Table.
Weighting schemes for case–cohort designs.
Type of case–cohort design | Cases not in sub-cohort | Non-cases in sub-cohort | Cases in sub-cohort | |||
---|---|---|---|---|---|---|
| ||||||
Simple All cases selected; Selection probability of sub-cohort = x% | ||||||
TY-ε to TY: w=1.0 | w= 1/x% | T0 to TY-ε: w= 1/x% TY-ε to TY: w=1.0 |
||||
| ||||||
Covariate-stratified All cases selected; Sub-cohort selection probabilities of xA% (Group A) and xB% (Group B) | ||||||
Group A | TY-ε to TY: w=1.0 | w= 1/xA% | T0 to TY-ε: w= 1/xA% TY-ε to TY: w=1.0 |
|||
Group B | TY-ε to TY: w=1.0 | w= 1/xB% | T0 to TY-ε: w= 1/xB% TY-ε to TY: w=1.0 |
|||
| ||||||
Outcome-stratified 100% of type I and y% of type II cases selected; Sub-cohort selection probability x% for all | ||||||
Type I: TY-ε to TY: w=1.0 |
Type II: TY-ε to TY: |
w= 1/x% |
Type I: T0 to TY-ε: w= 1/x% TY-ε to TY: w=1.0 |
Type II: T0 to TY-ε: w= 1/x% TY-ε to TY: |
||
| ||||||
Covariate- and Outcome-stratified 100% of type I and y% of type II cases selected; Sub-cohort selection probabilities of xA% (Group A) and xB% (Group B)a | ||||||
Group A |
Type I: TY-ε to TY: w=1.0 |
Type II: TY-ε to TY: |
w= 1/xA% |
Type I: T0 to TY-ε: w= 1/xA% TY-ε to TY: w=1.0 |
Type II: T0 to TY-ε: w= 1/xA% TY-ε to TY: |
|
Group B |
Type I:
TY-ε to TY: w=1.0 |
Type II: TY-ε to TY: |
w= 1/xB% |
Type I: T0 to TY-ε: w= 1/xB% TY-ε to TY: w=1.0 |
Type II: T0 to TY-ε: w= 1/xB% TY-ε to TY: |
|
| ||||||
Case-independent designs Selection probability of cases = v%; Selection probability of non-cases = z% | ||||||
w=1/v% | w= 1/z% | w=1/v% |
W = weight;T0 = Start of follow-up; TY = Event time, ε= a very small number (less than a unit increase on your time scale)
Assumes case selection independent of group selection, but if this is not the case the weights can be calculated separately for each group/subtype combination (e.g. selecting yA% of type II cases in group A but yB% of type II cases in group B)