Dynamic Modeling in Health Research as a framework for developing statistical applications free of misuse of statistics

We introduce a novel framework for developing statistical applications in health research, based on dynamic modeling of the investigated processes. We formulate the principles of dynamic modeling in health research, which are coherent to those in other fields of research. Dynamic models explicitly d...

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Bibliographic Details
Main Author: Moltchanov, Vladislav
Format: Report
Language:unknown
Published: arXiv 2012
Subjects:
Methodology stat.ME
FOS Computer and information sciences
karelia*
Online Access:https://dx.doi.org/10.48550/arxiv.1211.1310
https://arxiv.org/abs/1211.1310
id ftdatacite:10.48550/arxiv.1211.1310
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spelling ftdatacite:10.48550/arxiv.1211.1310 2023-05-15T17:00:16+02:00 Dynamic Modeling in Health Research as a framework for developing statistical applications free of misuse of statistics Moltchanov, Vladislav 2012 https://dx.doi.org/10.48550/arxiv.1211.1310 https://arxiv.org/abs/1211.1310 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Methodology stat.ME FOS Computer and information sciences Preprint Article article CreativeWork 2012 ftdatacite https://doi.org/10.48550/arxiv.1211.1310 2022-04-01T13:36:27Z We introduce a novel framework for developing statistical applications in health research, based on dynamic modeling of the investigated processes. We formulate the principles of dynamic modeling in health research, which are coherent to those in other fields of research. Dynamic models explicitly describe causal relations which are to be adequately accounted in statistical methods, making them free of misuse of statistics and statistical fallacy. We propose the Dynamic Model of Population Health describing temporal changes in health indicators, having nature of state variables. The Dynamic Regression Method was developed as statistical method for the identification of the model. This method evaluates cohort trends for state variables at each age and calendar year. The method is illustrated by evaluating cohort trends for the Body Mass Index for men, using survey data collected in the years 1982, 1987, 1992, in North Karelia, Finland. : 19 pages, 5 figures Report karelia* DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Methodology stat.ME
FOS Computer and information sciences
spellingShingle Methodology stat.ME
FOS Computer and information sciences
Moltchanov, Vladislav
Dynamic Modeling in Health Research as a framework for developing statistical applications free of misuse of statistics
topic_facet Methodology stat.ME
FOS Computer and information sciences
description We introduce a novel framework for developing statistical applications in health research, based on dynamic modeling of the investigated processes. We formulate the principles of dynamic modeling in health research, which are coherent to those in other fields of research. Dynamic models explicitly describe causal relations which are to be adequately accounted in statistical methods, making them free of misuse of statistics and statistical fallacy. We propose the Dynamic Model of Population Health describing temporal changes in health indicators, having nature of state variables. The Dynamic Regression Method was developed as statistical method for the identification of the model. This method evaluates cohort trends for state variables at each age and calendar year. The method is illustrated by evaluating cohort trends for the Body Mass Index for men, using survey data collected in the years 1982, 1987, 1992, in North Karelia, Finland. : 19 pages, 5 figures
format Report
author Moltchanov, Vladislav
author_facet Moltchanov, Vladislav
author_sort Moltchanov, Vladislav
title Dynamic Modeling in Health Research as a framework for developing statistical applications free of misuse of statistics
title_short Dynamic Modeling in Health Research as a framework for developing statistical applications free of misuse of statistics
title_full Dynamic Modeling in Health Research as a framework for developing statistical applications free of misuse of statistics
title_fullStr Dynamic Modeling in Health Research as a framework for developing statistical applications free of misuse of statistics
title_full_unstemmed Dynamic Modeling in Health Research as a framework for developing statistical applications free of misuse of statistics
title_sort dynamic modeling in health research as a framework for developing statistical applications free of misuse of statistics
publisher arXiv
publishDate 2012
url https://dx.doi.org/10.48550/arxiv.1211.1310
https://arxiv.org/abs/1211.1310
genre karelia*
genre_facet karelia*
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.1211.1310
_version_ 1766052910756528128

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