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Louise McMillan
Louise McMillan
School of Mathematics and Statistics, Victoria University of Wellington
Verified email at vuw.ac.nz
Title
Cited by
Cited by
Year
Erratum to “Inertial sensor-based knee flexion/extension angle estimation” [J. Biomech. 42 (2009) 2678–2685]
G Cooper, I Sheret, L McMillan, K Siliverdis, N Sha, D Hodgins, L Kenney, ...
Journal of Biomechanics 43 (3), 2010
348*2010
Inertial sensor-based knee flexion/extension angle estimation
G Cooper, I Sheret, L McMillian, K Siliverdis, N Sha, D Hodgins, L Kenney, ...
Journal of Biomechanics 42 (16), 2678-2685, 2009
3482009
Predictors of academic success for Māori, Pacific and non-Māori non-Pacific students in health professional education: a quantitative analysis
E Wikaire, E Curtis, D Cormack, Y Jiang, L McMillan, R Loto, P Reid
Advances in Health Sciences Education 22 (2), 299-326, 2017
362017
Open to critique: predictive effects of academic outcomes from a bridging/foundation programme on first-year degree-level study
E Curtis, E Wikaire, Y Jiang, L McMillan, R Loto, S Fonua, R Herbert, ...
Assessment & Evaluation in Higher Education 42 (1), 151-167, 2017
272017
A tertiary approach to improving equity in health: quantitative analysis of the Māori and Pacific Admission Scheme (MAPAS) process, 2008–2012
E Curtis, E Wikaire, Y Jiang, L McMillan, R Loto, Airini, P Reid
International journal for equity in health 14, 1-15, 2015
272015
Examining the predictors of academic outcomes for indigenous Māori, Pacific and rural students admitted into medicine via two equity pathways: a retrospective observational …
E Curtis, E Wikaire, Y Jiang, L McMillan, R Loto, P Poole, M Barrow, ...
BMJ open 7 (8), e017276, 2017
262017
Patterns of privilege: A total cohort analysis of admission and academic outcomes for Māori, Pacific and non-Māori non-Pacific health professional students
E Wikaire, E Curtis, D Cormack, Y Jiang, L McMillan, R Loto, P Reid
BMC Medical Education 16, 1-15, 2016
252016
Visualizations for genetic assignment analyses using the saddlepoint approximation method
LF McMillan, RM Fewster
Biometrics 73 (3), 1029-1041, 2017
242017
Quantitative analysis of a Māori and Pacific admission process on first-year health study
E Curtis, E Wikaire, Y Jiang, L McMillan, R Loto, Airini, P Reid
BMC Medical Education 15, 1-17, 2015
222015
Genetic Diversity and Connectivity of Southern Right Whales (Eubalaena australis) Found in the Brazil and Chile–Peru Wintering Grounds and the South Georgia …
EL Carroll, PH Ott, LF McMillan, B Galletti Vernazzani, P Neveceralova, ...
Journal of Heredity 111 (3), 263-276, 2020
202020
Airini, & Reid, P.(2015). A tertiary approach to improving equity in health: quantitative analysis of the Māori and Pacific Admission Scheme (MAPAS) process, 2008–2012
E Curtis, E Wikaire, Y Jiang, L McMillan, R Loto
International journal for equity in health 14 (1), 7, 0
12
Testing the feasibility of wireless sensor networks and the use of radio signal strength indicator to track the movements of wild animals
CR Krull, LF McMillan, RM Fewster, R van der Ree, R Pech, T Dennis, ...
Wildlife Research 45 (8), 659-667, 2018
112018
Archetypal analysis for ordinal data
D Fernández, I Epifanio, LF McMillan
Information Sciences 579, 281-292, 2021
72021
Low Information Stock Status Assessment
SJ Holmes, R Arnold, G Clendon, IJ Doonan, CTT Edwards, Z Goeden, ...
Fisheries New Zealand, Tini a Tangaroa, 2020
22020
Goodness-of-Fit and Generalized Estimating Equation Methods for Ordinal Responses Based on the Stereotype Model
D Fernández, L McMillan, R Arnold, M Spiess, I Liu
Stats 5 (2), 507-520, 2022
12022
Four principles for improved statistical ecology
G Popovic, TJ Mason, SM Drobniak, TA Marques, J Potts, R Joo, ...
Methods in Ecology and Evolution 15 (2), 266-281, 2024
2024
Semi-supervised Model-Based Clustering for Ordinal Data
Y Cui, L McMillan, I Liu
Australasian Conference on Data Science and Machine Learning, 34-47, 2023
2023
Row mixture-based clustering with covariates for ordinal responses
K Preedalikit, D Fernández, I Liu, L McMillan, M Nai Ruscone, R Costilla
Computational Statistics, 1-45, 2023
2023
Mixture-based clustering with covariates for ordinal responses
K Preedalikit, D Fernández Martínez, I Liu, L McMillan, M Nai Ruscone, ...
Book of Abstracts SEAS IN 2023, 617-622, 2023
2023
One-dimensional mixture-based clustering for ordinal responses
K Preedalikit, D Fernández Martínez, I Liu, L McMillan, M Nai Ruscone, ...
Book of Abstracts 14th Scientfic Meeting of the Classification and Data …, 2023
2023
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