[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_253":254,"_255":256,"_257":-5},"routes/emne.$courseId",{"_9":10},"course",{"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":24,"_25":26,"_27":28,"_29":30},"slug","uio-medfl5130-innforing-i-statistikk-2026-host","name","Innføring i statistikk","code","MEDFL5130","semesterStart",{"_33":34,"_35":36},"institutions",[252],"programmes",[243],"curriculum",[37,38,39],"recommended",[],"availableSemesters",[31],"_type","allvit.curriculum.Course",{"_11":12,"_17":32},{"_33":34,"_35":36},"semester","FALL","year",2026,{"_40":196,"_74":197},{"_40":73,"_74":75},{"_40":41},"original",{"_42":43,"_44":45,"_46":47},"isbn","9780865428713","metadata",{"_48":49,"_50":51,"_52":53,"_54":43,"_55":43,"_56":57,"_58":57,"_59":60,"_61":62,"_63":64,"_65":66},"source","web","authors",[69,70],"available",false,"description","Denne læreboken gir en praktisk og grundig introduksjon til statistiske metoder som brukes i medisinsk forskning. Den dekker grunnleggende temaer og analysemetoder — blant annet deskriptiv statistikk, regresjonsmodeller (lineær og logistisk), overlevelsesanalyse (inkl. Cox-modellen), Poisson-regresjon, meta-analyse og Bayesian statistikk — samt prøvestørrelsesberegning, studiedesign og målefeil. Boken inneholder praktiske eksempler, tabeller og øvingsdata for anvendelse i forskning.","ean","id","image_thumbnail_url","https://covers.openlibrary.org/b/isbn/9780865428713-L.jpg?default=false","image_url","languages",[68],"published_year",2003,"publishers",[67],"title","Essential Medical Statistics, Second Edition","Blackwell Science","en",{"_55":-5,"_13":72},{"_55":-5,"_13":71},"Jonathan A. C. Sterne","Betty R. Kirkwood",{"_42":91,"_44":172},"alternativeAllvitOptions",[76],{"_42":77,"_44":78},"9788205536012",{"_79":80,"_81":82,"_48":83,"_50":84,"_85":51,"_86":87,"_88":89,"_90":91,"_92":84,"_93":94,"_52":95,"_96":97,"_98":99,"_54":77,"_100":101,"_102":103,"_104":51,"_105":106,"_55":77,"_107":108,"_109":110,"_111":112,"_113":51,"_114":115,"_116":117,"_118":119,"_120":121,"_122":123,"_124":125,"_61":126,"_63":127,"_128":129,"_130":131,"_132":133,"_134":135,"_136":137,"_65":138,"_139":140},"actors",[168],"allvit_subjects",[167],[152,153,154,155,156],true,"available_for_ai","available_for_plans",[150,151],"available_text","I salg","based_on_id","9788205507647","bundle_available","bundle_price",829,"Stoffet presenteres på en lett tilgjengelig måte, og fremstillingen er nært knyttet opp til praktiske eksempler. Eksemplene er stort sett inspirert av medisinske problemstillinger som bidrar til å gjøre fremstillingen levende og aktuell, og som ikke krever medisinske forkunnskaper. De mest brukte statistiske tester og metoder er dekket, og det gis også en innføring i videregående temaer som overlevelsesanalyse og logistisk regresjon. Videre gjennomgår forfatterne prinsipper for planlegging av kliniske prøvninger og statistisk analyse i epidemiologi. Se innholdsfortegnelse:","description_rich","

Stoffet presenteres på en lett tilgjengelig måte, og fremstillingen er nært knyttet opp til praktiske eksempler. Eksemplene er stort sett inspirert av medisinske problemstillinger som bidrar til å gjøre fremstillingen levende og aktuell, og som ikke krever medisinske forkunnskaper.
De mest brukte statistiske tester og metoder er dekket, og det gis også en innføring i videregående temaer som overlevelsesanalyse og logistisk regresjon. Videre gjennomgår forfatterne prinsipper for planlegging av kliniske prøvninger og statistisk analyse i epidemiologi.

Se innholdsfortegnelse:

","drm","LCP","edition",1,"format","PDF","free_book","gross_sales_price",505,"languages_no",[149],"medium","DIGITAL","note","1. e-bokutgave tilsvarer 2. trykte utgave 2018","open_access","original_work_id","64c7e6a7-8b42-473c-bbfa-be854bdf42c4","pages",351,"product_form","ED","product_owner","Gyldendal Norsk Forlag AS","product_owner_id","0002","publication_date","2020-06-22",2020,[148],"rental_options",[143],"score","1.0","supply_status_code","20","thema_edu_no",[142],"thema_subject_no",[141],"Statistiske metoder i medisin og helsefag","varegruppe","Matematikk ebøker","Sannsynlighetsberegning og statistikk","Høyere utdanning / høgskole- og universitetsutdanning",{"_144":145,"_146":147},"duration_months",6,"price",334,"Gyldendal","Bokmål","forlag-gyldendal","forlagstilganggnf",{"_55":165,"_13":166},{"_55":163,"_13":164},{"_55":161,"_13":162},{"_55":159,"_13":160},{"_55":157,"_13":158},"689102","Veierød, Marit B.","689101","Skovlund, Eva","689100","Scheel, Ida","689099","Moger, Tron Anders","689098","Frigessi, Arnoldo","Matematikk og naturvitenskap",{"_13":169,"_170":171},"Aalen, Odd O.","role","Redaktør",{"_79":173,"_81":174,"_48":175,"_50":51,"_85":51,"_92":84,"_52":95,"_96":97,"_54":91,"_100":176,"_104":51,"_105":177,"_55":91,"_107":178,"_109":179,"_111":180,"_113":51,"_114":115,"_116":117,"_118":181,"_120":121,"_122":123,"_124":182,"_61":183,"_63":184,"_130":131,"_132":185,"_134":186,"_136":187,"_65":138,"_139":188},[195],[167],[190,191,192,193,194],2,729,[149],"PHYSICAL","2. trykte utgave tilsvarer 1. e-bokutgave 2020","BC","2018-01-09",2018,[189],"21",[142],[141],"Matematikk","Gyldendal akademisk",{"_55":165,"_13":166},{"_55":163,"_13":164},{"_55":161,"_13":162},{"_55":159,"_13":160},{"_55":157,"_13":158},{"_13":169,"_170":171},{"_42":204,"_44":229},[198],{"_42":199,"_44":200},"9788205548572",{"_79":201,"_81":202,"_50":84,"_85":51,"_86":203,"_88":89,"_90":204,"_92":84,"_93":205,"_52":206,"_96":207,"_98":99,"_54":199,"_100":101,"_102":103,"_104":51,"_105":208,"_55":199,"_107":209,"_109":110,"_111":210,"_113":51,"_114":211,"_116":212,"_118":119,"_120":121,"_122":123,"_124":213,"_61":126,"_63":214,"_128":215,"_130":131,"_132":133,"_134":216,"_136":217,"_65":218,"_139":219},[224,225,226],[223],[150,151],"9788205399594",1039,"During the recent years, there has been a huge increase in the use of advanced statistical methods in clinical and epidemiological research. Many researchers need an understanding of statistics beyond what is covered in introductory courses. This book is intended as a course textbook in clinical and epidemiological research, as well as a reference book for students or working professionals in health sciences. It gives an in-depth and up-to-date coverage of the areas of statistics which are relevant at the PhD level in clinical and epidemiological research. The book consists of twenty chapters written by twenty-nine authors, all experts in their fields. Each chapter is self-contained and may be read independently according to the needs of the reader. The editors, Marit B. Veierød, Stian Lydersen and Petter Laake, all Professors of Medical Statistics, have extensive experience from teaching medical statistics at the Master and PhD levels, and from clinical and epidemiological research projects. The tables and figures in the book are available for downloading for educational use from the book's website, . NOTE: Please note that purchases from outside Norway have to be made from this website: . Contents: 1. Design and analysis (Marit B. Veierød, Stian Lydersen and Petter Laake) 2. Categorical data and contingency tables (Stian Lydersen, Morten W. Fagerland and Petter Laake) 3. Logistic regression (David W. Hosmer and Stanley Lemeshow) 4. Linear regression (Morten W. Fagerland, Geir Egil Eide and Petter Laake) 5. Survival analysis (Odd O. Aalen and Marianne Riksheim) 6. Poisson regression (Sven Ove Samuelsen and Marit B. Veierød) 7. Mixed models (Magne Thoresen and Håkon K. Gjessing) 8. Longitudinal analysis (Magne Thoresen) 9. Generalized linear latent and mixed models (Anders Skrondal and Sophia Rabe-Hesketh) 10. Measurement error (John P. Buonaccorsi) 11. Power and sample size (Michael Væth, Morten Frydenberg and Geir Egil Eide) 12. Bootstrapping (Geir Storvik) 13. Missing data (Jan F. Bjørnstad and Stian Lydersen) 14. Diagnostic tests, ROC curves, and measurements of agreement (Stian Lydersen) 15. Causual inference (Jon Michael Gran, Hein Stigum, Siri Eldevik Håberg and Odd O. Aalen) 16. Attributable fractions (Geir Egil Eide and Olaf Gefeller) 17. Bayesian methods (Geir Storvik) 18. Statistical methods in genetics (Magnus Dehli Vigeland, Kaja Kristine Selmer and Thore Egeland) 19. Analysis of microarray data (Einar Andreas Rødland and Ole Christian Lingjærde) 20. Meta-analysis (Karim F. Hirji, Morten W. Fagerland and Marit B. Veierød) \"Denne boken er ingen innføringsbok i medisinsk statistikk, men en bok for ph.d.-studenter og forskere med god bakgrunnskunnskap i statistikk som ønsker en bred oversikt over metoder som brukes i dagens forskning.\" Les hele . Boken er anmeldt i Statistics in Medicine. Les hele .","

During the recent years, there has been a huge increase in the use of advanced statistical methods in clinical and epidemiological research. Many researchers need an understanding of statistics beyond what is covered in introductory courses.

This book is intended as a course textbook in clinical and epidemiological research, as well as a reference book for students or working professionals in health sciences. It gives an in-depth and up-to-date coverage of the areas of statistics which are relevant at the PhD level in clinical and epidemiological research.

The book consists of twenty chapters written by twenty-nine authors, all experts in their fields. Each chapter is self-contained and may be read independently according to the needs of the reader.

The editors, Marit B. Veierød, Stian Lydersen and Petter Laake, all Professors of Medical Statistics, have extensive experience from teaching medical statistics at the Master and PhD levels, and from clinical and epidemiological research projects.

The tables and figures in the book are available for downloading for educational use from the book's website, .

NOTE: Please note that purchases from outside Norway have to be made from this website: .

Contents:

1. Design and analysis (Marit B. Veierød, Stian Lydersen and Petter Laake)

2. Categorical data and contingency tables

(Stian Lydersen, Morten W. Fagerland and Petter Laake)

3. Logistic regression (David W. Hosmer and Stanley Lemeshow)

4. Linear regression (Morten W. Fagerland, Geir Egil Eide and Petter Laake)

5. Survival analysis (Odd O. Aalen and Marianne Riksheim)

6. Poisson regression (Sven Ove Samuelsen and Marit B. Veierød)

7. Mixed models (Magne Thoresen and Håkon K. Gjessing)

8. Longitudinal analysis (Magne Thoresen)

9. Generalized linear latent and mixed models

(Anders Skrondal and Sophia Rabe-Hesketh)

10. Measurement error (John P. Buonaccorsi)

11. Power and sample size (Michael Væth, Morten Frydenberg and Geir Egil Eide)

12. Bootstrapping (Geir Storvik)

13. Missing data (Jan F. Bjørnstad and Stian Lydersen)

14. Diagnostic tests, ROC curves, and measurements of agreement (Stian Lydersen)

15. Causual inference

(Jon Michael Gran, Hein Stigum, Siri Eldevik Håberg and Odd O. Aalen)

16. Attributable fractions (Geir Egil Eide and Olaf Gefeller)

17. Bayesian methods (Geir Storvik)

18. Statistical methods in genetics

(Magnus Dehli Vigeland, Kaja Kristine Selmer and Thore Egeland)

19. Analysis of microarray data (Einar Andreas Rødland and Ole Christian Lingjærde)

20. Meta-analysis (Karim F. Hirji, Morten W. Fagerland and Marit B. Veierød)

\"Denne boken er ingen innføringsbok i medisinsk statistikk, men en bok for ph.d.-studenter og forskere med god bakgrunnskunnskap i statistikk som ønsker en bred oversikt over metoder som brukes i dagens forskning.\" Les hele .

Boken er anmeldt i Statistics in Medicine. Les hele .

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