2. Application of Logistic Regression Model and
epidemiology of Smoking Habits.
logit formulation for modeling the probability,
we have:
To obtain the corresponding logit function
from this, we calculate,
www.statisticsassignmentmasters.com=β0 + β1X1 + β2X2 + . . . + βpXp
3. Assumption 1: Dependent variable should be
dichotomous.
Assumption 2:Independent variables can be
continuous or categorical.
Assumption 3: Dependent variable should
have mutually exclusive and exhastive
categories.
Assumption 4: There should be linear
relationship between continuous variable and
logit transformation of dependent variable.
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7. A logistic regression was performed to ascertain the effects of economic
status, Marital Status, Rurality of dwelling unit, body mass index, whether
had fit/convulsions in last five years, whether drink now a days, has
learning difficulties, self-care, Pain-discomfort, Anxiety, & depression, felt
capable of making decisions, felt constantly under strain, on the likelihood
that participants are smokers.
The logistic regression model was statistically significant, χ2
(37) = 254.037,
p < .01. The model explained 10.8% (Nagelkerke R2) of the variance in
smokers and correctly classified 88% of cases.
ILO unemployed were 2.01 times more likely to be smokers, retired
persons are 1.12 times more likely to be smokers, other economically
inactive were 1.93 times more likely to be smokers when compared with
reference category in employment.
Married were 2 times more likely to be smokers, separated 1.3 times more
likely to be smokers, divorced were less likely to be smokers OR=0.94,
widowed were 1.44 times more likely to be smokers and cohobates with
less likely to be smokers OR=0.75 when compared with reference
category Single.
Those who live in rural dwelling unit Town and fringe were less likely to be
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8. when the persons with no fit and convulsion in last five year group were
1.63 times more likely to be smokers than reference category of those
who have fit and convulsions in last five years.
Both the group who were drink now a days and those who do not drink
now a days were equally likely to be smokers, adjusted OR=1.00, for
the group who has learning difficulties were 1.16 times more likely to be
smokers when compared to reference category those who do not have
learning difficulties.
For the group some problems washing or dressing were 2.07 times
more likely to be smokers, unable to wash or dress were 1.63 times
more likely to be smokers when compared to no problem with self care.
Group with moderate pain or discomfort were 1.45 times more likely to
be smokers, extreme pain or discomfort were 1.09 times more likely to
be smokers when compared to the reference group no pain or
discomfort.
For felt capable of making decisions, Same as usual group exhibit 1.14
time more likely to be smokers, less so than usual group exhibit 1.35
times more likely to be smokers, Much less than capable group 1.49
times more likely to be smokers when compared with felt capable morewww.statisticsassignmentmasters.com
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