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Deaths of snails vs exposure by species

Deaths of snails vs exposure by species. Deaths of snails vs exposure by temperature. Deaths of snails vs exposure by relative humidity. SAS code for deaths of snails vs species, exposure temperature and relative humidity. proc genmod data=linear.lab13_1;

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Deaths of snails vs exposure by species

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  1. Deaths of snails vs exposure by species

  2. Deaths of snails vs exposure by temperature

  3. Deaths of snails vs exposure by relative humidity

  4. SAS code for deaths of snails vs species, exposure temperature and relative humidity proc genmod data=linear.lab13_1; class species exposure temp rel_humidity; modeldeaths/total=species exposure temp rel_humidity/dist=binomial; run; • When each observation in the input data set contains the number of events (for example, successes) and the number of trials from a set of binomial trials, use the events/trials syntax. • This form is applicable only to summarized binomial response data.

  5. SAS code for deaths of snails vs species, exposure temperature and relative humidity • Analysis Of Parameter Estimates • Standard Wald 95% Confidence Chi- • Parameter DF Estimate Error Limits Square Pr > ChiSq • Intercept 1 -0.3840 0.2224 -0.8199 0.0519 2.98 0.0842 • Exposure 1 1 -26.6454 32246.14 -63227.9 63174.62 0.00 0.9993 • Exposure 2 1 -3.1841 0.2990 -3.7702 -2.5979 113.37 <.0001 • Exposure 3 1 -0.9451 0.1635 -1.2656 -0.6246 33.40 <.0001 • Exposure 4 0 0.0000 0.0000 0.0000 0.0000 . . • Species A 1 -1.2895 0.1618 -1.6066 -0.9724 63.51 <.0001 • Species B 0 0.0000 0.0000 0.0000 0.0000 . . • Temp 10 1 -0.9444 0.1942 -1.3250 -0.5638 23.65 <.0001 • Temp 15 1 -0.3688 0.1798 -0.7212 -0.0163 4.21 0.0403 • Temp 20 0 0.0000 0.0000 0.0000 0.0000 . . • Rel_humidity 60 1 1.5872 0.2290 1.1383 2.0361 48.03 <.0001 • Rel_humidity 65.8 1 0.9732 0.2335 0.5155 1.4310 17.37 <.0001 • Rel_humidity 70.5 1 0.3311 0.2464 -0.1518 0.8141 1.81 0.1790 • Rel_humidity 75.8 0 0.0000 0.0000 0.0000 0.0000 . . • Scale 0 1.0000 0.0000 1.0000 1.0000

  6. Interpretation of SAS output for the study of deathsamongsnails in relation to species, exposure, temperature and relative humidity. • The model parameters represent estimates of • The presence of interaction effects can be tested by computing

  7. Survival probability vs age, sex and passenger class Missing values? PClass_ Sex_ Rel. frequency N1 1st female 0.937063 143 1st male 0.329609 179 2nd female 0.878505 107 2nd male 0.144509 173 3rd female 0.377358 212 3rd male 0.116232 499

  8. Relative frequency of myocardial infarctionvs coffee and cigarrette consumption

  9. Relative frequency of myocardial infarctionvs coffee and cigarrette consumption Main effects? Interaction effects?

  10. SAS code for the study of myocardial infarctionvs coffee and cigarrette consumption proc genmod data=linear.lab14_1; classcoffee cigarrettes; modelcases/total = coffeecigarrettes/dist=binomial; run; • When each observation in the input data set contains the number of events (for example, successes) and the number of trials from a set of binomial trials, use the events/trials syntax. • This form is applicable only to summarized binomial response data.

  11. SAS code for the study of myocardial infarctionvs coffee and cigarrette consumption Quantitative inputs (scores) Qualitative inputs .

  12. Rail accidents Observed data may be regarded as rates (number of accidents per mile)

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