Parallels between Statistical Issues in Medical and Meteorological ExperimentationSource: Journal of Applied Meteorology:;2000:;volume( 039 ):;issue: 011::page 1822Author:Gabriel, K. Ruben
DOI: 10.1175/1520-0450(2000)039<1822:PBSIIM>2.0.CO;2Publisher: American Meteorological Society
Abstract: The methodology of experimentation, randomization, and statistical analysis in weather modification has many parallels in clinical trials, such as the need for randomization, and the question of inclusion or exclusion of units assigned to be treated but not actually treated. There also are considerable differences, mainly in the definition of units, where the obvious choice of a single patient is in contrast with the highly problematic definition of a cloud or storm, and in the ethical aspects. This paper highlights some of these parallels and differences in the hope that looking at one?s own problems in a different context may enhance one?s understanding. It may also reconcile experimenters to their need for statistics: as the Hebrew saying goes, ?Tzarat rabim, hatzi nehama? (the misfortune of many is half a consolation). DEDICATION It has been my good fortune to have worked with meteorologists who had an appreciation of what statistics could do for them and even seemed to get pleasure from understanding it. Such was Graeme Mather: not only did he seek and heed statistical support for his seminal work in cloud seeding, but he conveyed a sense of enjoying the cooperation and intellectual exchange. When we collaborated, I was challenged to propose and to justify new methods of analysis?as in exploring Nelspruit rainfall by means of biplots and linear models (Gabriel and Mather 1986) and in a joint attempt, by e-mail, to apply QQ-plots to the study of detailed differences between the rain distributions of seeded and unseeded storms?and I was gratified to see his intelligent and useful application of these analyses. Graeme not only made his own important contributions but also had a singular gift of making others feel that he understood and appreciated them. It is appropriate to dedicate the following paper to him, not only because I have learned much of what I write about from collaborating with him and other like-minded meteorologists, but also because he was present when I delivered the initial version in Bari, Italy, in 1996 and was generous in expressing his appreciation. I miss him.
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contributor author | Gabriel, K. Ruben | |
date accessioned | 2017-06-09T14:07:35Z | |
date available | 2017-06-09T14:07:35Z | |
date copyright | 2000/11/01 | |
date issued | 2000 | |
identifier issn | 0894-8763 | |
identifier other | ams-12905.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4148296 | |
description abstract | The methodology of experimentation, randomization, and statistical analysis in weather modification has many parallels in clinical trials, such as the need for randomization, and the question of inclusion or exclusion of units assigned to be treated but not actually treated. There also are considerable differences, mainly in the definition of units, where the obvious choice of a single patient is in contrast with the highly problematic definition of a cloud or storm, and in the ethical aspects. This paper highlights some of these parallels and differences in the hope that looking at one?s own problems in a different context may enhance one?s understanding. It may also reconcile experimenters to their need for statistics: as the Hebrew saying goes, ?Tzarat rabim, hatzi nehama? (the misfortune of many is half a consolation). DEDICATION It has been my good fortune to have worked with meteorologists who had an appreciation of what statistics could do for them and even seemed to get pleasure from understanding it. Such was Graeme Mather: not only did he seek and heed statistical support for his seminal work in cloud seeding, but he conveyed a sense of enjoying the cooperation and intellectual exchange. When we collaborated, I was challenged to propose and to justify new methods of analysis?as in exploring Nelspruit rainfall by means of biplots and linear models (Gabriel and Mather 1986) and in a joint attempt, by e-mail, to apply QQ-plots to the study of detailed differences between the rain distributions of seeded and unseeded storms?and I was gratified to see his intelligent and useful application of these analyses. Graeme not only made his own important contributions but also had a singular gift of making others feel that he understood and appreciated them. It is appropriate to dedicate the following paper to him, not only because I have learned much of what I write about from collaborating with him and other like-minded meteorologists, but also because he was present when I delivered the initial version in Bari, Italy, in 1996 and was generous in expressing his appreciation. I miss him. | |
publisher | American Meteorological Society | |
title | Parallels between Statistical Issues in Medical and Meteorological Experimentation | |
type | Journal Paper | |
journal volume | 39 | |
journal issue | 11 | |
journal title | Journal of Applied Meteorology | |
identifier doi | 10.1175/1520-0450(2000)039<1822:PBSIIM>2.0.CO;2 | |
journal fristpage | 1822 | |
journal lastpage | 1836 | |
tree | Journal of Applied Meteorology:;2000:;volume( 039 ):;issue: 011 | |
contenttype | Fulltext |