorial
independentvariablesalong
withtheirindividualeffects.
Thesemodelsareusedwhen
thedependentvariabletakes
onlytwovalues.e.g.LOGITOR
PROBITMODELS
Thesemodelsareusedwhen
thereisnoclearorderingamong
thelevelsoftheresponsevariable.
Thesemodelsareusedwhen
thereisaclearorderingamong
thelevelsoftheresponse
variable.
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Thesomevaluesofdependent
variablesareexcludedbasedon
somethreshold.Valuesofneither
thedependentnortheindependent
variableareavailable.
Doestheinteraction
betweenthefactors
holdimportancein
yourmodel?
Yes
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