Table 1: Categories of statistical procedures in emergency medicine.
| Category | Brief description |
| Descriptive statistics | Percentages, means, standard deviations, medians, interquartile ranges, standard errors, histograms |
| Contingency tables | Chi-square, Fisher's exact test, McNemar's test |
| Multiway tables | Mantel-Haenszel procedure, log-linear models, logistic regression |
| Epidemiologic stats | Prevalence and incidence rates, relative risk, odds ratio, log odds, measures of association, sensitivity, specificity, likelihood ratios |
| Propensity score | Matching, Regression adjustment/stratification, weighting by using propensity score |
| T-tests | One-sample, matched pair, two-sample t-tests, z-test |
| Pearson correlation | Classical product-moment correlation |
| Regression analysis | Linear regression, polynomial regression, and stepwise regression |
| Analysis of variance | ANOVA, analysis of variance, analysis of covariance, simple linear contrasts, F-test |
| Multiple comparisons | Procedures for handling multiple inferences on same data sets – Bonferroni techniques, Scheffe's contrasts, Holm, Dunnett, Duncan's, Newman-Keuls procedure, False discovery Rate [FDR] |
| Non-parametric tests | Sign test, Wilcoxon signed-rank test, Mann-Whitney test, median/range test, Kruskal-Wallis test, Friedman test, Kolmogorov Smirnov test |
| Non-parametric correlation | Spearman's rho, Kendall's tau, Monotone regression, test for trend, Cohen's kappa |
| Confidence intervals | Interval estimate so defined that there is a specified probability that the value of a parameter lies within it |
| Survival methods | Survival function, Kaplan-Meier plot, Proportional hazards model, Other survival model, rate adjustment, log-rank test |
| Adjustment and standardization | Pertains to incidence rates and prevalence rates |
| Power analysis | Use of the size of detectable [or useful] difference in determining sample size |
| Transformation | Use of data transformation [e.g., logs] often in regression |
| Cost-benefit analysis | Process of combining estimates of cost and health outcomes to compare policy alternatives |
| Sensitivity analysis | Examines sensitivity of outcome to small changes in parameters of model or in other assumptions |
| Repeated measures analysis | Repeated measures ANOVA, generalized estimating equation, mixed-effect models for repeated measures |
| Missing data methods | Listwise deletion, Pairwise deletion, Mean substitution, Simple hot-deck, regression estimation, Complete case method, single imputation, Multiple imputation |
| Noninferiority trials | Whether the experimental therapy is not inferior to the active control |
| Receiver-operating characteristic | Decision statistics based on analysis of ROC curves |
| Resampling | Bootstrap, Jackknife, Cross-validation, Permutation procedures |
| Principle component analysis | Factor analysis, stepwise discriminant analysis, Varimax rotation |
| Cluster analysis | Hierarchical, K-means, Two-step clustering, DBSCN |
| Meta-analysis | Statistical technique for combining the findings from independent studies |
| Genetic analysis or Statistical genetics | Aggregation, Heritability and Segregation analysis, Linkage analysis, genetic association analysis, Population Substructure, gene-expression data analysis |
| Other | Anything not fitting above headings |