logistic-exposure, constant-survival model 1 09:30 Friday, October 10, 2003 The GENMOD Procedure Model Information Data Set WORK.CHAT Distribution Binomial Link Function User Response Variable (Events) survive Response Variable (Trials) trials Observations Used 292 Number Of Events 266 Number Of Trials 292 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 291 199.8375 0.6867 Scaled Deviance 291 199.8375 0.6867 Pearson Chi-Square 291 530.8135 1.8241 Scaled Pearson X2 291 530.8135 1.8241 Log Likelihood -99.9187 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 2.8772 0.2016 2.4821 3.2723 203.72 <.0001 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. logistic-exposure, parasitism status main effect 2 09:30 Friday, October 10, 2003 The GENMOD Procedure Model Information Data Set WORK.CHAT Distribution Binomial Link Function User Response Variable (Events) survive Response Variable (Trials) trials Observations Used 292 Number Of Events 266 Number Of Trials 292 Class Level Information Class Levels Values parastat 2 0 1 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 290 198.8382 0.6856 Scaled Deviance 290 198.8382 0.6856 Pearson Chi-Square 290 521.3527 1.7978 Scaled Pearson X2 290 521.3527 1.7978 Log Likelihood -99.4191 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 3.0195 0.2560 2.5177 3.5214 139.07 <.0001 parastat 0 1 -0.4230 0.4160 -1.2384 0.3924 1.03 0.3093 parastat 1 0 0.0000 0.0000 0.0000 0.0000 . . Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. logistic-exposure, patch size main effect 3 09:30 Friday, October 10, 2003 The GENMOD Procedure Model Information Data Set WORK.CHAT Distribution Binomial Link Function User Response Variable (Events) survive Response Variable (Trials) trials Observations Used 292 Number Of Events 266 Number Of Trials 292 Class Level Information Class Levels Values patsize 2 large small Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 290 197.9363 0.6825 Scaled Deviance 290 197.9363 0.6825 Pearson Chi-Square 290 538.5800 1.8572 Scaled Pearson X2 290 538.5800 1.8572 Log Likelihood -98.9681 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 2.6024 0.2676 2.0778 3.1269 94.55 <.0001 patsize large 1 0.5583 0.4079 -0.2412 1.3578 1.87 0.1711 patsize small 0 0.0000 0.0000 0.0000 0.0000 . . Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. logistic-exposure, parastat and patsize main effect 4 09:30 Friday, October 10, 2003 The GENMOD Procedure Model Information Data Set WORK.CHAT Distribution Binomial Link Function User Response Variable (Events) survive Response Variable (Trials) trials Observations Used 292 Number Of Events 266 Number Of Trials 292 Class Level Information Class Levels Values parastat 2 0 1 patsize 2 large small Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 289 193.9987 0.6713 Scaled Deviance 289 193.9987 0.6713 Pearson Chi-Square 289 537.8609 1.8611 Scaled Pearson X2 289 537.8609 1.8611 Log Likelihood -96.9994 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 2.6973 0.2769 2.1546 3.2399 94.92 <.0001 parastat 0 1 -1.0350 0.5201 -2.0544 -0.0155 3.96 0.0466 parastat 1 0 0.0000 0.0000 0.0000 0.0000 . . patsize large 1 1.0844 0.5094 0.0861 2.0827 4.53 0.0333 patsize small 0 0.0000 0.0000 0.0000 0.0000 . . Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. logistic-exposure, main effects and interaction 5 09:30 Friday, October 10, 2003 The GENMOD Procedure Model Information Data Set WORK.CHAT Distribution Binomial Link Function User Response Variable (Events) survive Response Variable (Trials) trials Observations Used 292 Number Of Events 266 Number Of Trials 292 Class Level Information Class Levels Values parastat 2 0 1 patsize 2 large small Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 288 193.1707 0.6707 Scaled Deviance 288 193.1707 0.6707 Pearson Chi-Square 288 525.1036 1.8233 Scaled Pearson X2 288 525.1036 1.8233 Log Likelihood -96.5853 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Pr > ChiSq Intercept 1 2.7737 0.2976 2.1904 3.3569 86.87 <.0001 parastat 0 1 -1.5497 0.7223 -2.9653 -0.1341 4.60 0.0319 parastat 1 0 0.0000 0.0000 0.0000 0.0000 . . patsize large 1 0.7490 0.5882 -0.4038 1.9018 1.62 0.2029 patsize small 0 0.0000 0.0000 0.0000 0.0000 . . parastat*patsize 0 large 1 0.9010 0.9644 -0.9891 2.7912 0.87 0.3502 parastat*patsize 0 small 0 0.0000 0.0000 0.0000 0.0000 . . parastat*patsize 1 large 0 0.0000 0.0000 0.0000 0.0000 . . parastat*patsize 1 small 0 0.0000 0.0000 0.0000 0.0000 . . Scale 0 1.0000 0.0000 1.0000 1.0000 logistic-exposure, main effects and interaction 6 09:30 Friday, October 10, 2003 The GENMOD Procedure NOTE: The scale parameter was held fixed. logistic-exposure, nest_ht 7 09:30 Friday, October 10, 2003 The GENMOD Procedure Model Information Data Set WORK.CHAT Distribution Binomial Link Function User Response Variable (Events) survive Response Variable (Trials) trials Observations Used 292 Number Of Events 266 Number Of Trials 292 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 290 199.8040 0.6890 Scaled Deviance 290 199.8040 0.6890 Pearson Chi-Square 290 526.6914 1.8162 Scaled Pearson X2 290 526.6914 1.8162 Log Likelihood -99.9020 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 2.9775 0.5827 1.8354 4.1195 26.11 <.0001 nest_ht 1 -0.1516 0.8222 -1.7631 1.4598 0.03 0.8537 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. logistic-exposure, main effects and nest-height 8 09:30 Friday, October 10, 2003 The GENMOD Procedure Model Information Data Set WORK.CHAT Distribution Binomial Link Function User Response Variable (Events) survive Response Variable (Trials) trials Observations Used 292 Number Of Events 266 Number Of Trials 292 Class Level Information Class Levels Values parastat 2 0 1 patsize 2 large small Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 288 193.9273 0.6734 Scaled Deviance 288 193.9273 0.6734 Pearson Chi-Square 288 529.7840 1.8395 Scaled Pearson X2 288 529.7840 1.8395 Log Likelihood -96.9637 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 2.8331 0.5784 1.6995 3.9666 23.99 <.0001 parastat 0 1 -1.0206 0.5233 -2.0462 0.0050 3.80 0.0511 parastat 1 0 0.0000 0.0000 0.0000 0.0000 . . patsize large 1 1.1038 0.5150 0.0943 2.1132 4.59 0.0321 patsize small 0 0.0000 0.0000 0.0000 0.0000 . . nest_ht 1 -0.2268 0.8368 -1.8669 1.4132 0.07 0.7863 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. logistic-exposure, main effects, interaction, and nest-height 9 09:30 Friday, October 10, 2003 The GENMOD Procedure Model Information Data Set WORK.CHAT Distribution Binomial Link Function User Response Variable (Events) survive Response Variable (Trials) trials Observations Used 292 Number Of Events 266 Number Of Trials 292 Class Level Information Class Levels Values parastat 2 0 1 patsize 2 large small Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 287 193.0708 0.6727 Scaled Deviance 287 193.0708 0.6727 Pearson Chi-Square 287 516.2626 1.7988 Scaled Pearson X2 287 516.2626 1.7988 Log Likelihood -96.5354 Algorithm converged. Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Pr > ChiSq Intercept 1 2.9376 0.5981 1.7654 4.1099 24.12 <.0001 parastat 0 1 -1.5430 0.7225 -2.9590 -0.1270 4.56 0.0327 parastat 1 0 0.0000 0.0000 0.0000 0.0000 . . patsize large 1 0.7656 0.5902 -0.3912 1.9223 1.68 0.1946 patsize small 0 0.0000 0.0000 0.0000 0.0000 . . parastat*patsize 0 large 1 0.9185 0.9663 -0.9754 2.8124 0.90 0.3419 parastat*patsize 0 small 0 0.0000 0.0000 0.0000 0.0000 . . parastat*patsize 1 large 0 0.0000 0.0000 0.0000 0.0000 . . parastat*patsize 1 small 0 0.0000 0.0000 0.0000 0.0000 . . nest_ht 1 -0.2710 0.8428 -1.9228 1.3808 0.10 0.7478 logistic-exposure, main effects, interaction, and nest-height 10 09:30 Friday, October 10, 2003 The GENMOD Procedure Analysis Of Parameter Estimates Standard Wald 95% Chi- Parameter DF Estimate Error Confidence Limits Square Pr > ChiSq Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. Delta values and Akaike weights based on aicc 11 09:30 Friday, October 10, 2003 Obs model loglike 1 parastat and patsize main effect -96.9994 2 main effects and interaction -96.5853 3 constant survival -99.9187 4 patsize main effect -98.9681 5 main effects and nest-height -96.9637 6 parastat main effect -99.4191 7 main effects + interaction + nest-height -96.5354 8 nest height only -99.9020 delta_ Obs deviance n k aic aicc aicc w_Akaike 1 193.999 485 3 199.999 200.049 0.00000 0.30149 2 193.171 485 4 201.171 201.254 1.20537 0.16502 3 199.837 485 1 201.837 201.846 1.79712 0.12275 4 197.936 485 2 201.936 201.961 1.91256 0.11587 5 193.927 485 4 201.927 202.011 1.96202 0.11304 6 198.838 485 2 202.838 202.863 2.81449 0.07381 7 193.071 485 5 203.071 203.196 3.14740 0.06249 8 199.804 485 2 203.804 203.829 3.78024 0.04554 Model-averaged parameter estimates along with unconditional standard errors and variances 12 09:30 Friday, October 10, 2003 estimate_ Unconditional Unconditional_ Obs parameter level1 level2 model_avgd no_models SE Variance 1 Intercept 2.7879 8 0.35928 0.12908 2 nest_ht -0.0495 8 0.22742 0.05172 3 parastat 0 -0.8108 8 0.74164 0.55003 4 parastat 1 0.0000 8 0.00000 0.00000 5 parastat*patsize 0 large 0.2061 8 0.43037 0.18522 6 parastat*patsize 0 small 0.0000 8 0.00000 0.00000 7 parastat*patsize 1 large 0.0000 8 0.00000 0.00000 8 parastat*patsize 1 small 0.0000 8 0.00000 0.00000 9 patsize large 0.6878 8 0.62035 0.38484 10 patsize small 0.0000 8 0.00000 0.00000