# Drug Info Final 5

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1. What does a survival analysis (time-to-event) do?
Determines and/or compares the survival or disease-free period of a group or groups over time.

*Estimates the probability of survival as a function of time from a specific starting point.
2. List 1 definite and 3 potential parameters for a survival analysis:
1. Time*

• 2. Survival vs death
• 3. Disease free vs disease occurrence
3. List the two statistical tests associated with a kaplan-meier curve.
• 1. Cox proportional hazard model (reports a p-value)
• 2. Hazard Ratio (HR)
4. Define a cox proportional hazard model:
Used to determine relationships between the time to an event and the explanatory variables.
5. Define a regression analysis:
Provides a functional relationship allowing for an outcome prediction based on an intervention.
6. On a regression analysis, x-axis is usually _______ and y-axis is usually _______.
• x-axis is usually the independent variable
• y-axis is usually the dependent variable
7. Parameters:
- Normal distribution
- Continuous data
- 1 dependent and 1 independent variable.

Which type of regression analysis should be used?
Simple linear regression.
8. Parameters:
- Normal distribution
- Continuous data
- 1 dependent and > 1 independent variable.

Which type of regression analysis should be used?
• Multiple linear regression.
• *A more complex analysis.
9. Parameters:
- Normal distribution
- Categorical data
- 1 dependent and 1 independent variable.

Which type of regression analysis should be used?
SImple logistic regression.
10. Response variable =
Explanatory variable =
• - response variable = dependent variable
• - explanatory variable = independent variable
11. Statistical outcomes for a simple logistic regression (4):
• 1. Regression equation
• 2. Odds ratio
• 3. 95% CI
• 4. P-value
 Author: jdonaldson ID: 54153 Card Set: Drug Info Final 5 Updated: 2010-12-09 02:00:34 Tags: Drug Info drug info james donaldson James Donaldson usp USP Folders: Description: Why didn't I just finish out at Rowan? Show Answers: