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Furthermore, there are inherent risks on the part of some health care research personnel, who face undue pressure to perform analyses that do not comply with applicable interpretation of our public policy. This criticism should be rectified. Also, the effect size of surveys can vary enormously depending upon the sample size and the information involved. Because Health Care Data is Public, there is an inherent bias (policymakers and other health care and civil service officials may be ill-informed about estimates of the effect sizes resulting from a sample) that may bias their testing of a respondent that is not comparable in terms of magnitude and findings to others surveyed. Therefore, such conduct is not currently permitted.
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It is to be distinguished from other similar surveys done by adults. Every such survey is subject to sampling constraints regarding demographic characteristics, such as age, when the general population is asked to complete the health procedure of the survey (e.g., ethnicity and sex). This is especially true for health care surveys, particularly with the original source to demographics (e.
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g., Hispanic, Native American