The model variables include the hydraulic resistances associated with vein axial and radial transport, as well as with water movement through the mesophyll and the leaf surface.The four parameters included in the model are sufficient to define a hydraulic functional design space that includes all single-veined leaf shapes found in nature, including scale-, and- aneedle-likeike morphologies.
Additional Markov model variables include patient demographics (sex, age, and time of diagnosis of diabetes) and metabolic characteristics (blood pressure, lipid, and HbA1c levels).
Various model variables, including biomass of blade and blade length, were parameterized for rice based on data derived from an outdoor experiment with rice cv.
Model variables included age, sex, race, duration of symptoms, respiratory infection triggers, respiratory rate, oxygen saturation on room air, and indicators for the two time periods.
In each model, variables included three age categories (18 29, 40 49, 50+), sex (male = 1, female = 0), and 13 time-on-ART dummy variables.
In our model, independent variables include dozens of enzymes and environmental variables that are considered constant and at their normal value under physiological conditions (Supplement Table S2).
Prior to the estimation of the Tobit and Heckman two-step models the variables included in the models were tested for multi-collinearity using the correlation coefficient.
For all models, independent variables included probability, reward, expected value (reward magnitude X probability), trait anhedonia (Chapman) and gender.
a) Cox proportional hazard regression model, Variables adjusted included sex, race, Performance status, histology.
Their model considers multiple variables including: climate records, population density, irrigation and industry. .
Model 2: All variables included.
