Little data challenges

little data challenges

@cjlortie

too much running kills

Too much jogging may be as bad for you as not running at all, study suggests.The Independent March 19, 2015

The (Supposed) Dangers of Running Too MuchWhat the data says, and what it doesn’t.

Runner’s World Feb 3, 2015

Sedentary: 413 / 128 Light: 576 / 7Moderate: 262 / 8Strenuous: 40 / 2

little data are not necessarily simple

deep but not wide

little data challenges

contrast

little data challenges

representativeness

little data challenges

power

contrast

pre-posteffect sizes

to small groupsto related data landscape

solutions

contrast

solutions

contrast

solutions

contrast

solutions

representativeness

solutions

power

solutions

power

solutions

online calculators to explore expectations & pilot design

power

solutions

little data studies, i.e. pilot experiments, should deep & narrow

dot plots by Meaghan Nolan

easiest approach, increase sample size

however, large samples do not replace effective designs

little data design implications

appropriate contrasts & framing of problem

Big Data & population-level contrasts

use power-thinking: rejection strengths & effect sizes

little data can support imagination

can it be done must also be connected to frequency

however

resources

http://www.independent.co.uk/life-style/health-and-families/health-news/too-much-jogging-may-be-as-bad-for-you-as-not-running-at-all-study-suggests-10020478.html

http://www.runnersworld.com/health/the-supposed-dangers-of-running-too-much

http://hdexplore.calit2.net/wp/project/personal-data-for-the-public-good-report/

http://www.statisticalsolutions.net/pss_calc.php

https://whatthestats.wordpress.com/2012/09/10/statistical-power/

https://onlinecourses.science.psu.edu/stat414/book/export/html/245

Cohen 1992. Statistical Power Analysis & A Power Primer.