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13 Cards in this Set
- Front
- Back
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what types of dependent variables may be used in a logistic regression
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Dependent variable
Categorical Dichotomous Ex: Alive or dead, male or female, cured or not-cured |
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Describe when the Kaplan-Meier method is used
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Survival analysis
Probability of experiencing an event over time -Outcome is dichotomous -Patients followed over time until they experience an event Ex: alive or dead, experienced an event or not |
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Logistic Regression
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Use to predict the probably an event will occur using a logistic curve for categorical data
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what types of independent variables may be used in a logistic regression
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Independent variables
Any type |
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Statistical Tests used to compare curves in Kaplan-Meier method
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Wilcoxon rank-sum test
Mann-Whitney U test Logrank test Result in a p value |
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what a correlation coefficient tells us?
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direction of relationship
and strength of relationship |
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Correlation Coefficient Strength Interpretation
0.00 - 0.20 0.20 - 0.40 0.40 - 0.60 0.60 - 0.80 0.80 - 1.00 |
Positive or negative
Coefficient Range Very Low Low Moderate High Moderate Very High |
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Regression
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concerned with using this relationship for prediction
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Coefficient of Determination
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squaring Pearson r,r2
-r2 tells us how much of the variation in the Y is accounted for by the X |
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What is meant by r2 = (.882) = .774
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77% of the variation of the DV is accounted for the IV.
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True or false.Use the adjusted r2 value when looking at output.
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true
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Is it practically significant?
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Look at the the adjusted r2 value
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Is this model significant?
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Look at the Sig. value
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