What are the common statistical methods used in cancer research?
Several statistical methods are commonly used in cancer research, including:
- Survival Analysis: Techniques like the Kaplan-Meier estimator and Cox proportional hazards model are used to analyze time-to-event data, such as time to death or recurrence of cancer. - Logistic Regression: This method is used to assess the association between a binary outcome (e.g., presence or absence of cancer) and one or more predictor variables. - Meta-Analysis: Combining data from multiple studies to provide a more comprehensive understanding of cancer-related outcomes. - Bayesian Methods: These techniques incorporate prior knowledge and update the probability of outcomes as new data becomes available.
