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An Introduction to Medical Statistics.
Abstract
The purpose of this little book is to instruct young medical students, mainly quite devoid of mathematical knowledge or interest, in the meaning and technic of the simplest operations of statistical analysis, it being premised that only a short time can be spared for this part of their training. The result is an excellent primer of statistical technic. The reader is expressly warned that mastering this book will not make him a statistician. What it will do is to give him a glimpse of what vital statistics are; how to tabulate his data; how to translate them into effective and correct graphic form; how to calculate rates of mortality and other vital events, and then to correct these rates so that the more obvious fallacies which lurk about statistics of living things may be avoided; how to calculate averages, measures of variation or dispersion, correlations, regressions, and probable errors. The
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Cited by
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Understanding bland altman analysis
Giavarina, D. (2015) · Biochemia Medica · doi:10.11613/bm.2015.015 · Cited by 4,022
Photoplethysmography and its application in clinical physiological measurement
Allen, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/3/r01 · Cited by 3,967
Determination of subcutaneous tumor size in athymic (nude) mice
Tomayko, M. M., & Reynolds, C. P. (1989) · Cancer Chemotherapy and Pharmacology · doi:10.1007/bf00300234 · Cited by 1,830
Grothues, F., Smith, G. C., Moon, J. C. C., Bellenger, N. G., Collins, P., Klein, H. U., & Pennell, D. J. (2002) · The American Journal of Cardiology · doi:10.1016/s0002-9149(02)02381-0 · Cited by 1,267
Metadata
- Venue
- Journal of the American Medical Association
- Publisher
- American Medical Association (AMA)
- Published
- 1931-10-10
- Volume
- 97
- Issue
- 15
- Pages
- 1099
- ISSN
- 0002-9955 (ISSN-L)
- OpenAlex
- W2040716668
- Cited by
- 2,084
- References
- 0
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
