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[null,"1.","Record Nr.",null,"UNINA9910793147503321"]
[null,null,"Autore",null,"Lutes Jean Marie <1967->"]
[null,null,"Titolo",null,"Front page girls : women journalists in American culture and fiction, 1880-1930 / / Jean Marie Lutes"]
[null,null,"Pubbl/distr/stampa",null,"Ithaca, N.Y. : , : Cornell University Press, , [2006]"]
[{"$nulls":4},"©2006"]
[null,null,"ISBN",null,"1-5017-2830-X"]
[null,null,"Descrizione fisica",null,"1 online resource (xi, 226 p. :) : ill. ;"]
[null,null,"Disciplina",null,"070.4082"]
[null,null,"Soggetti",null,"Women journalists - United States"]
[{"$nulls":4},"Women journalists in literature"]
[{"$nulls":4},"Journalism and literature"]
[{"$nulls":4},"Journalism - Social aspects - United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Into the madhouse with girl stunt reporters -- The African American newswoman as national icon -- The original sob sisters : writers on trial -- A reporter-heroine's evolution -- From news to novels -- Epilogue : girl reporters on film."]
[null,null,null,"Sommario/riassunto","The first study of the role of the newspaperwoman in American literary culture at the turn of the twentieth century, this book recaptures the imaginative exchange between real-life reporters like Nellie Bly and Ida B. Wells and fictional characters like Henrietta Stackpole, the lady-correspondent in Henry James's Portrait of a Lady. It chronicles the exploits of a neglected group of American women writers and uncovers an alternative reporter-novelist tradition that runs counter to the more familiar story of gritty realism generated in male-dominated newsrooms. Taking up actual newspaper accounts written by women, fictional portrayals of female journalists, and the work of reporters-turned-novelists such as Willa Cather and Djuna Barnes, Jean Marie Lutes finds in women's journalism a rich and complex source for modern American fiction. Female journalists, cast as both standard-bearers and scapegoats of an emergent mass culture, created fictions of themselves that far outlasted the fleeting news value of the stories they covered.Front-Page Girls revives the spectacular stories of now-forgotten newspaperwomen who were not afraid of becoming the news themselves-the defiant few who wrote for the city desks of mainstream "]
[{"$nulls":4},"newspapers and resisted the growing demand to fill women's columns with fashion news and household hints. It also examines, for the first time, how women's journalism shaped the path from news to novels for women writers."]
[null,"2.","Record Nr.",null,"UNINA9910349444503321"]
[null,null,"Autore",null,"Cleophas Ton J"]
[null,null,"Titolo",null,"Efficacy Analysis in Clinical Trials an Update : Efficacy Analysis in an Era of Machine Learning / / by Ton J. Cleophas, Aeilko H. Zwinderman"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-19918-5"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XI, 304 p. 295 illus., 44 illus. in color.)"]
[null,null,"Disciplina",null,"006.31"]
[{"$nulls":4},"615.50724"]
[null,null,"Soggetti",null,"Medicine"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Biometry"]
[{"$nulls":4},"Biomedicine, general"]
[{"$nulls":4},"Statistics for Life Sciences, Medicine, Health Sciences"]
[{"$nulls":4},"Biostatistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Preface -- Traditional and Machine-Learning Methods for Efficacy Analysis -- Optimal-Scaling for Efficacy Analysis -- Ratio-Statistic for Efficacy Analysis -- Ratio-Statistic for Efficacy Analysis -- Complex-Samples for Efficacy Analysis -- Bayesian-Networks for Efficacy Analysis -- Evolutionary-Operations for Efficacy Analysis -- Automatic-Newton-Modeling for Efficacy Analysis -- High-Risk-Bins for Efficacy Analysis -- Balanced-Iterative-Reducing-Hierarchy for Efficacy Analysis -- Cluster-Analysis for Efficacy Analysis -- Multidimensional-Scaling for Efficacy Analysis -- Binary Decision-Trees for Efficacy Analysis -- Continuous Decision-Trees for Efficacy Analysis -- Automatic-Data-Mining for Efficacy Analysis -- Support-Vector-Machines for Efficacy Analysis -- Neural-Networks for Efficacy Analysis -- Ensembled-Accuracies for Efficacy Analysis -- Ensembled-Correlations for Efficacy Analysis -- Gamma-Distributions for Efficacy Analysis -- Validation with Big Data, a Big Issue -- Index."]
[null,null,null,"Sommario/riassunto","Machine learning and big data is hot. It is, however, virtually unused in clinical trials. This is so, because randomization is applied to even out multiple variables. Modern medical computer files often involve hundreds of variables like genes and other laboratory values, and "]
[{"$nulls":4},"computationally intensive methods are required. This is the first publication of clinical trials that have been systematically analyzed with machine learning. In addition, all of the machine learning analyses were tested against traditional analyses. Step by step statistics for self-assessments are included. The authors conclude, that machine learning is often more informative, and provides better sensitivities of testing than traditional analytic methods do."]