Suppose we conduct a study to determine the predictors of mortality among adults in an intensive care unit (ICU). We collect the vital status (STA) of 200 individuals; STA is coded as 0 if the individual “Lived” and 1 if the individual “Died”. Data on potential predictors were also collected including age (in years), presence of cancer (CAN, coded as 0=No and 1=Yes), CPR prior to ICU admission (CPR, coded as 0=No and 1=Yes), probable infection at ICU admission (INF, coded as 0=N0 and 1=Yes). We analyze the data using SAS's LOGISTIC procedure and observe the results shown in Table 2.
1) Identify the dependent variable and the independent variables in this study. Also, state the Omnibus Null and Alternative hypotheses.
Dependent variable = STA
it has two categories Yes or No
Independent variable = AGE , CAN , CPR INF
Hypothesis :-
H0 :- The mean (average value of the dependent variable) is the same for all groups.
v/s
H1 :- The mean (average value of the dependent variable) is not same for all groups.
Suppose we conduct a study to determine the predictors of mortality among adults in an intensive...
ApyhoLoaist Conductea) A study o stability (X) and The employees b pe,formaKV) and B stit e The Fite) Response fiaction An employee's emaioha Maxium ik estmas of B D) what is兀estiwatid pelability That emplyees will perform2 Bo and d) use仄likelihaJ Rat tutto determine onterroni obtain a 90% Ghfidene interval fo- Multiple Logistic Regression The LOGISTIC Procedure Model Informatiorn Data Set Response Variable Number of Response Levels2 binary logit Technique Fishers scoring Number of Observations Read Number of Observations Used 27...
Fit an initial model with the above covariates and examine the
Odds ratios with their CI and comment on the results (as far as the
OR are concerned).
Probability modeled is Pain-Yes Odds Ratios with 95% Wald Connderbc. Limits Treatment Dvs Duraton Odds Ratio Parttion for the Hosmer and Lemeshow Test Pain No Group Total ObservedExpected Observed Expected 5.90 5.78 5.49 4.91 4. 18 3.46 2.68 1.56 0.90 0.14 0.10 0.22 0.51 .09 1.82 2.54 3.32 4.44 5.10 5.86 5...
What type of analysis is this?
ANCOVA
Linear regression
Logistic regression
One-way ANOVA
Two-way ANOVA
Consider the follow-up study data from the Evans County (Georgia) Heart Disease Study described by Cassels (1971). The data pertain to a cohort of 609 healthy white males between the ages of 40 and 76 who were residents of Evans County in 1960. The cohort was followed for 7 were identified, The level of years, after which new cases of coronary heart disease (CHD) circulating...
I need help interpreting logistic regression results to answer
the following question: Does GRE scores, undergraduate GPA and the
prestige (yes or no) of their undergraduate program effect
admission (yes or no) into graduate school?
Fit Group 4 Logistic Fit of ADMIT 2 By GRE 1.00 Contingency Analysis of ADMIT 2 By TOPNOTCH 2 4 Mosaic Plot Logistic Fit of ADMIT 2 By GPA 1.00 1.00 0.75 0.75 No 0.75 No No ADMIT 2 0.50 N 0.50 ADMIT 2 ADMIT...
Are there any reference cells in this problem? If so, what are
they?
No, there are no reference cells.
Yes, reference cells are high CAT, ever smoked, abnormal ECG,
and high BP.
Yes, reference cells are normal CAT, never smoked, normal ECG,
and not high BP.
Yes, reference cells are higher age, higher cholesterol, higher
DBP, and higher SBP.
Both b and d
Both c and d
How many dummy variables need to be included in the model for
high...