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.
The projected attractiveness of directly observed therapy was insensitive to plausible changes in most model variables, including the probabilities of vertical HIV transmission, prematurity, and emergency and elective Caesarean section; obstetrical costs; and future costs associated with HIV infection and prematurity.
Sensitivity analyses were performed to determine the effects of model variables, including age, glucose level, manually coded meter compared with CONTOUR® TS, discount rates for costs and effects, and price of test strips, on the cost-effectiveness and cost-utility results from the primary analysis.
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.
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.
Additional Markov model variables include patient demographics (sex, age, and time of diagnosis of diabetes) and metabolic characteristics (blood pressure, lipid, and HbA1c levels).
Their model considers multiple variables including: climate records, population density, irrigation and industry. .
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.
The most precise model had four independent variables including age.
