FOUNDATIONAL TERM
Confounding
混杂
The influence of other factors becomes mixed with the exposure–outcome relationship, complicating causal interpretation.
Study this concept in context
07 · How Health Research Works: Experiments, Observation, and Causation
A study finds that regular walkers are healthier. Does walking make the difference, or are healthier people more able to walk regularly? Good research uses careful comparisons to distinguish these explanations.
42 · Nutrition research, labels and health claims
Nutrition advertising often turns a true statement about an ingredient into an untested promise about health. This lesson translates such promises into testable questions and distinguishes the roles of research, labeling, and regulation.
90 · How epidemiology studies disease in populations
Case counts become informative through denominators, time, and credible comparison. Hypothetical data illustrate prevalence, incidence risk, and association measures, while study design, bias, confounding, and causal reasoning explain what conclusions are justified.
Sources
- NIH:临床试验基础
- CDC:现场分析研究的设计与实施
- CDC: Analyzing and interpreting data
- CDC:资料收集与误差
- NCCIH: Checklist for Understanding Health News
- Cochrane:解释研究结果与形成结论
Definitions come from the published lessons. Read the linked lesson for mechanisms, conditions and examples.
