2007
DOI: 10.1083/jcb.200611141
|View full text |Cite
|
Sign up to set email alerts
|

Error bars in experimental biology

Abstract: Error bars commonly appear in figures in publications, but experimental biologists are often unsure how they should be used and interpreted. In this article we illustrate some basic features of error bars and explain how they can help communicate data and assist correct interpretation. Error bars may show confidence intervals, standard errors, standard deviations, or other quantities. Different types of error bars give quite different information, and so figure legends must make clear what error bars represent… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
500
0
19

Year Published

2009
2009
2018
2018

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 800 publications
(521 citation statements)
references
References 8 publications
2
500
0
19
Order By: Relevance
“…Data are represented as mean±SEM, if not stated otherwise 47. Given the exploratory‐driven character of MIF and sCD74 dose experiments on cell viability as well as signaling studies, normally distributed data were analyzed using a 2‐tailed, unpaired t test without multiple‐test adjustments in order to increase the power to detect real effects that would be otherwise compromised 48.…”
Section: Methodsmentioning
confidence: 99%
“…Data are represented as mean±SEM, if not stated otherwise 47. Given the exploratory‐driven character of MIF and sCD74 dose experiments on cell viability as well as signaling studies, normally distributed data were analyzed using a 2‐tailed, unpaired t test without multiple‐test adjustments in order to increase the power to detect real effects that would be otherwise compromised 48.…”
Section: Methodsmentioning
confidence: 99%
“…As a minimum, however, one should not use less than seven independent samples. [21] It is important to make sure that experiments with surrogate samples are independent, not just replications; [22,23] for example, spiking different levels of an antigen into aliquots of plasma from the same sample would not provide the same amount of variation in the background as spiking antigen into plasma from different samples. If using surrogate samples, it is important to consult closely with a clinical specialist to understand limitations of the surrogate for the test that the device performs.…”
Section: When Is a Device Ready For Field Work?mentioning
confidence: 99%
“…Para la estimación y comparación de q D se usó el mismo nivel de cobertura de muestreo entre comunidades (Chao et al 2014), el cálculo de la diversidad se realizó usando 100 aleatorizaciones con intervalos de confianza del 95%. Los datos de riqueza y abundancia se evaluaron a escala espacial, entre estaciones de muestreo, por medio de gráficos de cajas y dispersión (Cumming et al 2007). La exploración de los datos se realizó con el programa R 3.3.0 (R Core Team c2015).…”
Section: Análisis De Datosunclassified