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10.1093/biostatistics/kxv052 http://scihub22266oqcxt.onion/10.1093/biostatistics/kxv052 C4915607!4915607!26795191     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biostatistics 2016 ; 17 (3): 422-36 Nephropedia Template TP {{tp|p=26795191|t=2016. Estimation of radiation risk in presence of classical additive and Berkson multiplicative errors in exposure doses |pdf=|usr=}}{{26795191}} gab.com Text Estimation of radiation risk in presence of classical additive and Berkson multiplicative errors in exposure doses JO: Biostatistics http://www.kidney.de/pget.php?&tw=1&pmid=26795191 #FOAvip In this paper, the influence of measurement errors in exposure doses in a regression model with binary response is studied. Recently, it has been recognized that uncertainty in exposure dose is characterized by errors of two types: classical additive errors and Berkson multiplicative errors. The combination of classical additive and Berkson multiplicative errors has not been considered in the literature previously. In a simulation study based on data from radio-epidemiological research of thyroid cancer in Ukraine caused by the Chornobyl accident, it is shown that ignoring measurement errors in doses leads to overestimation of background prevalence and underestimation of excess relative risk. In the work, several methods to reduce these biases are proposed. They are new regression calibration, an additive version of efficient SIMEX, and novel corrected score methods. Twit Text FOAVip Estimation of radiation risk in presence of classical additive and Berkson multiplicative errors in exposure doses ????Biostatistics http://www.kidney.de/pget.php?&tw=1&pmid=26795191 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26795191 #FOAvip English Wikipedia <ref>{{Cite pmid|26795191}}</ref> Estimation of radiation risk in presence of classical additive and Berkson multiplicative errors in exposure doses #MMPMID26795191 Masiuk SV; Shklyar SV; Kukush AG; Carroll RJ; Kovgan LN; Likhtarov IA Biostatistics 2016[Jul]; 17 (3): 422-36 PMID26795191show ga In this paper, the influence of measurement errors in exposure doses in a regression model with binary response is studied. Recently, it has been recognized that uncertainty in exposure dose is characterized by errors of two types: classical additive errors and Berkson multiplicative errors. The combination of classical additive and Berkson multiplicative errors has not been considered in the literature previously. In a simulation study based on data from radio-epidemiological research of thyroid cancer in Ukraine caused by the Chornobyl accident, it is shown that ignoring measurement errors in doses leads to overestimation of background prevalence and underestimation of excess relative risk. In the work, several methods to reduce these biases are proposed. They are new regression calibration, an additive version of efficient SIMEX, and novel corrected score methods. äEstimation of radiation risk in presence of classical additive and Ber(epmc).pdf DeepDyve Pubget Overpricing