scholarly journals Point estimates, Simpson’s paradox, and nonergodicity in biological sciences

2021 ◽  
Vol 125 ◽  
pp. 98-107
Author(s):  
Madhur Mangalam ◽  
Damian G. Kelty-Stephen
Keyword(s):  
Biological Sciences ◽  
Simpson’S Paradox ◽  
Point Estimates ◽  
Simpson's Paradox

scholarly journals Are Scientific Models of Life Testable? A Lesson from Simpson’s Paradox

Sci ◽  
2020 ◽  
Vol 2 (3) ◽  
pp. 73
Author(s):  
Prasanta S. Bandyopadhyay ◽  
Nolan Grunska ◽  
Don Dcruz ◽  
Mark C. Greenwood
Keyword(s):  
Origin Of Life ◽  
Rna World ◽  
Scientific Models ◽  
Scientific Model ◽  
Simpson’S Paradox ◽  
World Theory ◽  
Life Issues ◽  
The Origin Of Life ◽  
Logical Sense ◽  
Simpson's Paradox

We address the need for a model by considering two competing theories regarding the origin of life: (i) the Metabolism First theory and (ii) the RNA World theory. We discuss two inter-related points. (I) Models are valuable tools in understanding both the processes and intricacies of the origin of life issues. (II) Insights from models also help us to evaluate the core objection to origin of life theories called “the inefficiency objection” commonly raised by proponents of both the Metabolism First theory and the RNA World theory against each other. We use Simpson’s paradox as a tool for challenging this objection. We will use models in various senses ranging from taking them as representations of reality to treating them as theories/accounts that provide heuristics for probing reality. In this paper, we will frequently use models and theories interchangeably. Additionally, we investigate Conway’s Game of Life and contrast it with our Simpson’s Paradox (SP)-based approach to emergence of life issues. Finally, we discuss some of the consequences of our view. A scientific model is testable in three senses: (i) a logical sense, (ii) a nomological sense, and (iii) a current technological sense. The SP-based model is testable in the logical sense. It is also testable nomologically. However, it is not currently feasible to test it.

Simpson's paradox and the wayward researcher

1997 ◽  
Vol 75 (3) ◽  
pp. 343-359
Author(s):  
Gary Malinas
Keyword(s):  
Simpson’S Paradox ◽  
Simpson's Paradox

Achievement data in IEA studies and Simpson's Paradox

2011 ◽  
Vol 37 (2-3) ◽  
pp. 144-151 ◽  
Author(s):  
Ruth Zuzovsky ◽  
David M. Steinberg ◽  
Zipi Libman
Keyword(s):  
Simpson’S Paradox ◽  
Achievement Data ◽  
Simpson's Paradox

scholarly journals The nature of truth: Simpson's Paradox and the limits of statistical data

QJM ◽  
2002 ◽  
Vol 95 (4) ◽  
pp. 247-249 ◽  
Author(s):  
M. Heydtmann
Keyword(s):  
Statistical Data ◽  
Simpson’S Paradox ◽  
Simpson's Paradox

Outliers and the Simpson’s Paradox

2018 ◽  
pp. 267-278
Author(s):  
Eduarda Portela ◽  
Rita P. Ribeiro ◽  
João Gama
Keyword(s):  
Simpson’S Paradox ◽  
Simpson's Paradox

Experience Simpson's Paradox in the Classroom

2017 ◽  
Vol 71 (1) ◽  
pp. 61-66 ◽  
Author(s):  
Jiangtao Gou ◽  
Fengqing (Zoe) Zhang
Keyword(s):  
Simpson’S Paradox ◽  
Simpson's Paradox
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