In survival analysis, the<unk>  <unk>  is the ratio of the<unk>  rates corresponding to the conditions described by two levels of an explanatory variable. For example, in a drug study, the treated population may die at twice the rate per unit time of the control population. The<unk>  would be 2, indicating higher<unk>  of death from the treatment.<unk> s differ from relative risks (RRs) and odds ratios (ORs) in that RRs and ORs are cumulative over an entire study, using a defined endpoint, while<unk> s represent instantaneous risk over the study time period, or some subset thereof.<unk> s suffer somewhat less from selection bias with respect to the endpoints chosen and can indicate risks that happen before the endpoint.
Hazard ratio
Odds ratio
Risk difference
Minimal important difference
Absolute threshold
Threshold limit value
Standardized mortality ratio
Indicative limit value