Publications

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Displaying 1 through 11 of 11 publications.

Alatalo A, de Sousa Maciel I, Kucharikova N, Chew S, van Kamp I, Foraster M, Julvez J, Kanninen KM. The interaction between circulating cell-free mitochondrial DNA and inflammatory cytokines in predicting human mental health issue risk in adolescents: an explorative study. Biomedicines. 2023 Mar 7;11(3):818. doi: 10.3390/biomedicines11030818

Rockwood N. Efficient likelihood estimation of generalized structural equation models with a mix of normal and nonnormal responses. Psychometrika. 2021 Jun;86(2):642-67. doi: 10.1007/s11336-021-09770

Carton-Garcia F, Saande CJ, Meraviglia-Crivelli D, Aldabe R, Pastor F. Oligonucleotide-based therapies for renal diseases. Biomedicines. 2021 Mar 16;9(3):303. doi: 10.3390/biomedicines9030303

van der Wall SJ, Teutsch C, Dubner SJ, Diener HC, Halperin JL, Ma CS, Rothman KJ, Paquette M, Zint K, Franca LR, Lu S, Lip GYH, Huisman MV, GLORIA-AF Investigators. Anticoagulation prescription and outcomes in relation to renal function in patients with atrial fibrillation: results from GLORIA-AF. TH Open. 2021 Feb 6;5(1):e35-42. doi: 10.1055/s-0040-1722706

van den Dries CJ, van Doorn S, Souverein P, Pajouheshnia R, Moons KGM, Hoes AW, Gerrsing G-J, van den Ham HA. The number of concomitant drugs and the safety of direct oral anticoagulants in routine care patients with atrial fibrillation. TH Open. 2020 Dec 23;4(4):e417-26. doi: 10.1055/s-0040-1721499

Van Hout B, Hawe E, Cohen AT. Impact of patient characteristics on treatment outcomes in symptomatic venous thromboembolism: results of HOKUSAI-VTE randomized trial analysis. TH Open. 2020 Sep 23;4(3):e245-54. doi: 10.1055/s-0040-1716496

Rockwood NJ. Maximum likelihood estimation of multilevel structural equation models with random slopes for latent covariates. Psychometrika. 2020 Jun;85(2):275-300. doi: 10.1007/s11336-020-09702-9

Skajaa N, Horvath-Puho E, Adelborg K, Prandoni P, Rothman KJ, Sorensen HT. Venous thromboembolism in Denmark: seasonality in occurrence and mortality. TH Open. 2019 Jun 18;3(2):e171-9. doi: 10.1055/s-0039-1692399.

DiTrapani J, Rockwood N, Jeon M. Explanatory IRT analysis using the SPIRT macro in SPSS. TQMP. 2018;14(2):81-98. doi: 10.20982/tqmp.14.2.p081

Downey CL, Fatuga G. Global training initiative challenges: an American perspective. International pharmaceutical Industry. 2009;1.

Yung YF, Thissen D, McLeod LD. On the relationship between the higher-order factor model and the hierarchical factor model. Psychometrika. 1999 Jun;64:113-28.