Reporting guidelines for human microbiome research: the STORMS checklist

Causal Inference in Microbiome Medicine: Principles and Applications

(2021) Bo-Min Lv et al.   TRENDS IN MICROBIOLOGY

Essential Hypertension Is Associated With Changes in Gut Microbial Metabolic Pathways: A Multisite Analysis of Ambulatory Blood Pressure

(2021) Michael Nakai et al.   HYPERTENSION

Ecology impacts the decrease of Spirochaetes and Prevotella in the fecal gut microbiota of urban humans

(2021) Louise B. Thingholm et al.   BMC MICROBIOLOGY

Gut microbiota composition during infancy and subsequent behavioural outcomes

(2020) Amy Loughman et al.   EBioMedicine

Adjusting for age improves identification of gut microbiome alterations in multiple diseases

(2020) Tarini S Ghosh et al.   eLife

STROBE-metagenomics: a STROBE extension statement to guide the reporting of metagenomics studies

(2020) Tehmina Bharucha et al.   LANCET INFECTIOUS DISEASES

Principles of confounder selection

(2019) Tyler J. VanderWeele   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data

(2019) Paul Turner et al.   BMC Medicine

Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer

(2019) Jakob Wirbel et al.   NATURE MEDICINE

Consistent and correctable bias in metagenomic sequencing experiments

(2019) Michael R McLaren et al.   eLife

Challenges in the construction of knowledge bases for human microbiome-disease associations

(2019) Varsha Dave Badal et al.   Microbiome

Current RNA-seq methodology reporting limits reproducibility

(2019) Joël Simoneau et al.   BRIEFINGS IN BIOINFORMATICS

Writing a discussion section: how to integrate substantive and statistical expertise

(2018) Michael Höfler et al.   BMC Medical Research Methodology

Inclusion and exclusion criteria in research studies: definitions and why they matter

(2018) Cecilia Maria Patino et al.   Jornal Brasileiro de Pneumologia

Identifying and Overcoming Threats to Reproducibility, Replicability, Robustness, and Generalizability in Microbiome Research

(2018) Patrick D. Schloss   mBio

Selection bias in population-representative studies? A commentary on Deaton and Cartwright

(2018) C. Mary Schooling   SOCIAL SCIENCE & MEDICINE

Next steps in studying the human microbiome and health in prospective studies, Bethesda, MD, May 16–17, 2017

(2018) Rashmi Sinha et al.   Microbiome

Effects of environmental pollutants on gut microbiota

(2017) Yuanxiang Jin et al.   ENVIRONMENTAL POLLUTION

When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment

(2017) Denes Szucs et al.   Frontiers in Human Neuroscience

Assessment of variation in microbial community amplicon sequencing by the Microbiome Quality Control (MBQC) project consortium

(2017) Rashmi Sinha et al.   NATURE BIOTECHNOLOGY

Towards standards for human fecal sample processing in metagenomic studies

(2017) Paul I Costea et al.   NATURE BIOTECHNOLOGY

Microbiome Datasets Are Compositional: And This Is Not Optional

(2017) Gregory B. Gloor et al.   Frontiers in Microbiology

The metagenomic data life-cycle: standards and best practices

(2017) Petra ten Hoopen et al.   GigaScience

Null is beautiful: On the importance of publishing null results

(2016) Marcus Munafò et al.   JOURNAL OF PSYCHOPHARMACOLOGY

Processing faecal samples: a step forward for standards in microbial community analysis

(2014) Alba Santiago et al.   BMC MICROBIOLOGY

Batch Effect Confounding Leads to Strong Bias in Performance Estimates Obtained by Cross-Validation

(2014) Charlotte Soneson et al.   PLoS One

STROGAR – STrengthening the Reporting Of Genetic Association studies in Radiogenomics

(2013) Sarah L. Kerns et al.   RADIOTHERAPY AND ONCOLOGY

Classification of epidemiological study designs

(2012) N. Pearce   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Human gut microbiome viewed across age and geography

(2012) Tanya Yatsunenko et al.   NATURE

Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications

(2011) Pelin Yilmaz et al.   NATURE BIOTECHNOLOGY

STrengthening the REporting of Genetic Association Studies (STREGA)-an extension of the STROBE statement

(2009) Julian Little et al.   GENETIC EPIDEMIOLOGY

Illustrating bias due to conditioning on a collider

(2009) Stephen R Cole et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies

(2008) Erik von Elm et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY