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10.1016/j.healthplace.2021.102609 http://scihub22266oqcxt.onion/10.1016/j.healthplace.2021.102609 34147017!ä!34147017 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Health+Place 2021 ; 70 (ä): 102609 Nephropedia Template TP {{tp|p=34147017|t=2021. The stationarity bias in research on the environmental determinants of health |pdf=|usr=}}{{34147017}} gab.com Text The stationarity bias in research on the environmental determinants of health JO: Health Place http://www.kidney.de/pget.php?&tw=1&pmid=34147017 #FOAvip An implicit assumption often made in research on the environmental determinants of health is that the relationships between environmental factors and their health effects are stable over space and time. This is the assumption of stationarity. The health impacts of environmental factors, however, may vary not only over space and time but also over the value ranges of the environmental factors under investigation. Few studies to date have examined how often the stationarity assumption is violated and when violated, to what extent findings might be misleading. Using selected studies as examples, this paper explores how the stationarity assumption can lead to misleading conclusions about health-environment relationships that may in turn have serious health consequences or policy implications. It encourages researchers to embrace nonstationarity and recognize its meaning because it helps direct our attention to the ignored factors or processes that may enhance our understanding of the phenomena under investigation. Twit Text FOAVip The stationarity bias in research on the environmental determinants of health ????Health Place http://www.kidney.de/pget.php?&tw=1&pmid=34147017 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34147017 #FOAvip English Wikipedia <ref>{{Cite pmid|34147017}}</ref> The stationarity bias in research on the environmental determinants of health #MMPMID34147017 Kwan MP Health Place 2021[Jul]; 70 (ä): 102609 PMID34147017show ga An implicit assumption often made in research on the environmental determinants of health is that the relationships between environmental factors and their health effects are stable over space and time. This is the assumption of stationarity. The health impacts of environmental factors, however, may vary not only over space and time but also over the value ranges of the environmental factors under investigation. Few studies to date have examined how often the stationarity assumption is violated and when violated, to what extent findings might be misleading. Using selected studies as examples, this paper explores how the stationarity assumption can lead to misleading conclusions about health-environment relationships that may in turn have serious health consequences or policy implications. It encourages researchers to embrace nonstationarity and recognize its meaning because it helps direct our attention to the ignored factors or processes that may enhance our understanding of the phenomena under investigation. |*Bias[MESH] |*Environment[MESH] |*Health Status[MESH] |*Research[MESH] |Global Health[MESH]The stationarity bias in research on the environmental determinants of(epmc).pdf DeepDyve Pubget Overpricing