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. Author manuscript; available in PMC: 2007 Feb 10.
Published in final edited form as: Stat Med. 2007 Feb 10;26(3):596–619. doi: 10.1002/sim.2532

Table 2.

Denominator degrees of freedom summary.

a) In terms of the OR mean squares and covariances estimates:
ddfO = (t-1)(r-1)
ddfD={[MS(TR)+r(Cov^2Cov^3)]2MS(TR)2(t1)(r1)+[σ^2Cov^1+(r1)(Cov^2Cov^3)]2(t1)(c1)+[σ^2Cov^1Cov^2+Cov^3]2(t1)(r1)(c1),Cov^2Cov^3>0(t1)(r1),Cov^2Cov^30}
ddfH=[MS(TR)+max[r(Cov^2Cov^3),0]]2[MS(TR)]2(t1)(r1)
b) Relationships:
ddfD ≤ddfH
ddfo=(t1)(r1){ddfH,Cov^2Cov^3>0=ddfH,Cov^2Cov^3=0}
ddfD can be larger or smaller than ddfO
c) In terms of the DBM mean squares:
ddfO = (t-1)(r-1)
ddfD={[MS(TR)pseudo+MS(TC)pseudoMS(TRC)pseudo]2MS(TR)pseudo2(t1)(r1)+MS(TC)pseudo2(t1)(c1)+MS(TRC)pseudo2(t1)(r1)(c1),MS(TC)pseudoMS(TRC)pseudo>0(t1)(r1),MS(TC)pseudoMS(TRC)pseudo0}
ddfH={MS(TR)pseudo+max[MS(TC)pseudoMS(TRC)pseudo,0]}2MS(TR)pseudo2[(t1)(r1)]