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Items: 1 to 20 of 40

1.

Predictive Bayesian inference and dynamic treatment regimes.

Saarela O, Arjas E, Stephens DA, Moodie EE.

Biom J. 2015 Nov;57(6):941-58. doi: 10.1002/bimj.201400153. Epub 2015 Aug 11.

PMID:
26259996
2.

The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective.

Gasbarra D, Arjas E, Vehtari A, Slama R, Keiding N.

Lifetime Data Anal. 2015 Oct;21(4):594-625. doi: 10.1007/s10985-015-9333-0. Epub 2015 Jun 12.

PMID:
26067898
3.

Hydrolyzed infant formula and early β-cell autoimmunity: a randomized clinical trial.

Knip M, Åkerblom HK, Becker D, Dosch HM, Dupre J, Fraser W, Howard N, Ilonen J, Krischer JP, Kordonouri O, Lawson ML, Palmer JP, Savilahti E, Vaarala O, Virtanen SM; TRIGR Study Group.

JAMA. 2014 Jun 11;311(22):2279-87. doi: 10.1001/jama.2014.5610.

4.

Large-scale prospective T cell function assays in shipped, unfrozen blood samples: experiences from the multicenter TRIGR trial.

Hadley D, Cheung RK, Becker DJ, Girgis R, Palmer JP, Cuthbertson D, Krischer JP, Dosch HM; TRIGR North America Investigators.

Clin Vaccine Immunol. 2014 Feb;21(2):203-11. doi: 10.1128/CVI.00516-13. Epub 2013 Dec 11.

5.

Recruitment and retention of participants for an international type 1 diabetes prevention trial: a coordinators' perspective.

Franciscus M, Nucci A, Bradley B, Suomalainen H, Greenberg E, Laforte D, Kleemola P, Hyytinen M, Salonen M, Martin MJ, Catte D, Catteau J; TRIGR Investigators.

Clin Trials. 2014 Apr;11(2):150-8. doi: 10.1177/1740774513510070. Epub 2013 Nov 11.

6.

Use of vitamin D supplements during infancy in an international feeding trial.

Lehtonen E, Ormisson A, Nucci A, Cuthbertson D, Sorkio S, Hyytinen M, Alahuhta K, Berseth C, Salonen M, Taback S, Franciscus M, González-Frutos T, Korhonen TE, Lawson ML, Becker DJ, Krischer JP, Knip M, Virtanen SM; TRIGR Investigators.

Public Health Nutr. 2014 Apr;17(4):810-22.

7.

Estimating efficacy in the presence of non-ignorable non-trial interventions in the Helsinki Psychotherapy Study.

Härkänen T, Arjas E, Laaksonen MA, Lindfors O, Haukka J, Knekt P.

Stat Methods Med Res. 2016 Apr;25(2):885-901. doi: 10.1177/0962280212473348. Epub 2013 Feb 1.

PMID:
23376961
8.

Growth differences between North American and European children at risk for type 1 diabetes.

Nucci AM, Becker DJ, Virtanen SM, Cuthbertson D, Softness B, Huot C, Wasikowa R, Dosch HM, Akerblom HK, Knip M; TRIGR Study Group.

Pediatr Diabetes. 2012 Aug;13(5):425-31. doi: 10.1111/j.1399-5448.2011.00840.x. Epub 2012 Jan 17.

9.

The Trial to Reduce IDDM in the Genetically at Risk (TRIGR) study: recruitment, intervention and follow-up.

TRIGR Study Group, Akerblom HK, Krischer J, Virtanen SM, Berseth C, Becker D, Dupré J, Ilonen J, Trucco M, Savilahti E, Koski K, Pajakkala E, Fransiscus M, Lough G, Bradley B, Koski M, Knip M.

Diabetologia. 2011 Mar;54(3):627-33. doi: 10.1007/s00125-010-1964-9. Epub 2010 Dec 12. Erratum in: Diabetologia. 2011 Aug;54(8):2210.

10.

Optimal dynamic regimes: presenting a case for predictive inference.

Arjas E, Saarela O.

Int J Biostat. 2010 Mar 3;6(2):Article 10. doi: 10.2202/1557-4679.1204.

11.

Bayesian integrated modeling of expression data: a case study on RhoG.

Gupta R, Greco D, Auvinen P, Arjas E.

BMC Bioinformatics. 2010 Jun 1;11:295. doi: 10.1186/1471-2105-11-295.

12.

Full likelihood analysis of genetic risk with variable age at onset disease--combining population-based registry data and demographic information.

Pitkäniemi J, Varvio SL, Corander J, Lehti N, Partanen J, Tuomilehto-Wolf E, Tuomilehto J, Thomas A, Arjas E.

PLoS One. 2009 Aug 31;4(8):e6836. doi: 10.1371/journal.pone.0006836.

13.

Evolution of the capsular regulatory genes in Streptococcus pneumoniae.

Varvio SL, Auranen K, Arjas E, Mäkelä PH.

J Infect Dis. 2009 Oct 1;200(7):1144-51. doi: 10.1086/605651.

14.

Bayesian quantitative trait locus mapping based on reconstruction of recent genetic histories.

Gasbarra D, Pirinen M, Sillanpää MJ, Arjas E.

Genetics. 2009 Oct;183(2):709-21. doi: 10.1534/genetics.109.104190. Epub 2009 Jul 20.

15.

A Naive Bayes classifier for protein function prediction.

Kohonen J, Talikota S, Corander J, Auvinen P, Arjas E.

In Silico Biol. 2009;9(1-2):23-34.

PMID:
19537159
16.

Nested case-control data utilized for multiple outcomes: a likelihood approach and alternatives.

Saarela O, Kulathinal S, Arjas E, Läärä E.

Stat Med. 2008 Dec 10;27(28):5991-6008. doi: 10.1002/sim.3416.

PMID:
18792086
17.

Bayesian hierarchical model for estimating gene expression intensity using multiple scanned microarrays.

Gupta R, Arjas E, Kulathinal S, Thomas A, Auvinen P.

EURASIP J Bioinform Syst Biol. 2008:231950. doi: 10.1155/2008/231950.

18.

Bayesian methods for analyzing movements in heterogeneous landscapes from mark-recapture data.

Ovaskainen O, Rekola H, Meyke E, Arjas E.

Ecology. 2008 Feb;89(2):542-54.

PMID:
18409443
19.

Estimating genealogies from linked marker data: a Bayesian approach.

Gasbarra D, Pirinen M, Sillanpää MJ, Arjas E.

BMC Bioinformatics. 2007 Oct 25;8:411.

20.

Estimating genealogies from unlinked marker data: a Bayesian approach.

Gasbarra D, Pirinen M, Sillanpää MJ, Salmela E, Arjas E.

Theor Popul Biol. 2007 Nov;72(3):305-22. Epub 2007 Jun 22. Review.

PMID:
17681576
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