Drug Info Final 5

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Author:
jdonaldson
ID:
54153
Filename:
Drug Info Final 5
Updated:
2010-12-08 21:00:34
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Drug Info drug info james donaldson James Donaldson usp USP
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Description:
Why didn't I just finish out at Rowan?
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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
    • 4. adverse event vs no adverse event
  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

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