Adam Ciarleglio

Treatment decisions based on scalar and functional baseline covariates

Eva Petkova, Adam Ciarleglio, R Todd Ogden, 2015, Biometrics.

Constructing treatment decision rules based on scalar and functional predictors when moderators of treatment effect are unknown

Eva Petkova, Adam Ciarleglio, Thaddeus Tarpey, 2018, Journal of the Royal Statistical Society. Series C, Applied statistics.

Wavelet-based scalar-on-function finite mixture regression models

R. Todd Ogden, Adam Ciarleglio, R. Ogden, 2013, Comput. Stat. Data Anal..

Flexible functional regression methods for estimating individualized treatment rules

Eva Petkova, Adam Ciarleglio, R Todd Ogden, 2016, Stat.

Measures of variability and precision in statistics: appreciating, untangling and applying concepts

Adam Ciarleglio, A. Ciarleglio, 2020, BJPsych Advances.

Multiple imputation in functional regression with applications to EEG data in a depression study

Ofer Harel, Eva Petkova, Adam Ciarleglio, 2020 .

Optimising treatment decision rules through generated effect modifiers: a precision medicine tutorial

Eva Petkova, Adam Ciarleglio, Thaddeus Tarpey, 2019, BJPsych open.

Extracting scalar measures from functional data with applications to placebo response.

Eva Petkova, Adam Ciarleglio, Thaddeus Tarpey, 2021, Statistics and its interface.

Higher pretreatment 5‐HT1A receptor binding potential in bipolar disorder depression is associated with treatment remission: A naturalistic treatment pilot PET study

Adam Ciarleglio, R Todd Ogden, Ramin V Parsey, 2013, Synapse.

Statistical analysis plan for stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) study

R. Todd Ogden, Philip Adams, Eva Petkova, 2017, Contemporary clinical trials communications.