Abstract
The results obtained in a particular study may or may not reflect those of the larger underlying population. Statistical inference is a mathematical process used to relate findings obtained from a sample (study) to those in the population. Two characteristics that influence how closely sample results are likely to reflect those in the population are sample size and variance. A larger sample size and a smaller variance increase the likelihood that the results obtained in a given study will be indicative of those in the underlying population. P-values and 95% confidence intervals are common measures of statistical inference.
Keywords
- Confidence Interval
- Mathematical Processing
- Acute Symptomatic Urinary Tract
- Colony Counts
- Electronic Prescribing
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Kestenbaum, B. (2019). Statistical Inference. In: Epidemiology and Biostatistics. Springer, Cham. https://doi.org/10.1007/978-3-319-97433-0_13
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DOI: https://doi.org/10.1007/978-3-319-97433-0_13
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