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In the [[design of experiments]], '''consecutive sampling''', also known as '''total enumerative sampling''',<ref name="Suresh2014">{{cite book|last1=Suresh|first1=Sharma|title=Nursing Research and Statistics|date=2014|publisher=Elsevier Health Sciences|isbn=9788131237861|page=224|url=https://books.google.com/books?id=9RyMBgAAQBAJ&dq=%22consecutive+sampling%22&pg=PA224|accessdate=29 September 2017|language=en}}</ref> is a sampling technique in which every subject meeting the criteria of inclusion is selected until the required sample size is achieved.<ref name="Schuster2005">{{cite book|last1=Schuster|first1=Daniel P.|last2=Powers (MD.)|first2=William J.|title=Translational and Experimental Clinical
Care needs to be taken with consecutive sampling, however, in the case that the quantity of interest has temporal or seasonal trends.<ref name="Schuster2005" /> Bias can also occur in consecutive sampling when consecutive samples have some common similarity, such as consecutive houses on a street.<ref name="Indrayan2016">{{cite book|last1=Indrayan|first1=Abhaya|last2=Holt|first2=Martin P.|title=Concise Encyclopedia of Biostatistics for Medical Professionals|date=2016|publisher=CRC Press|isbn=9781315355573|url=https://books.google.com/books?id=p-GVDQAAQBAJ&dq=%22consecutive+sampling%22&pg=PT286|accessdate=29 September 2017|language=en}}</ref>
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