A Arias, O A Peters, I L Broyles
New curricular design in biostatistics to prepare residents for an evidence-based practice and lifelong learning education: a pilot approach
International endodontic journal
statistical inference involves drawing scientificallybased conclusions describing natural processes observable phenomena datasets intrinsic random variation parametric nonparametric approaches studying data sampling distributions yet resources available provide integrated views data observed simulated theoretical concepts computational mechanisms handson utilization via flexible graphical user interfaces designed implemented validated new portable randomizationbased statistical inference infrastructure httpsocrumicheduhtml5resamplingwebapp blends researchdriven data analytics interactive learning provides backend computational library managing large amounts simulated userprovided data core framework modern randomization webapp may invoked device supporting javascriptenabled webbrowser demonstrate use resources analyze proportion mean statistics using simulated virtual experiments observed eg acute myocardial infarction job rankings data finally draw parallels parametric inference methods distributionfree alternatives randomization resampling webapp used data analytics well formal inclass informal outoftheclassroom learning teaching different scientific concepts concepts include sampling random variation computational statistical inference datadriven analytics entire scientific community may utilize test expand modify embed resources data sourcecode learning activity webapp without restrictions