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Dr Kristen Hunter

Dr Kristen Hunter

Lecturer
  • Ph.D in Statistics, Harvard University (2022)
  • B.A. in Statistics, Harvard University (2012)
Science
School of Mathematics & Statistics

Lecturer in Statistics and Data Science.

I am an applied and methodological statistician with particular expertise in causal inference.听 I am actively seeking collaborative projects related to environmental policy and climate change.

Personal website:听
E-mail
kristen.hunter@unsw.edu.au
Location
School of Mathematics and Statistics 黑料网大事记 Sydney NSW 2052 The Red Centre Room 2074
  • Journal articles | 2024
    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,
    Journal articles | 2024
    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,
    Journal articles | 2022
    Hunter KB; Glickman ME; Campos LF, 2022, 'Inferring medication adherence from time-varying health measures', Statistics in Medicine, 41, pp. 2205 - 2226,
    Journal articles | 2021
    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,
  • Preprints | 2022
    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, ,
    Preprints | 2021
    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,
    Preprints | 2021
    Hunter KB; Glickman ME; Campos LF, 2021, Inferring medication adherence from time-varying health measures,
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