Which method should I use?
Describe your research situation in a few words; we surface the methods from the library that best fit your goal and data.
Common question: which method?
For the most-asked situations, the methods the library surfaces.
Which method compares the means of two or more groups?
- Independent samples t-testStatistics
- Welch t-testStatistics
- Hotelling's T² TestStatistics
Which method predicts a continuous outcome from several variables?
- Multivariate RegressionStatistics
- Bayesian Multiple linear regressionStatistics
- Robust Multiple linear regressionStatistics
Which method classifies observations into categories?
- Grey ClusteringSoft Computing
- CNN Image ClassificationDeep Learning
- YOLODeep Learning
Which method groups similar observations without labels?
- K-Means ClusteringMachine Learning
- Hierarchical ClusteringMachine Learning
- Sentence EmbeddingsDeep Learning
Which method tests the association between two variables?
- Robust CorrelationStatistics
- Cramer's VStatistics
- Spearman CorrelationStatistics
Which method reduces many correlated variables to a few factors?
- Principal Component AnalysisMachine Learning
- Partial Least SquaresMachine Learning
- Locally Linear EmbeddingMachine Learning
Which method ranks alternatives across multiple criteria?
Refine this scenario →Which method analyzes time-to-event data with censoring?
- Weibull RegressionSurvival
- Kaplan-Meier EstimatorStatistics
- Royston-Parmar ModelSurvival