no subj |
dose(mouse) |
dose(human) |
no. wi tumor |
prop |
binom pi |
exact |
log likelihood |
50 |
0 |
0 |
0 |
0 |
0 |
0 |
|
50 |
25 |
3.5714286 |
4 |
0.1 |
0.2543 |
0.224524504 |
-17.671911 |
50 |
50 |
7.1428571 |
20 |
0.4 |
0.5086 |
0.398637755 |
-33.650777 |
50 |
100 |
14.285714 |
37 |
0.7 |
1.0171 |
0.63836345 |
-29.82986 |
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Sum |
of log likelihoods = |
-81.152547 |
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q = |
0.0711981 |
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ONE HIT MODEL |
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Formulas |
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dose(human) = dose(mouse)/7 |
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binom pi = q*dose = $D$7*Ci |
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exact = 1 - expt(q*dose) = 1 - EXP(-$D$7*Ci) |
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log likelihood = Di*LN(Gi)+(50-Di)*LN(1-Gi) |
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H6 = Sum(H3:H5) |
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seed q = .001 |
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Use Solver to maximize H6 by changing D7 |
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