John J Heilmann, Andrea Bertone, Alyssa Wojtyna
How Inclusive Practice Increases the Educational Relevance of Individualized Education Programs
Language, speech, and hearing services in schools
highdimensional data hdd settings number variables associated observation large prominent examples hdd biomedical research include omics data large number variables many measurements across genome proteome metabolome well electronic health records data large numbers variables recorded patient statistical analysis data requires knowledge experience sometimes complex methods adapted respective research questions advances statistical methodology machine learning methods offer new opportunities innovative analyses hdd time require deeper understanding fundamental statistical concepts topic group tg9 highdimensional data stratos strengthening analytical thinking observational studies initiative provides guidance analysis observational studies addressing particular statistical challenges opportunities analysis studies involving hdd overview discuss key aspects hdd analysis provide gentle introduction nonstatisticians classically trained statisticians little experience specific hdd paper organized respect subtopics relevant analysis hdd particular initial data analysis exploratory data analysis multiple testing prediction subtopic main analytical goals hdd settings outlined goals basic explanations commonly used analysis methods provided situations identified traditional statistical methods cannot used hdd setting adequate analytic tools still lacking many key references provided review aims provide solid statistical foundation researchers including statisticians nonstatisticians new research hdd simply want better evaluate understand results hdd analyses