LEADER 02870nam 2200637 450 001 9910208816803321 005 20200520144314.0 010 $a1-118-80085-0 010 $a1-118-80086-9 010 $a1-118-80081-8 035 $a(CKB)4330000000001409 035 $a(SSID)ssj0001196196 035 $a(PQKBManifestationID)11635604 035 $a(PQKBTitleCode)TC0001196196 035 $a(PQKBWorkID)11165345 035 $a(PQKB)10608189 035 $a(OCoLC)865544033 035 $a(MiAaPQ)EBC1684792 035 $a(DLC) 2013049974 035 $a(Au-PeEL)EBL1684792 035 $a(CaPaEBR)ebr10868203 035 $a(OCoLC)879551105 035 $a(EXLCZ)994330000000001409 100 $a20140516h20142000 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSinger & Monaghan's cervical and lower genital tract precancer $ediagnosis and treatment /$fAlbert Singer and Ashfaq M. Khan ; assistant authors Rupali S. Arora, Jacob Bornstein ; contributing author Swee Chong Quek 205 $aThird edition. 210 1$aWest Sussex, England :$cJohn Wiley & Sons,$d2014. 210 4$dİ2000 215 $a1 online resource (306 pages) $cillustrations (some color), tables 300 $aPreceded by Lower genital tract precancer / Albert Singer, John M. Monaghan. 2nd ed. 2000. 311 $a0-470-67441-5 320 $aIncludes bibliographical references and index. 327 $aThe histopathology of lower genital tract neoplasia -- Human papillomaviruses in pathogenesis of lower genital tract neoplasia -- Examination for cervical precancer? use of colposcopy -- Colposcopy of the normal cervix ; prerequisite to establish the diagnosis of cervical cancer -- Cytology and screening for cervical precancer -- Diagnosis of cervical precancer ; the use of colposcopy -- Management of cervical precancer -- Vaginal intraepithelial neoplasia -- Vulvar intraepithelial neoplasia -- Perianal and anal intraepithelial neoplasia -- Genital tract adenosis -- Infective and other conditions causing confusion in diagnosis of lower genital tract precancer. 606 $aGenerative organs, Female$xPrecancerous conditions 606 $aGenerative organs, Female$xAlternative treatment 608 $aElectronic books. 615 0$aGenerative organs, Female$xPrecancerous conditions. 615 0$aGenerative organs, Female$xAlternative treatment. 676 $a616.99465 700 $aSinger$b Albert$0903337 702 $aKhan$b Ashfaq M. 702 $aArora$b Rupali S. 702 $aBornstein$b Jacob 702 $aChong Quek$b Swee 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910208816803321 996 $aSinger & Monaghan's cervical and lower genital tract precancer$92291341 997 $aUNINA LEADER 04528nam 22007215 450 001 9910552734003321 005 20250326142451.0 010 $a9783662638828 010 $a3662638827 024 7 $a10.1007/978-3-662-63882-8 035 $a(MiAaPQ)EBC6926819 035 $a(Au-PeEL)EBL6926819 035 $a(CKB)21403471900041 035 $a(PPN)261523198 035 $a(DE-He213)978-3-662-63882-8 035 $a(EXLCZ)9921403471900041 100 $a20220315d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRegression $eModels, Methods and Applications /$fby Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian D. Marx 205 $a2nd ed. 2021. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2021. 215 $a1 online resource (757 pages) 300 $aIncludes index. 311 08$aPrint version: Fahrmeir, Ludwig Regression Berlin, Heidelberg : Springer Berlin / Heidelberg,c2022 9783662638811 327 $aIntroduction -- Regression Models -- The Classical Linear Model -- Extensions of the Classical Linear Model -- Generalized Linear Models -- Categorical Regression Models -- Mixed Models -- Nonparametric Regression -- Structured Additive Regression -- Distributional Regression Models. 330 $aNow in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through numerous examples and case studies. The most important definitions and statements are concisely summarized in boxes, and the underlying data sets and code are available online on the book?s dedicated website. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. The chapters address the classical linear model and its extensions, generalized linear models, categorical regression models, mixed models, nonparametric regression, structured additive regression, quantile regression and distributional regression models. Two appendices describe the required matrix algebra, as well as elements of probability calculus and statistical inference. In this substantially revised and updated new edition the overview on regression models has been extended, and now includes the relation between regression models and machine learning, additional details on statistical inference in structured additive regression models have been added and a completely reworked chapter augments the presentation of quantile regression with a comprehensive introduction to distributional regression models. Regularization approaches are now more extensively discussed in most chapters of the book. The book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written at an intermediate mathematical level and assumes only knowledge of basic probability, calculus, matrix algebra and statistics. 606 $aRegression analysis 606 $aStatistics 606 $aQuantitative research 606 $aNonparametric statistics 606 $aMathematical statistics 606 $aStatistics 606 $aLinear Models and Regression 606 $aApplied Statistics 606 $aData Analysis and Big Data 606 $aNon-parametric Inference 606 $aParametric Inference 606 $aStatistical Theory and Methods 615 0$aRegression analysis. 615 0$aStatistics. 615 0$aQuantitative research. 615 0$aNonparametric statistics. 615 0$aMathematical statistics. 615 0$aStatistics. 615 14$aLinear Models and Regression. 615 24$aApplied Statistics. 615 24$aData Analysis and Big Data. 615 24$aNon-parametric Inference. 615 24$aParametric Inference. 615 24$aStatistical Theory and Methods. 676 $a519.536 702 $aFahrmeir$b L. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910552734003321 996 $aRegression$9256290 997 $aUNINA