# Drug Info Final 5

 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. List 1 definite and 3 potential parameters for a survival analysis: 1. Time* 2. Survival vs death3. Disease free vs disease occurrence4. adverse event vs no adverse event List the two statistical tests associated with a kaplan-meier curve. 1. Cox proportional hazard model (reports a p-value)2. Hazard Ratio (HR) Define a cox proportional hazard model: Used to determine relationships between the time to an event and the explanatory variables. Define a regression analysis: Provides a functional relationship allowing for an outcome prediction based on an intervention. On a regression analysis, x-axis is usually _______ and y-axis is usually _______. x-axis is usually the independent variabley-axis is usually the dependent variable Parameters: - Normal distribution - Continuous data - 1 dependent and 1 independent variable. Which type of regression analysis should be used? Simple linear regression. 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. Parameters: - Normal distribution - Categorical data - 1 dependent and 1 independent variable. Which type of regression analysis should be used? SImple logistic regression. Response variable = Explanatory variable = - response variable = dependent variable- explanatory variable = independent variable Statistical outcomes for a simple logistic regression (4): 1. Regression equation2. Odds ratio3. 95% CI4. P-value Authorjdonaldson ID54153 Card SetDrug Info Final 5 DescriptionWhy didn't I just finish out at Rowan? Updated2010-12-09T02:00:34Z Show Answers