02409nam0 22005893i 450 VAN0024987020240806101421.471N978303059889120220909d2020 |0itac50 baengCH|||| |||||Statistics for Health Data ScienceAn Organic ApproachRuth Etzioni, Micha Mandel, Roman GulatiChamSpringer2020xxii, 222 p.ill.24 cm001VAN000367912001 Springer texts in statistics210 Berlin [etc.]Springer1985-VAN00249871Statistics for Health Data Science290948062-XXStatistics [MSC 2020]VANC022998MF62P10Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]VANC024649MF62R07Statistical aspects of big data and data science [MSC 2020]VANC026514MFAnalytic methodsKW:KBiostatisticsKW:KData scienceKW:KEpidemiologyKW:KHealth Care DatabasesKW:KHealth Data AnalyticsKW:KHealth EconomicsKW:KHealth OutcomesKW:KHealth ServicesKW:KMachine learningKW:KMedical Claims DataKW:KModelsKW:KPredictionKW:KPredictive ModelingKW:KPublic HealthKW:KRegressionKW:KRiskKW:KStatistical analysisKW:KSurveysKW:KCHChamVANL001889EtzioniRuthVANV2042831065697GulatiRomanVANV2042851254912MandelMichaVANV2042841254913Springer <editore>VANV108073650ITSOL20241115RICAhttp://doi.org/10.1007/978-3-030-59889-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00249870BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 4868 08eMF4868 20220909 Statistics for Health Data Science2909480UNICAMPANIA