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[[Category:Medical statistics]] {{statistics-stub}} ...

In [[statistics]], '''Cohen's ''h''''', popularized by [[Jacob Cohen (statistician)|Jacob C * [[Estimation statistics]] ...

[[Category:Medical statistics]] ...

{{Short description|Mathematical index used in Bayesian statistics}} ...yes/#probability-of-direction |website=Georgia State University - Bayesian statistics course |access-date=7 December 2021 |language=en-us}}</ref> ...

* Limited adoption beyond Chinese medical literature [[:Category:Medical statistics]] ...

{{Short description|Design of experiments in statistics}} ...s related to the [[Dose–response relationship|dose-response model]] in the medical literature. ...

{{Short description|Medical statistical method}} '''Passing–Bablok regression''' is a method from [[robust statistics]] for [[nonparametric regression]] analysis suitable for method comparison ...

...ponse and/or to several groups are commonly called Cochran–Mantel–Haenszel statistics.<ref>{{cite journal | author = Nathan Mantel | title = Chi-Square Tests wit ...rs. The CMH test is a generalization of the [[McNemar test]] as their test statistics are identical when each stratum shows a pair.<ref>{{cite book |last=Agresti ...

{{Short description|Design of experiments in statistics}} ...possible treatments that are not [[mutually exclusive]], four [[indicator (statistics)|indicator]] variables can fully specify the different treatment options. < ...

'''Bootstrapping populations''' in [[statistics]] and [[mathematics]] starts with a [[Statistical sample|sample]] <math>\{x ...rs, we denote with a vector <math>\boldsymbol\theta</math>, a [[Parametric statistics|parametric inference]] problem consists of computing suitable values – call ...

...w theory on the measurement of association between two binary variables in medical sciences: association can be expressed in a fraction (per unum, percentage, [[Category:Summary statistics for contingency tables]] ...

In [[medical test]]ing with [[binary classification]], the '''diagnostic odds ratio''' ( ...like accuracy) and is presented as an [[odds ratio]], which is familiar to medical practitioners.{{cn|date=August 2023}} ...

...ts or diseases. Recurrent events are often analyzed in social sciences and medical studies, for example recurring infections, depressions or cancer recurrence ...-0-387-69810-6 |title=The Statistical Analysis of Recurrent Events |series=Statistics for Biology and Health |date=2007 |language=en |doi=10.1007/978-0-387-69810 ...

In [[statistics]], when performing [[multiple comparisons]], a '''false positive ratio''' ( When performing [[multiple comparisons]] in a [[statistics|statistical]] framework such as above, the '''false positive ratio''' (also ...

...ing-stan-in-marketing-research/554 |accessdate=19 March 2019}}</ref> and [[medical imaging]].<ref name=pmid27279676>{{cite journal | last1=Gordon | first1=GSD ...ayesian inference and optimization], Journal of Educational and Behavioral Statistics. ...

...pling: Efficient subsampling in imbalanced data sets|journal=The Annals of Statistics|date=2014|volume=42|issue=5|pages=1693–1724|doi=10.1214/14-aos1220|pmid=254 ...certain patterns does not always imply their irrelevance. For example, in medical studies of rare diseases, the small number of infected patients (cases) con ...

...arles Kenneth Tweedie''' (30 September 1919 – 14 March 1996) was a British medical physicist and statistician from the [[University of Liverpool]]. He was kno ...r in [[radiation physics]], but his primary interest was in [[mathematical statistics]] where his accomplishments far surpassed his academic postings. ...

In [[statistics]], the '''grouped Dirichlet distribution''' (GDD) is a multivariate genera ...use these distributions in the context of three different applications in medical science. ...

...on curve analysis: a novel method for evaluating prediction models|journal=Medical Decision Making|volume=26|issue=6|pages=565–574|doi=10.1177/0272989X0629536 [[Category:Medical statistics]] ...

[[Category:Medical statistics]] ...