Maybe we can match height of riders with need for petite clothing - a
business opportunity. My petite daughters would appreciate that.
On Thu, Dec 1, 2016 at 10:23 AM, <mbrenman001(a)comcast.net> wrote:
What is "the power of large sample"? And of
course correlation is not
causality. One can imagine that in the us, transit riders are shorter than
car driver s, because of ethnic difference s in users. And there have been
various studies showing a correlation between height and higher pay, partly
due to gender disparities.
Marc brenman
Sent from XFINITY Connect Mobile App
-----Original Message-----
From: thomas.goetschi(a)uzh.ch
To: h+t--friends(a)chrispy.net
Cc:
Sent: 2016-12-01 6:48:32 AM
Subject: [H+T--Friends] Antwort: 'Transit Makes You Short'
this may have some value for a journal club - I see flaws at various
levels. How it may contribute to our understanding of any possible
relationship between public transport and health escapes me.
Thomas Götschi, PhD
************************************************************
*************************
Regelmässig in Zürich unterwegs?
Hier für PASTA registrieren:
https://survey.pastaproject.eu/zurich
************************************************************
*************************
_____________________________________________________________
Universität Zürich
Bewegung und Gesundheit / Physical Activity and Health
Institut für Epidemiologie, Biostatistik und Prävention
(eh. Institut für Sozial- und Präventivmedizin)
Seilergraben 49
CH-8001 Zürich
Schweiz
Tel: +41 44 634 50 68 <+41%2044%20634%2050%2068>
Email: thomas.goetschi(a)uzh.ch
www.ebpi.uzh.ch
_____________________________________________________________
[image: Inactive hide details for Ann Hartell ---12/01/2016 12:14:34
PM---I'm not sure how many on this list follow David Levinson's bl]Ann
Hartell ---12/01/2016 12:14:34 PM---I'm not sure how many on this list
follow David Levinson's blog The Transportist (over here: https:
Von: Ann Hartell <ahartell(a)gmail.com>
An: TRB Health and Transportation <h+t--friends(a)chrispy.net>
Datum: 12/01/2016 12:14 PM
Betreff: [H+T--Friends] 'Transit Makes You Short'
Gesendet von: h+t--friends-bounces(a)chrispy.net
------------------------------
I'm not sure how many on this list follow David Levinson's blog The
Transportist (over here: *https://transportist.org/*
<https://transportist.org/> ), but he recently published a post about a
working paper he co-authored with Alireza Emragun titled "Transit Makes
you Short": On Health Impact Assessment of Transportation and the Built
Environment.
The blog post is here:
*https://transportist.org/2016/11/28/u-study-says-transit-does-not-have-impact-on-public-health/*
<https://transportist.org/2016/11/28/u-study-says-transit-does-not-have-impact-on-public-health/>
The full paper is here:
*http://conservancy.umn.edu/handle/11299/179812*
<http://conservancy.umn.edu/handle/11299/179812>
Abstract:
The current research provides a test framework to understand whether and
to what extent increasing public transit use and accessibility by transit
affect health. To this end, the effect of transit mode share and
accessibility by transit on general health, body mass index, and height are
investigated, while controlling for socioeconomic, demographic, and
physical activity factors. The coefficient-p-value-sample-size chart is
created and effect size analysis are conducted to explore whether the
transit use is practically significant. Building on the results of the
analysis, we found that the transit mode share and accessibility by transit
are not practically significant, and the power of large-sample
misrepresents the effect of transit on public health. The results, also,
highlight the importance of data and variable selection by portraying a
significant correlation between transit use and height in a multivariate
regression analysis. What becomes clear from this study is that in spite of
the mushrooming interdisciplinary studies in the nexus of transportation
and health arena, researchers often propose short- and long-term policies
blindly, while failing to report the inherent explanatory power of
variables. We show that there is a thin line between false positive and
true negative results. From the weakness of p-values perspective, further,
we strove to alert both researchers and practitioners to the dangerous
pitfall deriving from the power of large- samples. Building the results on
just significance and sign of the parameter of interest is worthless,
unless the magnitude of effect size is carefully quantified post analysis.
~~~~~~~~~~~~
Ann Hartell
Doctoral Candidate
Institute for Multi-Level Governance and Development
Wirtschaftsuniversität Wien/Vienna University of Economics and Business
*https://www.wu.ac.at/en/mlgd/* <http://www.wu.ac.at/mlgd/en/>
Personal: *annhartell.com* <http://annhartell.com/>
Email: *ahartell(a)gmail.com* <ahartell(a)gmail.com>_____
__________________________________________
H+T--Friends mailing list
H+T--Friends(a)chrispy.net
https://www.chrispy.net/mailman/listinfo/h+t--friends
_______________________________________________ H+T--Friends mailing list
H+T--Friends(a)chrispy.net
https://www.chrispy.net/
mailman/listinfo/h+t--friends
_______________________________________________
H+T--Friends mailing list
H+T--Friends(a)chrispy.net
https://www.chrispy.net/mailman/listinfo/h+t--friends