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Showing 25 course outlines from 4478 matches

3501

STATS 768

: Longitudinal Data Analysis
2024 Semester Two (1245)
Exploration and regression modelling of longitudinal and clustered data, especially in the health sciences: mixed models, marginal models, dropout, causal inference.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208, 210, 707
3502

STATS 768

: Longitudinal Data Analysis
2023 Semester Two (1235)
Exploration and regression modelling of longitudinal and clustered data, especially in the health sciences: mixed models, marginal models, dropout, causal inference.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 210, 707
3503

STATS 768

: Longitudinal Data Analysis
2021 Semester Two (1215)
Exploration and regression modelling of longitudinal and clustered data, especially in the health sciences: mixed models, marginal models, dropout, causal inference.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 210, 707
3504

STATS 768

: Longitudinal Data Analysis
2020 Semester Two (1205)
Exploration and regression modelling of longitudinal and clustered data, especially in the health sciences: mixed models, marginal models, dropout, causal inference.
Subject: Statistics
No pre-requisites or restrictions
3505

STATS 769

: Advanced Data Science Practice
2025 Semester Two (1255)
Databases, SQL, scripting, distributed computation, other data technologies.
Subject: Statistics
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 Practice
2024 Semester Two (1245)
Databases, SQL, scripting, distributed computation, other data technologies.
Subject: Statistics
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 Practice
2023 Semester Two (1235)
Databases, SQL, scripting, distributed computation, other data technologies.
Subject: Statistics
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 Practice
2022 Semester Two (1225)
Databases, SQL, scripting, distributed computation, other data technologies.
Subject: Statistics
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 Practice
2021 Semester Two (1215)
Databases, SQL, scripting, distributed computation, other data technologies.
Subject: Statistics
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 Practice
2020 Semester Two (1205)
Databases, SQL, scripting, distributed computation, other data technologies.
Subject: Statistics
No pre-requisites or restrictions
3511

STATS 770

: Introduction to Medical Statistics
2025 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.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3512

STATS 770

: Introduction to Medical Statistics
2024 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.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3513

STATS 770

: Introduction to Medical Statistics
2023 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.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3514

STATS 770

: Introduction to Medical Statistics
2022 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.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3515

STATS 770

: Introduction to Medical Statistics
2021 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.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
3516

STATS 770

: Introduction to Medical Statistics
2020 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.
Subject: Statistics
No pre-requisites or restrictions
3517

STATS 773

: Design and Analysis of Clinical Trials
2025 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.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208, 707
3518

STATS 773

: Design and Analysis of Clinical Trials
2023 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.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3519

STATS 773

: Design and Analysis of Clinical Trials
2022 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.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3520

STATS 776

: Estimating Animal Abundance
2025 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.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208, 707
3521

STATS 776

: Estimating Animal Abundance
2024 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.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 207, 208, 707
3522

STATS 776

: Estimating Animal Abundance
2023 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.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3523

STATS 776

: Estimating Animal Abundance
2022 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.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3524

STATS 776

: Estimating Animal Abundance
2021 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.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
3525

STATS 776

: Topics in Environmental and Ecological Statistics
2020 Semester One (1203)
Subject: Statistics
No pre-requisites or restrictions