By Dr Kristen Hunter

Journal articles

Hunter KB; Koenig K; Bind M-A, 2025, 'Conceptualizing Experimental Controls Using the Potential Outcomes Framework', AMERICAN STATISTICIAN, http://dx.doi.org/10.1080/00031305.2025.2554756

Hunter K; Miratrix L; Porter K, 2024, 'PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments', Journal of Statistical Software, 108, pp. 1 - 43, http://dx.doi.org/10.18637/jss.v108.i06

Macintosh A; Evans MC; Butler D; Larraondo P; Edirisinghe C; Hunter KB; Evans MJ; Ansell D; Waschka M; Lindenmayer D, 2024, 'Non-compliance and under-performance in Australian human-induced regeneration projects', The Rangeland Journal, 46, http://dx.doi.org/10.1071/rj24024

Hunter KB; Glickman ME; Campos LF, 2022, 'Inferring medication adherence from time-varying health measures', Statistics in Medicine, 41, pp. 2205 - 2226, http://dx.doi.org/10.1002/sim.9351

Campos LF; Glickman ME; Hunter KB, 2021, 'Measuring effects of medication adherence on time-varying health outcomes using Bayesian dynamic linear models', BIOSTATISTICS, 22, pp. 662 - 683, http://dx.doi.org/10.1093/biostatistics/kxz059

Preprints

Pashley NE; Hunter KB; McKeough K; Rubin DB; Dasgupta T, 2022, Causal inference from treatment-control studies having an additional factor with unknown assignment mechanism, http://arxiv.org/abs/2202.03533v1

Hunter K; Miratrix L; Porter K, 2021, Power Under Multiplicity Project (PUMP): Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-level Experiments, http://arxiv.org/abs/2112.15273v3

Hunter KB; Glickman ME; Campos LF, 2021, Inferring medication adherence from time-varying health measures, http://arxiv.org/abs/2104.11651v1

Hunter KB; Koenig K; Bind M-A, 2021, Conceptualizing experimental controls using the potential outcomes framework, http://arxiv.org/abs/2104.10302v1

Campos LF; Glickman ME; Hunter KB, 2018, Measuring Effects of Medication Adherence on Time-Varying Health Outcomes using Bayesian Dynamic Linear Models, http://dx.doi.org/10.48550/arxiv.1811.11072

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