<p>Model weights shown here are re-normalized for the set of 37 top-ranked models shown. a = commercial; b = local roads; c = impervious; d = dense urban; e = apartments and condominiums; f = heavily used roads; g = light to medium urban; h = forest; i = residential; j = grass, crops and/or shrubs; and, k = industrial.</p
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p>Top five models based on Akaike’s Information Criterion (corrected for small sample size) in asse...
<p>A: Cohort-sequential model estimates for morbidity. B: Hockey stick regression model estimates fo...
<p>Estimate: estimated hazard ratios for the factors and estimated values for the model statistics (...
<p>Estimate: estimated hazard ratios for the factors and estimated values for the model statistics (...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p>Estimate: estimated hazard ratios for the factors and estimated values for the model statistics (...
<p>Estimate: estimate hazard ratios for the factors and estimated values for the model statistics (M...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
Background: Model averaging combines forecasts obtained from a range of models, and it often produce...
<p><i>Notes</i>. 95% confidence intervals in brackets.</p><p>*<i>p</i> < 0.05</p><p>**<i>p</i> < 0.0...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p>MaxM: Maximum Model: includes significant independent variables in the univariate analysis with A...
Results of regression model predicting mortality, with neighborhood income measures (N = 90,368).</p
<p>Notes: <i>c</i> - the generalized scale parameter of age dimension which characterizes the age of...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p>Top five models based on Akaike’s Information Criterion (corrected for small sample size) in asse...
<p>A: Cohort-sequential model estimates for morbidity. B: Hockey stick regression model estimates fo...
<p>Estimate: estimated hazard ratios for the factors and estimated values for the model statistics (...
<p>Estimate: estimated hazard ratios for the factors and estimated values for the model statistics (...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p>Estimate: estimated hazard ratios for the factors and estimated values for the model statistics (...
<p>Estimate: estimate hazard ratios for the factors and estimated values for the model statistics (M...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
Background: Model averaging combines forecasts obtained from a range of models, and it often produce...
<p><i>Notes</i>. 95% confidence intervals in brackets.</p><p>*<i>p</i> < 0.05</p><p>**<i>p</i> < 0.0...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p>MaxM: Maximum Model: includes significant independent variables in the univariate analysis with A...
Results of regression model predicting mortality, with neighborhood income measures (N = 90,368).</p
<p>Notes: <i>c</i> - the generalized scale parameter of age dimension which characterizes the age of...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p>Top five models based on Akaike’s Information Criterion (corrected for small sample size) in asse...
<p>A: Cohort-sequential model estimates for morbidity. B: Hockey stick regression model estimates fo...