Cargando…

A Statistical Note on Analyzing and Interpreting Individual-Level Epidemiological Data

Detalles Bibliográficos
Autores principales:	Yoneoka, Daisuke, Saito, Eiko
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Japan Epidemiological Association 2015
Materias:	Statistical Note
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4375289/ https://www.ncbi.nlm.nih.gov/pubmed/25843286 http://dx.doi.org/10.2188/jea.JE20140265

Ejemplares similares

Statistical modeling to analyze factors affecting the middle-income trap in Indonesia using panel data regression
por: Ratnasari, Vita, et al.
Publicado: (2023)

Common pitfalls in statistical analysis: Clinical versus statistical significance
por: Ranganathan, Priya, et al.
Publicado: (2015)

Common pitfalls in statistical analysis: “P” values, statistical significance and confidence intervals
por: Ranganathan, Priya, et al.
Publicado: (2015)

Data transformation: a focus on the interpretation
por: Lee, Dong Kyu
Publicado: (2020)

Confidence intervals for the difference between the coefficients of variation of Weibull distributions for analyzing wind speed dispersion
por: La-ongkaew, Manussaya, et al.
Publicado: (2021)

Common pitfalls in statistical analysis: Measures of agreement
por: Ranganathan, Priya, et al.
Publicado: (2017)

Common pitfalls in statistical analysis: Logistic regression
por: Ranganathan, Priya, et al.
Publicado: (2017)

Common pitfalls in statistical analysis: Odds versus risk
por: Ranganathan, Priya, et al.
Publicado: (2015)

Common pitfalls in statistical analysis: The perils of multiple testing
por: Ranganathan, Priya, et al.
Publicado: (2016)

Common pitfalls in statistical analysis: The use of correlation techniques
por: Aggarwal, Rakesh, et al.
Publicado: (2016)

Common pitfalls in statistical analysis: Linear regression analysis
por: Aggarwal, Rakesh, et al.
Publicado: (2017)

Statistical data presentation
por: In, Junyong, et al.
Publicado: (2017)

Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect”
por: Ranganathan, Priya, et al.
Publicado: (2015)

Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis
por: Ranganathan, Priya, et al.
Publicado: (2016)

Common pitfalls in statistical analysis: Understanding the properties of diagnostic tests – Part 1
por: Ranganathan, Priya, et al.
Publicado: (2018)

Common pitfalls in statistical analysis: Absolute risk reduction, relative risk reduction, and number needed to treat
por: Ranganathan, Priya, et al.
Publicado: (2016)

Evaluation of instrumental variable method using Cox proportional hazard model in epidemiological studies
por: Uddin, Md. Jamal, et al.
Publicado: (2023)

A data integration framework for spatial interpolation of temperature observations using climate model data
por: Economou, Theo, et al.
Publicado: (2023)

Statistical data preparation: management of missing values and outliers
por: Kwak, Sang Kyu, et al.
Publicado: (2017)

Statistical notes for clinical researchers: effect size
por: Kim, Hae-Young
Publicado: (2015)

Statistical notes for clinical researchers: logistic regression
por: Kim, Hae-Young
Publicado: (2017)

Statistical notes for clinical researchers: covariance and correlation
por: Kim, Hae-Young
Publicado: (2018)

Statistical notes for clinical researchers: A one-way repeated measures ANOVA for data with repeated observations
por: Kim, Hae-Young
Publicado: (2015)

Statistics on the distribution of contracts and purchase orders by country for the LHC Project based on payments and outstanding commitments for the period 1 January 1995 to 31 March 2000 (including adjudications by the Finance Committee up to March 2000).
Publicado: (2000)

Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model
por: Nazir, Hafiza Mamona, et al.
Publicado: (2019)

Confidence intervals for ratio of means of delta-lognormal distributions based on left-censored data with application to rainfall data in Thailand
por: Thangjai, Warisa, et al.
Publicado: (2023)

Statistical notes for clinical researchers: Type I and type II errors in statistical decision
por: Kim, Hae-Young
Publicado: (2015)

Statistical notes for clinical researchers: the independent samples t-test
por: Kim, Hae-Young
Publicado: (2019)

Statistical notes for clinical researchers: analysis of covariance (ANCOVA)
por: Kim, Hae-Young
Publicado: (2018)

Comment “On the role of data, statistics and decisions in a pandemic” by Jahn et al.
por: Höhle, Michael
Publicado: (2022)

Nonparametric statistical tests for the continuous data: the basic concept and the practical use
por: Nahm, Francis Sahngun
Publicado: (2016)

An improved framework to predict river flow time series data
por: Nazir, Hafiza Mamona, et al.
Publicado: (2019)

Discussion on On the role of data, statistics and decisions in a pandemic: by Jahn et al (2022)
por: Berger, Ursula, et al.
Publicado: (2022)

Extending density surface models to include multiple and double-observer survey data
por: Miller, David L., et al.
Publicado: (2021)

Bayesian estimation for the mean of delta-gamma distributions with application to rainfall data in Thailand
por: Kaewprasert, Theerapong, et al.
Publicado: (2022)

Statistical notes for clinical researchers: post-hoc multiple comparisons
por: Kim, Hae-Young
Publicado: (2015)

Statistical notes for clinical researchers: assessing normal distribution (1)
por: Kim, Hae-Young
Publicado: (2012)

Statistical notes for clinical researchers: Definition and comparison of risk and odds
por: Kim, Hae-Young
Publicado: (2016)

Statistical notes for clinical researchers: Nonparametric statistical methods: 1. Nonparametric methods for comparing two groups
por: Kim, Hae-Young
Publicado: (2014)

Capturing asymmetry in COVID-19 counts using an improved skewness measure for time series data
por: Bapat, Sudeep R.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ekmsetr3p7bq5m186ml582rdsr