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10.1002/sim.4282 http://scihub22266oqcxt.onion/10.1002/sim.4282 C4465206!4465206!21751225     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       Stat+Med 2011 ; 30 (23): 2785-92 Nephropedia Template TP {{tp|p=21751225|t=2011. Principles for the ethical analysis of clinical and translational research |pdf=|usr=}}{{21751225}} gab.com Text Principles for the ethical analysis of clinical and translational research JO: Stat Med http://www.kidney.de/pget.php?&tw=1&pmid=21751225 #FOAvip Statistical analysis is a cornerstone of the scientific method and evidence-based medicine, and statisticians serve an increasingly important role in clinical and translational research by providing objective evidence concerning the risks and benefits of novel therapeutics. Researchers rely on statistics and informatics as never before to generate and test hypotheses and to discover patterns of disease hidden within overwhelming amounts of data. Too often, clinicians and biomedical scientists are not adequately proficient in statistics to analyze data or interpret results, and statistical expertise may not be properly incorporated within the research process. We argue for the ethical imperative of statistical standards, and we present ten nontechnical principles that form a conceptual framework for the ethical application of statistics in clinical and translational research. These principles are drawn from the literature on the ethics of data analysis and the American Statistical Association Ethical Guidelines for Statistical Practice. Twit Text FOAVip Principles for the ethical analysis of clinical and translational research ????Stat Med http://www.kidney.de/pget.php?&tw=1&pmid=21751225 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=21751225 #FOAvip English Wikipedia <ref>{{Cite pmid|21751225}}</ref> Principles for the ethical analysis of clinical and translational research #MMPMID21751225 Gelfond JAL; Heitman E; Pollock BH; Klugman CM Stat Med 2011[Oct]; 30 (23): 2785-92 PMID21751225show ga Statistical analysis is a cornerstone of the scientific method and evidence-based medicine, and statisticians serve an increasingly important role in clinical and translational research by providing objective evidence concerning the risks and benefits of novel therapeutics. Researchers rely on statistics and informatics as never before to generate and test hypotheses and to discover patterns of disease hidden within overwhelming amounts of data. Too often, clinicians and biomedical scientists are not adequately proficient in statistics to analyze data or interpret results, and statistical expertise may not be properly incorporated within the research process. We argue for the ethical imperative of statistical standards, and we present ten nontechnical principles that form a conceptual framework for the ethical application of statistics in clinical and translational research. These principles are drawn from the literature on the ethics of data analysis and the American Statistical Association Ethical Guidelines for Statistical Practice. äPrinciples for the ethical analysis of clinical and translational rese(epmc).pdf DeepDyve Pubget Overpricing