(A) Aspect, (B) Elevation, (C) Slope, (D) Land Cover, (E) Soil Type, (F) Waterways / Rivers, (G) Roads, (H) Settlements / Cattle Posts, and (I) Inundated Area.</p
<p>Red isolines indicate combinations of the two covariates predicting a particular (<i>ψ</i>) level...
Forest plot for Area Under the Curves (AUCs) of studies evaluated MALAT1 lncRNA using random effect ...
<p>Forest plots of effect estimates for cases and controls of 9 individual studies stratified by typ...
Landscape covariates (trap type, elevation, percent stream/wetland, percent hardwood forest, percent...
Forest plots of different patency criteria to compare the patency rate (random-effects model was use...
Summary statistics for forest inventory variables used in randomForest analysis from P2-plus and P2 ...
Proportion of land cover in each community classified by a) approach 1, b) approach 2, c) approach 3...
<p>Final list of landscape-level habitat covariates modeled on probability of occupancy and coloniza...
Histograms of the covariates used in the random forest analysis, illustrating the distribution of va...
Forest plot for Area Under the Curves (AUCs) of included studies using random effect model with inve...
The use of random parameter models in forestry has been proposed as one method of incorporating diff...
<p>Forest plots of the summary z value with corresponding 95% CIs for the correlation between PBDEs ...
The file ‘program covariates.csv’ includes the percentage of nine habitat types (water, development,...
<p>Forest plot showing the combined relative HR from the random-effects model for overall survival b...
<p>Forest plot showing the combined relative HR from the random-effects model for overall survival b...
<p>Red isolines indicate combinations of the two covariates predicting a particular (<i>ψ</i>) level...
Forest plot for Area Under the Curves (AUCs) of studies evaluated MALAT1 lncRNA using random effect ...
<p>Forest plots of effect estimates for cases and controls of 9 individual studies stratified by typ...
Landscape covariates (trap type, elevation, percent stream/wetland, percent hardwood forest, percent...
Forest plots of different patency criteria to compare the patency rate (random-effects model was use...
Summary statistics for forest inventory variables used in randomForest analysis from P2-plus and P2 ...
Proportion of land cover in each community classified by a) approach 1, b) approach 2, c) approach 3...
<p>Final list of landscape-level habitat covariates modeled on probability of occupancy and coloniza...
Histograms of the covariates used in the random forest analysis, illustrating the distribution of va...
Forest plot for Area Under the Curves (AUCs) of included studies using random effect model with inve...
The use of random parameter models in forestry has been proposed as one method of incorporating diff...
<p>Forest plots of the summary z value with corresponding 95% CIs for the correlation between PBDEs ...
The file ‘program covariates.csv’ includes the percentage of nine habitat types (water, development,...
<p>Forest plot showing the combined relative HR from the random-effects model for overall survival b...
<p>Forest plot showing the combined relative HR from the random-effects model for overall survival b...
<p>Red isolines indicate combinations of the two covariates predicting a particular (<i>ψ</i>) level...
Forest plot for Area Under the Curves (AUCs) of studies evaluated MALAT1 lncRNA using random effect ...
<p>Forest plots of effect estimates for cases and controls of 9 individual studies stratified by typ...
DOI
Add to ORKG