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For the selection of a sample of users within health care facilities, a stratified probability procedure was used according to the place in which the user received the services.
The baseline data were derived from the 1984 National Alcohol Survey, an in-person survey in which respondents were selected through a multistage area probability procedure with a sampling frame including households in the 48 contiguous US states.
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A flowchart describing the probability estimation procedure using SVM and the sigmoid fitting function is shown in Figure 1.
The derivation follows the derived probability distribution procedure and incorporates a catchment rainfall-runoff model with approximating shapes for individual runoff event hydrographs.
Once again, we see that implementing a technique of Inverse Probability Weighting procedure yields the best performance in terms of reducing the bias.
We use administrative data from the CPPD program and obtain our estimates with propensity score matching estimators (kernel and local linear), an inverse probability weighting procedure and a genetic matching estimator.
Each monthly cycle uses a two-stage probability sampling procedure.
It was proposed a probability sampling procedure, with poly-staged, stratified cluster sampling.
Respondents were identified using a stratified, three-stage probability sampling procedure.
The probability of procedure use related to diabetic complications was obtained from four medical centers in Poland.
Differences in amplitude between stimuli in the filtered frequency band were assessed with the statistical probability mapping procedure described above.
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