Marshall and Galea respond to "data theory in epidemiology".

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

2 citing papers in PubMed.

1. The Interaction of Risk Network Structures and Virus Natural History in the Non-spreading of HIV Among People Who Inject Drugs in the Early Stages of the Epidemic.AIDS and behavior · 2017
   Article
2. Transdisciplinary approaches enhance the production of translational knowledge.Translational research : the journal of laboratory and clinical medicine · 2017
   Review

Corrections and comments

• Comment on
  Invited commentary: Agent-based models for causal inference—reweighting data and theory in epidemiology.2015
• Comment on
  Formalizing the role of agent-based modeling in causal inference and epidemiology.2015
• Comment on
  Invited commentary: The virtual epidemiologist—promise and peril.2015

Authors and funding

2 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

Indexed as