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Summary of diversity features, land cost metrics, conservation targets and ca...
PCT = Pacific Carbon Trust; StC = Carbon Storage * CC; SeqC = Carbon. Sequestration potential * CC; TotC = StC+SeqC. -
Multiplier estimates of MSM prevalence in China cities [22]–[33].
*Spots including bars, public bathhouses, parks, public toilet and internet bar. -
Model selection results.
The difference between the corrected Akaike information criterion (ΔAICc) was calculated for models fit to log-log transformed kC versus M data (from Grady et al.) or kD versus... -
r37980778c78--ff4511a388fa9b48f2c2444f3802cc39
Conservation initiatives to protect and restore valued species and communities in human-dominated landscapes face huge challenges linked to the cost of acquiring habitat. We ask... -
Model parameters.
aSpecified with reference to Cook [30] and Waage et al. [36] using distributions defined in Biosecurity Australia [31]; b Derived from Sapoukhina et al. [37]; c ABS [6], Note... -
The aggregation indices (R) for the vegetation patterns.
The aggregation indices (R) for the vegetation patterns. -
r37980778c78--2307444dd036d25346eb053fcf3f28af
Empty cells are goals not relevant to that region. Goals (two-letter codes) and sub-goals (three-letter codes) are reported separately; LE, SP and BD goals are the average of... -
Environmental variables
Values of the physicochemical variables and the biotic indices -IBMWP (Iberian Biological Monitoring Working Party) and IMMi-T (Iberian Mediterranean Multimetric Index)- used to... -
Comparison of all species and high-impact species by sector.
Only predictors (Table 1) that differed between sectors (see text) are included. Statistical analysis was only possible for environmental and pastoral weeds, and only for a... -
Result of the conditional logit estimation.
The preference coefficients of the β-vector are estimated from the logit model. The WTP estimates are obtained as the ratio of the β of the attribute in question relative to the... -
Best models predicting high-impact species using a statistical learning appro...
Model weighting assumption was tested by comparing true positives and false negatives equally (w = 0.5) (comparable to Table 2) and weighting true positives more heavily than... -
r37980778c78--ecce1f95266cc49e9658af7a4fdd91cd
Where sub-goals are shown, the respective goal is indicated in brackets (for acronyms see Table 1). -
Principal Component Analysis
Copyright information:Taken from "Combined histomorphometric and gene-expression profiling applied to toxicology"Genome Biology 2003;4(5):R32-R32.Published online 30 Apr... -
Estimating the Sizes of Populations at High Risk for HIV: A Comparison Study
ObjectivesBehavioral interventions are effective strategies for HIV/AIDS prevention and control. However, implementation of such strategies relies heavily on the accurate... -
Best models predicting spread rate, model performance measured by AICc.
Model performance was measured by AICc, with log(spr.rate) as the response. For all models the random effect is (1|genus). ΔAICc is the difference in AICc between the top ranked... -
Summary of the meta-analysis.
Q = Q-test for heterogeneity (including P value); ES = effect size point estimate; SE = standard error; Z = two-tail Z-test; 95%CI Lower = lower confidence interval...
