*05. V0605. Gasqui. Individual


 Predicting the distribution



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v0605

3.2. Predicting the distribution 
of the number of mastitis 
per lactation if there was no Ren,
using the Orcival farm data
From the final model estimates, it was
possible to predict the distribution of the
number of mastitis that would have been
observed if there had been no Ren, that is, if
the treatments applied for clinical mastitis
had been fully efficient against the germs
present. This distribution was obtained by
using the Rex hazard estimates previously
obtained and setting the Ren hazard at a null
value. This distribution, presented in
Table VII, was compared to the observed
distribution. It was then possible to note,
for that farm, that there was no lactation
with more than 2 clinical mastitis over a
calving season in a 100-head population.
The probability of lactations with 3 or more
clinical mastitis was estimated as below 1%
(0.63%). 
3.3. Prediction involving the Marcenat
farm cows, based on the preceding
estimates of model parameters
From the hazard estimates based on the
Orcival farm data and by using the Marce-
nat farm data factor modalities, the distri-
bution of the number of mastitis per lactation
was predicted with the MI model. This dis-
tribution was compared to the observed dis-
tribution shown in Table VIII. A 
χ
2
test
Table VI. 
χ
2
values calculated for each number of clinical mastitis per lactation and total 
χ
2
values
by initial production level, with the MI model.
Initial production level 
χ
2
χ
2
χ
2
χ
2
Total 
χ
2
for 0 
for 1 
for 2 
for 3 and more 
mastitis mastitis mastitis mastitis 
Less than 16 kg
0.125
1.333
0.000
0.000
1.458
16 to 20 kg
0.014
0.000
0.000
0.000
0.014
20 to 24 kg
0.281
0.308
0.200
0.000
0.789
More than 24 kg
0.381
1.455
0.250
0.500
2.586

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