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Items: 20

1.

An efficient algorithm for estimating brain covariance networks.

Cespedes MI, McGree J, Drovandi CC, Mengersen K, Doecke JD, Fripp J; Alzheimer’s Disease Neuroimaging Initiative.

PLoS One. 2018 Jul 12;13(7):e0198583. doi: 10.1371/journal.pone.0198583. eCollection 2018.

PMID:
30001336
2.

The impact of environmental temperature deception on perceived exertion during fixed-intensity exercise in the heat in trained-cyclists.

Borg DN, Stewart IB, Costello JT, Drovandi CC, Minett GM.

Physiol Behav. 2018 Jun 19;194:333-340. doi: 10.1016/j.physbeh.2018.06.026. [Epub ahead of print]

PMID:
29933029
3.

Joint-level energetics differentiate isoinertial from speed-power resistance training-a Bayesian analysis.

Liew BXW, Drovandi CC, Clifford S, Keogh JWL, Morris S, Netto K.

PeerJ. 2018 Apr 12;6:e4620. doi: 10.7717/peerj.4620. eCollection 2018.

4.

Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology.

Lawson BAJ, Drovandi CC, Cusimano N, Burrage P, Rodriguez B, Burrage K.

Sci Adv. 2018 Jan 10;4(1):e1701676. doi: 10.1126/sciadv.1701676. eCollection 2018 Jan.

5.

Principles of Experimental Design for Big Data Analysis.

Drovandi CC, Holmes C, McGree JM, Mengersen K, Richardson S, Ryan EG.

Stat Sci. 2017 Aug;32(3):385-404. doi: 10.1214/16-STS604.

6.

Modelling environmental drivers of black band disease outbreaks in populations of foliose corals in the genus Montipora.

Chen CCM, Bourne DG, Drovandi CC, Mengersen K, Willis BL, Caley MJ, Sato Y.

PeerJ. 2017 Jun 12;5:e3438. doi: 10.7717/peerj.3438. eCollection 2017.

7.

Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference.

Cespedes MI, Fripp J, McGree JM, Drovandi CC, Mengersen K, Doecke JD.

BMJ Open. 2017 Feb 7;7(2):e012174. doi: 10.1136/bmjopen-2016-012174.

8.

Bayesian adaptive design: improving the effectiveness of monitoring of the Great Barrier Reef.

Kang SY, McGree JM, Drovandi CC, Caley MJ, Mengersen KL.

Ecol Appl. 2016 Dec;26(8):2635-2646. doi: 10.1002/eap.1409. Epub 2016 Nov 8.

PMID:
27862584
9.

Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments.

Drovandi CC, Cusimano N, Psaltis S, Lawson BA, Pettitt AN, Burrage P, Burrage K.

J R Soc Interface. 2016 Aug;13(121). pii: 20160214. doi: 10.1098/rsif.2016.0214.

10.

Developmental Trends in the Energy Cost of Physical Activities Performed by Youth.

Trost SG, Drovandi CC, Pfeiffer K.

J Phys Act Health. 2016 Jun;13(6 Suppl 1):S35-40. doi: 10.1123/jpah.2015-0723.

PMID:
27392376
11.

Bayesian Estimation of Small Effects in Exercise and Sports Science.

Mengersen KL, Drovandi CC, Robert CP, Pyne DB, Gore CJ.

PLoS One. 2016 Apr 13;11(4):e0147311. doi: 10.1371/journal.pone.0147311. eCollection 2016.

12.

Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation.

Vo BN, Drovandi CC, Pettitt AN, Pettet GJ.

PLoS Comput Biol. 2015 Dec 7;11(12):e1004635. doi: 10.1371/journal.pcbi.1004635. eCollection 2015 Dec.

13.

Alive SMC(2) : Bayesian model selection for low-count time series models with intractable likelihoods.

Drovandi CC, McCutchan RA.

Biometrics. 2016 Jun;72(2):344-53. doi: 10.1111/biom.12449. Epub 2015 Nov 19.

PMID:
26584211
14.

Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation.

Vo BN, Drovandi CC, Pettitt AN, Simpson MJ.

Math Biosci. 2015 May;263:133-42. doi: 10.1016/j.mbs.2015.02.010. Epub 2015 Mar 5.

PMID:
25747415
15.

A new approach to estimating trends in chlamydia incidence.

Ali H, Cameron E, Drovandi CC, McCaw JM, Guy RJ, Middleton M, El-Hayek C, Hocking JS, Kaldor JM, Donovan B, Wilson DP; Australian chlamydia incidence estimation group.

Sex Transm Infect. 2015 Nov;91(7):513-9. doi: 10.1136/sextrans-2014-051631. Epub 2015 Jan 6.

PMID:
25564675
16.

Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets.

Lee XJ, Drovandi CC, Pettitt AN.

Biometrics. 2015 Mar;71(1):198-207. doi: 10.1111/biom.12249. Epub 2014 Oct 9.

PMID:
25303085
17.

Bayesian experimental design for models with intractable likelihoods.

Drovandi CC, Pettitt AN.

Biometrics. 2013 Dec;69(4):937-48. doi: 10.1111/biom.12081. Epub 2013 Oct 16.

PMID:
24131221
18.

A sequential Monte Carlo approach to derive sampling times and windows for population pharmacokinetic studies.

McGree JM, Drovandi CC, Pettitt AN.

J Pharmacokinet Pharmacodyn. 2012 Oct;39(5):519-26. doi: 10.1007/s10928-012-9265-1. Epub 2012 Jul 31.

PMID:
22847735
19.

Estimation of parameters for macroparasite population evolution using approximate bayesian computation.

Drovandi CC, Pettitt AN.

Biometrics. 2011 Mar;67(1):225-33. doi: 10.1111/j.1541-0420.2010.01410.x.

PMID:
20345496
20.

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