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t
-tests
|
One-sample, matched pair and two-sample t-tests |
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Contingency tables
|
Chi-square tests, Fisher's exact test, McNemar's test |
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Pearson correlation
|
Classical product moment-correlation |
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Simple linear regression
|
Least squares regression with one predictor and one response variable |
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Power
|
Loosely defined, includes use of the size of detectable (or useful) difference in determining sample size |
|
Epidemiological statistics
|
Relative risk, odds ratio, log odds, measures of association, sensitivity, specificity |
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Adjustment and standardization
|
Pertains to incidence rates and prevalence rates |
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Multiway tables
|
Mantel-Haenszel procedure, log-linear models |
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Non-parametric tests
|
Sign test, Wilcoxon signed-rank test, Mann-Whitney test |
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Non-parametric correlation
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Spearman's rho, Kendall's tau, test for trend |
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Analysis of variance
|
Analysis of variance, analysis of co-variance and F-tests |
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Multiple comparisons
|
Procedures for handling multiple inferences on same data sets, includes Bonferroni techniques, Scheffe's contrasts, Duncan multiple range procedures, Newmann-Keuls procedure |
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Transformation
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Use of data transformation (e.g logarithms) often in regression |
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Multiple regression
|
Includes polynomial regression and stepwise |
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Life table
|
Actuarial life table, Kaplan-Meier estimate of survival |
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Regression for survival
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Includes Cox regression and logistic regression |
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Other survival analysis
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Breslow's Kruskal-Wallis, log-rank, Cox model for comparing survival |
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Cost benefit analysis
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The process of combining estimates of cost and health outcomes to compare policy alternatives |
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Sensitivity analysis
|
Examines sensitivity of outcome to modest changes in parameters of model, or in other assumptions |
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Other
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Anything not fitting above headings, includes cluster analysis, discriminant analysis and some mathematical modeling |
