Abstract:
:A recent analysis revealed that most environmental microbiologists neglect replication in their science (Prosser, 2010). Of all peer-reviewed papers published during 2009 in the field's leading journals, slightly more than 70% lacked replication when it came to analyzing microbial community data. The paucity of replication is viewed as an 'endemic' and 'embarrassing' problem that amounts to 'bad science', or worse yet, as the title suggests, lying (Prosser, 2010). Although replication is an important component of experimental design, it is possible to do good science without replication. There are various quantitative techniques - some old, some new - that, when used properly, will allow environmental microbiologists to make strong statistical conclusions from experimental and comparative data. Here, I provide examples where unreplicated data can be used to test hypotheses and yield novel information in a statistically robust manner.
journal_name
Environ Microbioljournal_title
Environmental microbiologyauthors
Lennon JTdoi
10.1111/j.1462-2920.2011.02445.xsubject
Has Abstractpub_date
2011-06-01 00:00:00pages
1383-6issue
6eissn
1462-2912issn
1462-2920journal_volume
13pub_type
杂志文章abstract::To assess the impact of sanitation of a living environment on gut microbiota and development of the immune system, we raised BALB/c mice under three distinct environmental conditions: a specific pathogen-free animal room (SPF), a general animal room (XZ) and a farmhouse (JD). All other variables like diet, age, geneti...
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pub_type: 杂志文章
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pub_type: 杂志文章
doi:10.1111/1462-2920.15235
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pub_type: 杂志文章
doi:10.1111/1462-2920.14515
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journal_title:Environmental microbiology
pub_type: 杂志文章,评审
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更新日期:2017-06-01 00:00:00
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pub_type: 杂志文章
doi:10.1111/1462-2920.14120
更新日期:2018-08-01 00:00:00
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pub_type: 杂志文章
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