Search results - Biochemia Medica

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Introducing prediction intervals for sample means

Molly E. Contini, Jeffrey R. Spence, David J. Stanley

Lessons in biostatistics, Volume 34, Articles ahead of print

KEYWORDS: prediction intervals; biostatistics; education; research methodology

https://doi.org/10.11613/BM.2024.030101

Adapting power calculations to include a superiority margin: what are the implications?

Samuel Bishara

Lessons in biostatistics, Volume 34, February, Issue 1

KEYWORDS: biostatistics; power calculation; super-superiority margin; clinical significance; hypothesis testing

https://doi.org/10.11613/BM.2024.010101

On determining the sensitivity and specificity of a new diagnostic test through comparing its results against a non-gold-standard test

Farrokh Habibzadeh

Lessons in biostatistics, Volume 33, February, Issue 1

KEYWORDS: biostatistics; diagnostic tests; prevalence; sensitivity and specificity

https://doi.org/10.11613/BM.2023.010101

Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies

Ceyhan Ceran Serdar, Murat Cihan, Doğan Yücel, Muhittin A Serdar

Review, Volume 31, February, Issue 1

KEYWORDS: biostatistics; effect size; power analysis; sample size

https://doi.org/10.11613/BM.2021.010502

Estimation of the measurement uncertainty and practical suggestion for the description of the metrological traceability in clinical laboratories

Raúl Rigo-Bonnin, Noelia Díaz-Troyano, Laura García-Tejada, Albert Marcè-Galindo, Míriam Valbuena-Asensio, Francesca Canalias

Review, Volume 31, February, Issue 1

KEYWORDS: biostatistics; quality control; standardization; traceability; uncertainty

https://doi.org/10.11613/BM.2021.010501

Confidence interval of percentiles in skewed distribution: The importance of the actual coverage probability in practical quality applications for laboratory medicine

Cristiano Ialongo

Lessons in Biostatistics, Volume 29, October, Issue 3

KEYWORDS: biostatistics; confidence intervals; statistical data analysis; health care quality indicators

https://doi.org/10.11613/BM.2019.030101

Confidence interval for quantiles and percentiles

Cristiano Ialongo

Lessons in Biostatistics, Volume 29, February, Issue 1

KEYWORDS: biostatistics; statistical methods; confidence intervals; extra-analytical phase

https://doi.org/10.11613/BM.2019.010101

The logic of equivalence testing and its use in laboratory medicine

Cristiano Ialongo

Lessons in biostatistics, Volume 27, February, Issue 1

KEYWORDS: biostatistics; statistical data analysis; methodological studies

https://doi.org/10.11613/BM.2017.001

Demystifying EQA statistics and reports

Wim Coucke, Mohamed Rida Soumali

Special Issue: External Quality Assessment in Laboratory Medicine - Review, Volume 27, February, Issue 1

KEYWORDS: external quality assessment; statistics; Q-score; Z-score

https://doi.org/10.11613/BM.2017.006

Resolution of Students t-tests, ANOVA and analysis of variance components from intermediary data

Kallner Anders

Lessons in biostatistics, Volume 27, June, Issue 2

KEYWORDS: analysis of variance; biostatistics; measurement comparisons

https://doi.org/10.11613/BM.2017.026

Survival analysis, more than meets the eye

Marko Lucijanic, Marko Skelin, Tomo Lucijanic

Lessons in biostatistics, Volume 27, February, Issue 1

KEYWORDS: statistics; clinical trial; survival analysis; primary myelofibrosis; software

https://doi.org/10.11613/BM.2017.002

Understanding the effect size and its measures

Cristiano Ialongo

Review Article, Volume 26, June, Issue 2

KEYWORDS: biostatistics; statistical data analysis; statistical data interpretation

https://doi.org/10.11613/BM.2016.015

The misuse and abuse of statistics in biomedical research

Matthew S. Thiese, Zachary C. Arnold, Skyler D. Walker

Lessons in biostatistics, Volume 25, February, Issue 1

KEYWORDS: a priori; analytical plan; statistical methods; disclosure; transparency; biostatistics

https://doi.org/10.11613/BM.2015.001

Resampling methods in Microsoft Excel® for estimating reference intervals

Elvar Theodorsson

Lessons in biostatistics, Volume 25, October, Issue 3

KEYWORDS: reference interval; resampling method; Microsoft Excel; bootstrap method; biostatistics

https://doi.org/10.11613/BM.2015.031

The pits and falls of graphical presentation

Sandro Sperandei

Lessons in biostatistics, Volume 24, October, Issue 3

KEYWORDS: computer graphics; data analysis; visual display; biostatistics

https://doi.org/10.11613/BM.2014.033

Practical recommendations for statistical analysis and data presentation in Biochemia Medica journal

Ana-Maria Simundic

Lessons in biostatistics, Volume 22, February, Issue 1

KEYWORDS: biostatistics; errors; data analysis; research ethics

https://doi.org/10.11613/BM.2012.003

Reference intervals as a tool for total quality management

Gian Cesare Guidi, Gian Luca Salvagno

Special issue, Volume 20, June, Issue 2

KEYWORDS: reference intervals; reference range; statistics; laboratory diagnostics

https://doi.org/10.11613/BM.2010.020

Statistical errors in manuscripts submitted to Biochemia Medica journal

Ana-Maria Simundic, Nora Nikolac

Original papers, Volume 19, October, Issue 3

KEYWORDS: biostatistics; errors; data analysis; research ethics

https://doi.org/10.11613/BM.2009.028

Risk reduction statistics

Mary L. McHugh

Lessons in biostatistics, Volume 19, October, Issue 3

KEYWORDS: statistics; epidemiology; absolute risk reduction; relative risk reduction; clinical statistics

https://doi.org/10.11613/BM.2009.021

Describing and interpreting the metodological and statistical techniques in meta-analyses

Alfred A. Bartolucci

Lessons in biostatistics, Volume 19, June, Issue 2

KEYWORDS: meta-analysis; statistics; review; bias

https://doi.org/10.11613/BM.2009.012

Standard error: meaning and interpretation

Mary L. McHugh

Lessons in biostatistics, Volume 18, February, Issue 1

KEYWORDS: statistics; standard error

https://doi.org/10.11613/BM.2008.002

What we need to know when calculating the coefficient of correlation?

Martina Udovičić, Ksenija Baždarić, Lidija Bilić-Zulle, Mladen Petrovečki

Lessons in biostatistics, Volume 17, June, Issue 1

KEYWORDS: correlation; Pearson’s correlation coefficient; Spearman’s correlation coefficient; coefficient of determination; error; statistics

https://doi.org/10.11613/BM.2007.002

SEARCH FOR ARTICLES

Introducing prediction intervals for sample means

Adapting power calculations to include a superiority margin: what are the implications?

On determining the sensitivity and specificity of a new diagnostic test through comparing its results against a non-gold-standard test

Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies

Estimation of the measurement uncertainty and practical suggestion for the description of the metrological traceability in clinical laboratories

Confidence interval of percentiles in skewed distribution: The importance of the actual coverage probability in practical quality applications for laboratory medicine

Confidence interval for quantiles and percentiles

The logic of equivalence testing and its use in laboratory medicine

Demystifying EQA statistics and reports

Resolution of Students t-tests, ANOVA and analysis of variance components from intermediary data

Survival analysis, more than meets the eye

Understanding the effect size and its measures

The misuse and abuse of statistics in biomedical research

Resampling methods in Microsoft Excel® for estimating reference intervals

The pits and falls of graphical presentation

Practical recommendations for statistical analysis and data presentation in Biochemia Medica journal

Reference intervals as a tool for total quality management

Statistical errors in manuscripts submitted to Biochemia Medica journal

Risk reduction statistics

Describing and interpreting the metodological and statistical techniques in meta-analyses

Standard error: meaning and interpretation

What we need to know when calculating the coefficient of correlation?

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