Cargando…

The Chi-square test of independence

The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level. Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data. Specifically, it does not...

Descripción completa

Detalles Bibliográficos
Autor principal:	McHugh, Mary L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Croatian Society of Medical Biochemistry and Laboratory Medicine 2013
Materias:	Lessons in Biostatistics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900058/ https://www.ncbi.nlm.nih.gov/pubmed/23894860 http://dx.doi.org/10.11613/BM.2013.018

Ejemplares similares

Interrater reliability: the kappa statistic
por: McHugh, Mary L.
Publicado: (2012)

On determining the most appropriate test cut-off value: the case of tests with continuous results
por: Habibzadeh, Farrokh, et al.
Publicado: (2016)

On determining the sensitivity and specificity of a new diagnostic test through comparing its results against a non-gold-standard test
por: Habibzadeh, Farrokh
Publicado: (2022)

The logic of equivalence testing and its use in laboratory medicine
por: Ialongo, Cristiano
Publicado: (2017)

Resolution of Students t-tests, ANOVA and analysis of variance components from intermediary data
por: Anders, Kallner
Publicado: (2017)

Bias in research
por: Šimundić, Ana-Maria
Publicado: (2013)

Practical recommendations for statistical analysis and data presentation in Biochemia Medica journal
por: Simundic, Ana-Maria
Publicado: (2012)

Analysis of censored data
por: Lucijanic, Marko, et al.
Publicado: (2012)

Observational and interventional study design types; an overview
por: Thiese, Matthew S.
Publicado: (2014)

The pits and falls of graphical presentation
por: Sperandei, Sandro
Publicado: (2014)

Understanding logistic regression analysis
por: Sperandei, Sandro
Publicado: (2014)

Bayes’ theorem, the ROC diagram and reference values: Definition and use in clinical diagnosis
por: Kallner, Anders
Publicado: (2017)

Expected long-term defect rate of analytical performance in the medical laboratory: Assured Sigma versus observed Sigma
por: Bayat, Hassan
Publicado: (2018)

Confidence interval for quantiles and percentiles
por: Ialongo, Cristiano
Publicado: (2018)

The likelihood ratio and its graphical representation
por: Habibzadeh, Farrokh, et al.
Publicado: (2019)

Survival analysis, more than meets the eye
por: Lucijanic, Marko, et al.
Publicado: (2017)

Confidence interval of percentiles in skewed distribution: The importance of the actual coverage probability in practical quality applications for laboratory medicine
por: Ialongo, Cristiano
Publicado: (2019)

Statistical distributions commonly used in measurement uncertainty in laboratory medicine
por: Coskun, Abdurrahman, et al.
Publicado: (2020)

The top-down approach to measurement uncertainty: which formula should we use in laboratory medicine?
por: Martinello, Flávia, et al.
Publicado: (2020)

The apparent prevalence, the true prevalence
por: Habibzadeh, Farrokh, et al.
Publicado: (2022)

Privacy-preserving chi-squared test of independence for small samples
por: Sei, Yuichi, et al.
Publicado: (2021)

USP: an independence test that improves on Pearson’s chi-squared and the G-test
por: Berrett, Thomas B., et al.
Publicado: (2021)

THE CHI SQUARE TEST: An Introduction
por: Ugoni, Antony, et al.
Publicado: (1995)

Intention-to-treat concept: A review
por: Gupta, Sandeep K.
Publicado: (2011)

Multiple treatment and indirect treatment comparisons: An overview of network meta-analysis
por: Bhatnagar, Nidhi, et al.
Publicado: (2014)

What to use to express the variability of data: Standard deviation or standard error of mean?
por: Barde, Mohini P., et al.
Publicado: (2012)

Strategic and Statistical Considerations on the QT Assessment of Volasertib
por: Wallenstein, Gudrun, et al.
Publicado: (2017)

The number of strata in propensity score stratification for a binary outcome
por: Neuhäuser, Markus, et al.
Publicado: (2016)

A guide to chi-squared testing
por: Greenwood, Priscilla E, et al.
Publicado: (1996)

Chi-squared goodness of fit tests with applications
por: Balakrishnan, N, et al.
Publicado: (2013)

Partial least squares regression and principal component analysis: similarity and differences between two popular variable reduction approaches
por: Liu, Chenyu, et al.
Publicado: (2022)

The chi-squared distribution
por: Lancaster, H. O. (Henry Oliver), 1913-
Publicado: (1969)

The chi-squared distribution
por: Lancaster, H O
Publicado: (1969)

Chi-squared goodness-of-fit tests for censored data
por: Nikulin, Mikhail S, et al.
Publicado: (2017)

Chi-squared data analysis and model testing for beginners
por: Witkov, Carey, et al.
Publicado: (2019)

On the power function of the chi-square goodness of fit test
por: Schorr, B
Publicado: (1973)

On the choice of the class intervals in the application of the chi-square test
por: Schorr, B
Publicado: (1974)

On the choice of the class intervals for the chi-square test of goodness of fit
por: Schorr, B
Publicado: (1974)

Statistical notes for clinical researchers: Chi-squared test and Fisher's exact test
por: Kim, Hae-Young
Publicado: (2017)

A Modified FlowDroid Based on Chi-Square Test of Permissions
por: Kang, Hongzhaoning, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_v7o1hbo3s7hhmopvf59rqjlbmj