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Used to compare two groups that are assumed to be independent (different populations). |
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non-parametric version of t-test |
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Used to compare one subject or population, usually a before and after. |
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Wilcoxon signed-rank test |
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Non-parametric equivalent of PAIRED t-test. Use with ranked data. |
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Tests if two or more PROPORTIONS are different. |
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Used in place of Chi-square when there are fewer than 5 cases in any subgroup. |
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Chi-square test for trend |
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To assess association between a nominal variable and an ordinal variable. |
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Analysis of variance- looks for differences in means of at least 3 subgroups. |
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Used to compare magnitude of variances in various subgroups. |
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Non-parametric equivalent of the f-test. Used to compare continuous, non-normal distributions of variables. |
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Used to assess the change in 2 or more continuous measurements made on the same person. Same analysis as ANOVA, but different data type. |
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Cox Proportional Hazards Regression |
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Used to assess relationships of factors (age, treatment group) with time-to-event curves (i.e., survival curves). |
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A certain result is "x" times more likely to be observed in a patient with a certain condition than a patient without that condition. |
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How well the study was conducted, i.e. were the individuals blinded? were there any fatal flaws? |
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Is the study applicable to real-world patient populations? |
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Number with disease
Number unaffected |
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Odds of disease in exposed persons
Odds of disease in unexposed persons |
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Number with disease
Number at risk for disease |
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Number of new cases in a given time period
Number of persons at risk for a disease |
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Incidence (exposed)
Incidence (unexposed) |
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Pearson's correlation coefficient |
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Definition
Used to measure the correlation within a continuous data set. r varies between 1 and -1. |
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Correlation coefficient used for RANKED data |
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Unordered, categorical data (dead or alive, hair color, etc.) |
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Ordered, categorical data. (Agree, neutral, disagree) |
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