Practical Statistics for Medical Research.

Walter, S. D., Altman, D. G.·1992·Biometrics

DOI 10.2307/2532320

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“Since an ill-designed experiment exposes the subjects to potentially harmful treatments without advancing knowledge.[1,2] Thus, a fundamental step in the design of clinical research is the computation of power and sample size.”
Background
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Authors: Walter, S. D., & Altman, D. G.
Venue: Biometrics
Publisher: JSTOR
Published: 1992-06
Volume: 48
Issue: 2
Pages: 656
ISSN: 0006-341X (ISSN-L)
DOI: 10.2307/2532320
OpenAlex: W2797597138
Cited by: 11,668
References: 0
FWCI: 183.68
Type: journal article
Language: en
Open access: closed

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.

Practical Statistics for Medical Research.

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