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10 TIMEPLAN KURS ANALYSE AV REGISTERDATA I FORSKNING Mandag 31. mars Kl Tittel Foredragsholder Registrering og kaffe Velkommen Crashkurs i epidemiologi Bjarne Koster Jacobsen Crashkurs i statistikk Lena Ringstad Olsen Alexander Walnum Lunsj Registerdata vs. RCT Foreleser forespurt Multippel testing Ellinor Ytterstad Pause med kake/frukt Sentrale registre styrker, svakheter, koblingsmuligheter Martha Ebbing forespurt, evt en annen fra ett av de store registrene Sentrale registre styrker, svakheter, koblingsmuligheter Martha Ebbing forespurt, evt en annen fra ett av de store registrene Tirsdag 1. april Time 1. Innføring i DAGs, kasualitet og kausal inferens i forbindelse med det Time 2. Innføring i DAGs, kasualitet og kausal inferens i forbindelse med det Time 3. Innføring i DAGs, kasualitet og kausal inferens i forbindelse med det Odd O Aalen Odd O Aalen Odd O Aalen Lunsj Nationella diabetesregisteret Erfaringer fra et nasjonalt register under utvikling Nationella diabetesregisteret Erfaringer fra et nasjonalt register under utvikling Soffía Guðbjörnsdóttir forespurt Soffía Guðbjörnsdóttir forespurt Pause med kake/frukt

11 Propensity score Trond Moger forespurt Stratifisering og justering Trond Moger forespurt Onsdag 2. april Swedeheart registry Eksempler på registerdata brukt i forskning Swedeheart registry Eksempler på registerdata brukt i forskning Stefan James forespurt Stefan James forespurt Juridisk regulering av helseregistre Heidi Talsethagen Lunsj Publisering av effektevaluering Mette Kalager basert på registerdata PROM pasientrapporterte utfall Foreleser fra SKDE Pause med kake/frukt PROM pasientrapporterte utfall Foreleser fra SKDE Taffelforelesning: Fornuftig bruk av registerdata Olav Helge Førde forespurt Informasjon om eksamen

12 LITTERATURLISTE Senter for klinisk dokumentasjon og evaluering: Håndbok for medisinske kvalitetsregistre. Tromsø: SKDE, (31 sider) Cole SR, Hernàn MA (2002). Fallibility in estimating direct effects. International Journal of Epidemiology; 31: (3 sider) Greenland S, Pearl J, Robins JM (1999). Causal Diagrams for Epidemiologic Research. Epidemiology 10:37-48 (13 sider) Miguel A. Hernán, Sonia Hernández-Díaz, Martha M.Werler et al. (2002) Causal Knowledge as a Prerequisite for Confounding Evaluation: An Application to Birth Defects Epidemiology. American Journal of Epidemiology 155: (9 sider) Theis Lange, Jørgen V. Hansen (2011). Direct and Indirect Effects in a Survival Context. Epidemiology 22: (7 sider) Currie CJ, Poole CD, Gale EA (2009). The influence of glucose-lowering therapies on cancer risk in type 2 diabetes. Diabetologia 52: (11 sider) Jonasson JM, Ljung R, Talback M, Haglund B, Gudbjornsdottir S, Steineck G (2009). Insulin glargine use and short-term incidence of malignancies-a population-based follow-up study in Sweden. Diabetologia 52: (10 sider) Ralph B D Agostino jr.(1998) Tutorial in biostatics propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine 17: (17 sider) Ole Fröbert, Bo Lagerqvist, Thórarinn Gudnason et al. (2010). Thrombus Aspiration in ST- Elevation myocardial infarction in Scandinavia (TASTE trial). A multicenter, prospective, randomized, controlled clinical registry trial based on the Swedish angiography and angioplasty registry (SCAAR) platform. Study design and rationale. American Heart Journal 160: (7 sider) Ole Fröbert, Bo Lagerqvist, Martin Kreutzer, et al. (2010) Thrombus aspiration in STelevation myocardial infarction in Sweden. A short report on real world outcome. American Heart Journal 160: (2 sider) Tone Svilaas, Pieter J. Vlaar, Iwan C. van der Horst et al. (2008)Thrombus Aspiration during Primary Percutaneous Coronary Intervention. The New England Journal of Medicine 358: (11 sider) Pieter J Vlaar, Tone Svilaas, Iwan C van der Horst et al. (2008). Cardiac death and reinfarction after 1 year in the Thrombus Aspiration during Percutaneous coronary intervention in Acute myocardial infarction Study (TAPAS): a 1-year follow-up study. Lancet 371: (6 sider)

13 Storey JD (2010). False discovery rates. In: International Encyclopedia of Statistical Science, Lovric M (editor). (7 sider) Storey JD and Tibshirani R (2003). Statistical significance for genome-wide studies. Proceedings of the National Academy of Sciences, 100: (6 sider) Gerstman B. Stratified Analysis: Introduction to Confounding and Interaction. StatPrimer (Version 6.4) (13 sider). Kalager M, Zelen M, Langmark F, Adami HO (2010). Effect of screening mammography on breast-cancer mortality in Norway. New England Journal of Medicine 363: (8 sider). Mamdani M, Sykora K, Li P, Normand SL, Streiner DL, Austin PC, et al. Reader's guide to critical appraisal of cohort studies: 2. Assessing potential for confounding. BMJ 2005 Apr 23;330(7497): (3 sider) von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP (2008) STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 61: (6 sider)