Nice table from http://www.graphpad.com/www/book/choose.htm
Table 37.1. Selecting a statistical test
| Type of Data |
Goal | Measurement (from Gaussian Population) | Rank, Score, or Measurement (from Non- Gaussian Population) | Binomial
(Two Possible Outcomes) | Survival Time |
Describe one group | Mean, SD | Median, interquartile range | Proportion | Kaplan Meier survival curve |
Compare one group to a hypothetical value | One-sample ttest | Wilcoxon test | Chi-square
or
Binomial test ** | |
Compare two unpaired groups | Unpaired t test | Mann-Whitney test | Fisher's test
(chi-square for large samples) | Log-rank test or Mantel-Haenszel* |
Compare two paired groups | Paired t test | Wilcoxon test | McNemar's test | Conditional proportional hazards regression* |
Compare three or more unmatched groups | One-way ANOVA | Kruskal-Wallis test | Chi-square test | Cox proportional hazard regression** |
Compare three or more matched groups | Repeated-measures ANOVA | Friedman test | Cochrane Q** | Conditional proportional hazards regression** |
Quantify association between two variables | Pearson correlation | Spearman correlation | Contingency coefficients** | |
Predict value from another measured variable | Simple linear regression
or
Nonlinear regression | Nonparametric regression** | Simple logistic regression* | Cox proportional hazard regression* |
Predict value from several measured or binomial variables | Multiple linear regression*
or
Multiple nonlinear regression** | | Multiple logistic regression* | Cox proportional hazard regression* |
very very useful, thanks a lot!
ReplyDelete