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About 10,000 papers for “Standard error”

A Standard Error: Distinguishing Standard Deviation From Standard Error

Rickey E. Carter · Diabetes · 2013

A recent Perspective in Nature issued a call for more transparency in the reporting of preclinical research (1). Although this article focused primarily on experimental design, it emphasized the need for improved reporting in the scientific literature. Within the context of preclinical studies, there have been discussions regarding the appropriate reporting of standard error (SE) and standard deviation (SD) (2–5); however, despite the recommendations, opportunities remain to improve upon the reporting of these statistics in the literature. To first set the stage for the distinction between SD and SE, we start with the similarities. Both SD and SE measure variability or, informally, “spread.” As such, both statistics give a numerical summary of variability. Given this, how does one distinguish SE from SD? The distinction is that one summarizes the variability of data and the other describes the variability of …

Cited by 21Open access

standard error

Gerhard Nahler · Dictionary of Pharmaceutical Medicine · 2009

Cited by 1

Standard Error

K. Gauvreau · Encyclopedia of Biostatistics · 2005

Abstract This is a term given to the standard deviation of a statistic in its theoretical sampling distribution, and is used to assess the variability of the statistic and to facilitate hypothesis tests and the calculation of confidence intervals. The standard error may involve unknown parameter values that may have to be estimated from the observed data.

Cited by 0

Standard error

Robert B. Burns, Clifford B. Dobson · Experimental Psychology · 1981

Cited by 1

Standard Error

Dean P. Foster, Robert A. Stine, Richard P. Waterman · 1997

Cited by 0

Standard Error

National Cancer Institute · Definitions · 2020

Ope n Pe e r Re v ie w on Qe ios Ope n Pe e r Re v ie

Cited by 0Open access

Standard deviation versus standard error

P. Sedgwick · BMJ · 2011

Researchers investigated the effectiveness of a weight loss programme in men with moderate to severe obstructive sleep apnoea. Men were eligible to join the programme if aged 30-65 years, had a body mass index between 30 and 40, had moderate to severe obstructive sleep apnoea (as measured by an apnoea-hypopnoea index ≥15 events/hour), and were being treated with continuous positive airway pressure. The weight loss programme lasted one year and consisted of a very low energy diet for nine weeks followed by a weight loss maintenance programme. A total of 63 men were recruited at an outpatient obesity clinic in a university hospital in Stockholm, Sweden.1 Outcome measures included the change in body weight after participation in the weight loss programme. At baseline the sample had a mean weight of 113.1 kg (SD=14.2 kg). The researchers reported that the weight loss programme resulted in a significant decrease in weight. The mean change in body weight at one year from baseline was a reduction of 12.1 kg (95% confidence interval 9.8 to 14.3) (SD=9 kg; SEM=1.13 kg). Which of the following, if any, are true?

Cited by 10

Error bars represent standard error of mean

Clifton, Ian J, Fletcher, Louise A, Beggs, Clive B et al. · Figshare · 2011

<b>Copyright information:</b>Taken from "A laminar flow model of aerosol survival of epidemic and non-epidemic strains of isolated from people with cystic fibrosis"http://www.biomedcentral.com/1471-2180/8/105BMC Microbiology 2008;8():105-105.Published online 26 Jun 2008PMCID:PMC2443368.

Cited by 0Open access

Standard Error of Estimate

Robert E. McAuliffe · Wiley Encyclopedia of Management · 2015

Abstract The standard error of estimate ( SEE ) is the square root of the variance of the residuals from a linear regression.

Cited by 2