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Showing 25 course outlines from 4499 matches
3526
STATS 768
: Longitudinal Data Analysis2023 Semester Two (1235)
Exploration and regression modelling of longitudinal and clustered data, especially in the health sciences: mixed models, marginal models, dropout, causal inference.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 210, 707
3527
STATS 768
: Longitudinal Data Analysis2021 Semester Two (1215)
Exploration and regression modelling of longitudinal and clustered data, especially in the health sciences: mixed models, marginal models, dropout, causal inference.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 210, 707
3528
STATS 768
: Longitudinal Data Analysis2020 Semester Two (1205)
Exploration and regression modelling of longitudinal and clustered data, especially in the health sciences: mixed models, marginal models, dropout, causal inference.
No pre-requisites or restrictions
3529
STATS 769
: Advanced Data Science Practice2025 Semester Two (1255)
Databases, SQL, scripting, distributed computation, other data technologies.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from ENGSCI 314, STATS 201, 207, 208, 707
3530
STATS 769
: Advanced Data Science Practice2024 Semester Two (1245)
Databases, SQL, scripting, distributed computation, other data technologies.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from ENGSCI 314, STATS 201, 207, 208, 707
3531
STATS 769
: Advanced Data Science Practice2023 Semester Two (1235)
Databases, SQL, scripting, distributed computation, other data technologies.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3532
STATS 769
: Advanced Data Science Practice2022 Semester Two (1225)
Databases, SQL, scripting, distributed computation, other data technologies.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3533
STATS 769
: Advanced Data Science Practice2021 Semester Two (1215)
Databases, SQL, scripting, distributed computation, other data technologies.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3534
STATS 769
: Advanced Data Science Practice2020 Semester Two (1205)
Databases, SQL, scripting, distributed computation, other data technologies.
No pre-requisites or restrictions
3535
STATS 770
: Introduction to Medical Statistics2025 Semester One (1253)
An introduction to ideas of importance in medical statistics, such as measures of risk, basic types of medical study, causation, ethical issues and censoring, together with a review of common methodologies.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3536
STATS 770
: Introduction to Medical Statistics2024 Semester One (1243)
An introduction to ideas of importance in medical statistics, such as measures of risk, basic types of medical study, causation, ethical issues and censoring, together with a review of common methodologies.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3537
STATS 770
: Introduction to Medical Statistics2023 Semester One (1233)
An introduction to ideas of importance in medical statistics, such as measures of risk, basic types of medical study, causation, ethical issues and censoring, together with a review of common methodologies.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3538
STATS 770
: Introduction to Medical Statistics2022 Semester Two (1225)
An introduction to ideas of importance in medical statistics, such as measures of risk, basic types of medical study, causation, ethical issues and censoring, together with a review of common methodologies.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3539
STATS 770
: Introduction to Medical Statistics2021 Semester Two (1215)
An introduction to ideas of importance in medical statistics, such as measures of risk, basic types of medical study, causation, ethical issues and censoring, together with a review of common methodologies.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3540
STATS 770
: Introduction to Medical Statistics2020 Semester One (1203)
An introduction to ideas of importance in medical statistics, such as measures of risk, basic types of medical study, causation, ethical issues and censoring, together with a review of common methodologies.
No pre-requisites or restrictions
3541
STATS 773
: Design and Analysis of Clinical Trials2025 Semester One (1253)
The theory and practice of clinical trials, including: design issues, data management, common analysis methodologies, intention to treat, compliance, interim analyses and ethical considerations.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208, 707
3542
STATS 773
: Design and Analysis of Clinical Trials2023 Semester Two (1235)
The theory and practice of clinical trials, including: design issues, data management, common analysis methodologies, intention to treat, compliance, interim analyses and ethical considerations.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3543
STATS 773
: Design and Analysis of Clinical Trials2022 Semester Two (1225)
The theory and practice of clinical trials, including: design issues, data management, common analysis methodologies, intention to treat, compliance, interim analyses and ethical considerations.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3544
STATS 776
: Estimating Animal Abundance2025 Semester One (1253)
Fundamentals of the statistical methods that underly capture-recapture, distance sampling and occupancy analysis, focusing on the critical role that p, the probability of detection, plays in estimating n, the number of animals, or psi, the probability of species presence. Extensions to these fundamental tools including spatially explicit, genetic, and hierarchical methods will be covered.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208, 707
3545
STATS 776
: Estimating Animal Abundance2024 Semester One (1243)
Fundamentals of the statistical methods that underly capture-recapture, distance sampling and occupancy analysis, focusing on the critical role that p, the probability of detection, plays in estimating n, the number of animals, or psi, the probability of species presence. Extensions to these fundamental tools including spatially explicit, genetic, and hierarchical methods will be covered.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208, 707
3546
STATS 776
: Estimating Animal Abundance2023 Semester One (1233)
Fundamentals of the statistical methods that underly capture-recapture, distance sampling and occupancy analysis, focusing on the critical role that p, the probability of detection, plays in estimating n, the number of animals, or psi, the probability of species presence. Extensions to these fundamental tools including spatially explicit, genetic, and hierarchical methods will be covered.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3547
STATS 776
: Estimating Animal Abundance2022 Semester One (1223)
Fundamentals of the statistical methods that underly capture-recapture, distance sampling and occupancy analysis, focusing on the critical role that p, the probability of detection, plays in estimating n, the number of animals, or psi, the probability of species presence. Extensions to these fundamental tools including spatially explicit, genetic, and hierarchical methods will be covered.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3548
STATS 776
: Estimating Animal Abundance2021 Semester One (1213)
Fundamentals of the statistical methods that underly capture-recapture, distance sampling and occupancy analysis, focusing on the critical role that p, the probability of detection, plays in estimating n, the number of animals, or psi, the probability of species presence. Extensions to these fundamental tools including spatially explicit, genetic, and hierarchical methods will be covered.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3549
STATS 776
: Topics in Environmental and Ecological Statistics2020 Semester One (1203)
No pre-requisites or restrictions
3550
STATS 779
: Professional Skills for Statisticians2025 Semester One (1253)
Statistical software, data management, data integrity, data transfer, file processing, symbolic manipulation, document design and presentation, oral presentation, professional ethics.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
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