What exactly is 'N' in cell culture and animal experiments?

Biologists determine experimental effects by perturbing biological entities or units. When done appropriately, independent replication of the entity-intervention pair contributes to the sample size (N) and forms the basis of statistical inference. If the wrong entity-intervention pair is chosen, an...

Full description

Bibliographic Details
Main Authors: Stanley E Lazic, Charlie J Clarke-Williams, Marcus R Munafò
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-04-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.2005282
id doaj-3e8147c8297e4332b1e26c43b82229be
record_format Article
spelling doaj-3e8147c8297e4332b1e26c43b82229be2021-07-02T16:20:59ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852018-04-01164e200528210.1371/journal.pbio.2005282What exactly is 'N' in cell culture and animal experiments?Stanley E LazicCharlie J Clarke-WilliamsMarcus R MunafòBiologists determine experimental effects by perturbing biological entities or units. When done appropriately, independent replication of the entity-intervention pair contributes to the sample size (N) and forms the basis of statistical inference. If the wrong entity-intervention pair is chosen, an experiment cannot address the question of interest. We surveyed a random sample of published animal experiments from 2011 to 2016 where interventions were applied to parents and effects examined in the offspring, as regulatory authorities provide clear guidelines on replication with such designs. We found that only 22% of studies (95% CI = 17%-29%) replicated the correct entity-intervention pair and thus made valid statistical inferences. Nearly half of the studies (46%, 95% CI = 38%-53%) had pseudoreplication while 32% (95% CI = 26%-39%) provided insufficient information to make a judgement. Pseudoreplication artificially inflates the sample size, and thus the evidence for a scientific claim, resulting in false positives. We argue that distinguishing between biological units, experimental units, and observational units clarifies where replication should occur, describe the criteria for genuine replication, and provide concrete examples of in vitro, ex vivo, and in vivo experimental designs.https://doi.org/10.1371/journal.pbio.2005282
collection DOAJ
language English
format Article
sources DOAJ
author Stanley E Lazic
Charlie J Clarke-Williams
Marcus R Munafò
spellingShingle Stanley E Lazic
Charlie J Clarke-Williams
Marcus R Munafò
What exactly is 'N' in cell culture and animal experiments?
PLoS Biology
author_facet Stanley E Lazic
Charlie J Clarke-Williams
Marcus R Munafò
author_sort Stanley E Lazic
title What exactly is 'N' in cell culture and animal experiments?
title_short What exactly is 'N' in cell culture and animal experiments?
title_full What exactly is 'N' in cell culture and animal experiments?
title_fullStr What exactly is 'N' in cell culture and animal experiments?
title_full_unstemmed What exactly is 'N' in cell culture and animal experiments?
title_sort what exactly is 'n' in cell culture and animal experiments?
publisher Public Library of Science (PLoS)
series PLoS Biology
issn 1544-9173
1545-7885
publishDate 2018-04-01
description Biologists determine experimental effects by perturbing biological entities or units. When done appropriately, independent replication of the entity-intervention pair contributes to the sample size (N) and forms the basis of statistical inference. If the wrong entity-intervention pair is chosen, an experiment cannot address the question of interest. We surveyed a random sample of published animal experiments from 2011 to 2016 where interventions were applied to parents and effects examined in the offspring, as regulatory authorities provide clear guidelines on replication with such designs. We found that only 22% of studies (95% CI = 17%-29%) replicated the correct entity-intervention pair and thus made valid statistical inferences. Nearly half of the studies (46%, 95% CI = 38%-53%) had pseudoreplication while 32% (95% CI = 26%-39%) provided insufficient information to make a judgement. Pseudoreplication artificially inflates the sample size, and thus the evidence for a scientific claim, resulting in false positives. We argue that distinguishing between biological units, experimental units, and observational units clarifies where replication should occur, describe the criteria for genuine replication, and provide concrete examples of in vitro, ex vivo, and in vivo experimental designs.
url https://doi.org/10.1371/journal.pbio.2005282
work_keys_str_mv AT stanleyelazic whatexactlyisnincellcultureandanimalexperiments
AT charliejclarkewilliams whatexactlyisnincellcultureandanimalexperiments
AT marcusrmunafo whatexactlyisnincellcultureandanimalexperiments
_version_ 1721326786729476096