126) eveloping these models using ground-truth data-sets. |
127) rt-type questionnaire was used to collect data. |
128) ient in their care based on all available data. |
129) d EDPs fit quite well to the experimental data. |
130) city of flow (v) and resistive index (RI) data. |
131) ibcage were compared against experimental data. |
132) ated monitoring of influenza surveillance data. |
133) ctors, which was consistent with in vitro data. |
134) mbination of both at most of the recorded data. |
135) icable to different kinds of surveillance data. |
136) e model have been calibrated over average data. |
137) ing to how well they are supported by the data. |
138) used, accounting for the clustered survey data. |
139) gistic regression was used to analyze the data. |
140) vel modelling was employed to analyse the data. |
141) nal age, using three sets of US reference data. |
142) used to analyse the interactively derived data. |
143) and users of surveillance and evaluation data. |
144) fitted hoop stress plotted against strain data. |
145) on performed on available eye impact test data. |
146) ate pattern analysis method from the fMRI data. |
147) y different methods for handling the same data. |
148) lysis from the Korean Welfare Panel Study data. |
149) with the standard range of environmental data. |
150) s the amount and quality of the available data. |
151) ine covariate imbalance in clinical trial data. |
152) ge 3) based on duodenal or jejunal biopsy data. |
153) Bangladesh Demographic and Health Survey data. |
154) Bangladesh Demographic and Health Survey data. |
155) Bangladesh Demographic and Health Survey data. |
156) timized with respect to observed clinical data. |
157) and a bias in the selection of empirical data. |
158) Data on a total of 363 cases were collecte |
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