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For model fit, the library survey function of R version 2.11.1 software was used.
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Data from the two surveys were compared using the survey analysis functions of the statistical software Stata, version 13, enabling us to account for the weighting, clustering and stratification of the Natsal-3 data.
Estimates were made using the "svy" (survey commands) functions of the STATA program, which enabled us to incorporate the sampling design and weights into all of our statistical calculations (descriptive OR, logistic regression).
The estimates were made using the "svy" (survey command) functions of the STATA program, which allowed us to incorporate the study design and weights in all our statistical calculations.
Appendix A: Fig. 7 reports the (unconditional) fractional-polynomial prediction of the hourly wage for the individuals that work at the time of the survey as a function of our measure of technical change.
The required sample size in a survey is a function of the expected prevalence, the diagnostic test performance and the required precision.
Here we examine camera-trap survey costs as a function of the number of SUs, survey duration and camera-traps per SU, linking costs to precision in occupancy estimation.
Additionally, the responses to the survey questions are a function of the person completing the survey.
In addition, the FDG-PET technique allowed for a separate survey of the contractile function of the MI, remote and border segments.
While the potential for reduction in survey effort is a function of environmental variability, the strength of this approach lies in the ability to establish in-stride the minimum effort required for a fidelity threshold without a first-guess field or a priori knowledge.
This was down from a bit over two hours per day in a 2005 survey - perhaps a function of the slowing economy and lax labor market - but 1.7 hours is still a long time.
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