MXB343 Modelling Dependent Data

[object Object] {"attributes":{"DGCIF":"Available for cross institutional students - faculty approval required","STBFAC":"Science & Technology UG - Faculty Wide Units","LEW3FAC":"Late Enrolment - Available for enrolment Week 3 - faculty approval required","DGSAF":"Study Abroad / Exchange (UG) - faculty approval required","SCBUNI":"Science & Math UG - Uni Wide Units","DGNAF":"Available for Single Unit students (UG) - faculty approval required"},"study-types":["Cross-institutional study","Single-unit study"],"availabilities":[],"broad-study-area":{"name":"Science","foe":10103},"code":"MXB343","credit-points":12,"fees":[{"csp":"$555","dom":"$3,324","int":"$4,296","year":2024},{"csp":"$578","dom":"$3,528","int":"$4,632","year":2025}],"faculty":{"code":460100,"title-short":"Science","title-full":"Faculty of Science"},"school-discipline":{"code":460900,"title-short":"Mathematical Sci","title-full":"School of Mathematical Sciences"},"unit-requisites":{"pre":"(\nMXB242 or MAB414) and (\nMXB341 or MAB524)"},"sams-version":1,"summer":[],"synopsis":"In many studies, observations can be correlated. For example, we often see temporal lingering effects over time in time series, or genetic effects in litters or repeated measures from patients in medical trials. This unit is about using statistical methodology to achieve efficient inference that appropriately takes into account dependencies in such datasets. Many examples and analysis using software such as R packages are involved.","title-full":"MXB343 Modelling Dependent Data","title-short":"Modelling Dependent Data","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=MXB343&year=2025","prospective":"https://www.qut.edu.au/study/unit?unitCode=MXB343","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=MXB343"},"year":2025,"years":[2024,2025]}