Commentary: Representativeness is usually not necessary and often should be avoided.

By L. Richiardi, C. Pizzi, N. Pearce. 2013

200 citations recorded by the source corpus.

Subfields: General Health Professions, Public Health, Environmental and Occupational Health, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. Marcus Munafò

In Public Health, Environmental and Occupational Health

1. K. Tilling
2. George Davey Smith
3. Marcus Munafò

In Statistics and Probability

1. George Davey Smith
2. K. Tilling
3. Amy E Taylor
4. Marcus Munafò
5. E. Sanderson

Citations in the corpus

• Collider scope: when selection bias can substantially influence observed associations (2016, background): “However, it is often argued that representativeness is not necessary in studies of this kind (5-9), although this is not universally accepted (10).”
• Recruitment via the Internet and Social Networking Sites: The 1989-1995 Cohort of the Australian Longitudinal Study on Women’s Health (2014, unknown): “Representativeness may not be important, or even desirable, for etiological studies, if the measurement and control of confounders is feasible [9,12].”