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Primer on Statistics for Interventional Cardiologists Giuseppe Sangiorgi, MD Pierfrancesco Agostoni, MD Giuseppe Biondi-

Primer on Statistics for Interventional Cardiologists Giuseppe Sangiorgi, MD Pierfrancesco Agostoni, MD Giuseppe Biondi-Zoccai, MD. What you will learn. Introduction Basics Descriptive statistics Probability distributions Inferential statistics

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Primer on Statistics for Interventional Cardiologists Giuseppe Sangiorgi, MD Pierfrancesco Agostoni, MD Giuseppe Biondi-

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  1. Primer on Statistics for Interventional CardiologistsGiuseppe Sangiorgi, MDPierfrancesco Agostoni, MDGiuseppe Biondi-Zoccai, MD

  2. What you will learn • Introduction • Basics • Descriptive statistics • Probability distributions • Inferential statistics • Finding differences in mean between two groups • Finding differences in mean between more than 2 groups • Linear regression and correlation for bivariate analysis • Analysis of categorical data (contingency tables) • Analysis of time-to-event data (survival analysis) • Advanced statistics at a glance • Conclusions and take home messages

  3. There are only 10 attitudes towards binary numbers: There are only 10 attitudes towards biostatistics:

  4. There are only 10 attitudes towards binary numbers: either you understand them or not There are only 10 attitudes towards biostatistics: either you practice it or you ignore it

  5. Statistics is just like PCI • Nobody was accomplished and quick the first time he took a guiding (or even diagnostic!) catheter in hand: now look at yourself and what you have done in interventional cardiology! • Keep on criss-crossing between published papers, your own data, your own analyses and chit-chat with colleagues or (even would-be) expert: it helps a lot on the long-term • Keep focused and work on what you like and what you need

  6. Helpful websites • http://faculty.vassar.edu/lowry/anova1u.html: I use it routinely to do ANOVA online • http://home.clara.net/sisa/index.htm: thorough but easy going, focused on analyses and sample size computations • http://members.aol.com/johnp71/javastat.html: with many useful links for statistical analyses and sample size computations • http://www.cdc.gov: provides Epi-Info and StatCalc freewares • http://www.metcardio.org: for those with a specific interest in meta-analyses • http://www.quantitativeskills.com/sisa/statistics/twoby2.htm: I use it routinely to do chi-square and Fisher exact tests online • http://www.randomization.com: ideal to create your own randomization lists • http://www.resample.com/content/software/excel/download.shtml: provides tools for home-made resampling analyses • http://www.virtualstatistician.com/link-63.html: very comprehensive, sometimes too focused on methods and dry

  7. Softwares • Freewares: • Epi-Info • R • RevMan • Proprietarysoftwares: • BMDP • LogXact • Minitab • S-Plus • SAS: mostcomprehensive and complex • SPSS: user-friendlybutratherrigid (nonethelessour 1stchoice) • STATA: high-qualitygraphs, top-notchformeta-analysis • Statistica • StatsDirect • StatXact

  8. Thank you for your attentionFor any correspondence: gbiondizoccai@gmail.comFor further slides on these topics feel free to visit the metcardio.org website:http://www.metcardio.org/slides.html

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