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Showing 25 course outlines from 4478 matches
3501
STATS 768
: Longitudinal Data Analysis2024 Semester Two (1245)
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 ENGSCI 314, STATS 201, 207, 208, 210, 707
3502
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
3503
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
3504
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
3505
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
3506
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
3507
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
3508
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
3509
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
3510
STATS 769
: Advanced Data Science Practice2020 Semester Two (1205)
Databases, SQL, scripting, distributed computation, other data technologies.
No pre-requisites or restrictions
3511
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
3512
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
3513
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
3514
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
3515
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
3516
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
3517
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
3518
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
3519
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
3520
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
3521
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
3522
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
3523
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
3524
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
3525
STATS 776
: Topics in Environmental and Ecological Statistics2020 Semester One (1203)
No pre-requisites or restrictions
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