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

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Presentation transcript:

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 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

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

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

Statistics is just like PCI 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 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 focused and work on what you like and what you need

Helpful websites I use it routinely to do ANOVA onlinehttp://faculty.vassar.edu/lowry/anova1u.html thorough but easy going, focused on analyses and sample size computationshttp://home.clara.net/sisa/index.htm with many useful links for statistical analyses and sample size computationshttp://members.aol.com/johnp71/javastat.html provides Epi-Info and StatCalc freewareshttp:// for those with a specific interest in meta- analyseshttp:// I use it routinely to do chi-square and Fisher exact tests onlinehttp:// ideal to create your own randomization listshttp:// provides tools for home-made resampling analyseshttp:// very comprehensive, sometimes too focused on methods and dryhttp://

Softwares Freewares: Epi-Info R RevMan Proprietary softwares: BMDP LogXact Minitab S-Plus SAS: most comprehensive and complex SPSS: user-friendly but rather rigid (nonetheless our 1 st choice) STATA: high-quality graphs, top-notch for meta-analysis Statistica StatsDirect StatXact

Thank you for your attention For any correspondence: For further slides on these topics feel free to visit the metcardio.org website: