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  1. Article ; Online: The notorious R.N.A.

    Anderson, Kelly M / Böhm, Stefanie

    The EMBO journal

    2023  Volume 42, Issue 7, Page(s) e113865

    Abstract: The EMBO Journal discusses the current state of RNA research and presents a series of review articles throughout 2023 that will cover various aspects of RNA biology. ...

    Abstract The EMBO Journal discusses the current state of RNA research and presents a series of review articles throughout 2023 that will cover various aspects of RNA biology.
    Language English
    Publishing date 2023-03-08
    Publishing country England
    Document type Editorial
    ZDB-ID 586044-1
    ISSN 1460-2075 ; 0261-4189
    ISSN (online) 1460-2075
    ISSN 0261-4189
    DOI 10.15252/embj.2023113865
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  2. Article ; Online: The OCI-CV-R: A Revision of the Obsessive-Compulsive Inventory - Child Version.

    Abramovitch, Amitai / Abramowitz, Jonathan S / McKay, Dean / Cham, Heining / Anderson, Kennedy S / Farrell, Lara / Geller, Daniel A / Hanna, Gregory L / Mathieu, Sharna / McGuire, Joseph F / Rosenberg, David R / Stewart, S Evelyn / Storch, Eric A / Wilhelm, Sabine

    Journal of anxiety disorders

    2022  Volume 86, Page(s) 102532

    Abstract: ... of a revised version of the scale - the OCI-CV-R- that excludes items assessing hoarding.: Methods ... children. Internal consistency of the OCI-CV-R was acceptable, and discriminant and convergent validity ... for a total score of 8 and higher.: Conclusion: It is recommended that the OCI-CV-R replace the former ...

    Abstract Background: The Obsessive-Compulsive Inventory-Children's Version (OCI-CV) was developed to assess obsessive-compulsive symptoms in youth. Recent changes in the Diagnostic and Statistical Manual (DSM-5) exclude hoarding from inclusion in the diagnosis of obsessive-compulsive disorder (OCD). Accordingly, the present study examined the reliability, validity, factorial structure, and diagnostic sensitivity of a revised version of the scale - the OCI-CV-R- that excludes items assessing hoarding.
    Methods: Participant were 1047 youth, including 489 meeting DSM criteria for primary OCD, 298 clinical controls, and 260 nonclinical controls, who completed the OCI-CV and measures of obsessive-compulsive symptom severity, depression, and anxiety at various treatment and research centers.
    Results: Findings support a five-factor structure (doubting/checking, obsessing, washing, ordering, and neutralizing), with a higher order factor. Factorial invariance was found for older (12-17 years) and younger (7-11 years) children. Internal consistency of the OCI-CV-R was acceptable, and discriminant and convergent validity were adequate and akin to that of its progenitor. Diagnostic sensitivity and specificity were found for a total score of 8 and higher.
    Conclusion: It is recommended that the OCI-CV-R replace the former version, and that this measure serve as part of a comprehensive clinical assessment of youth with OCD. Recommendations for further research with ethnically and racially diverse samples, as well as the need to establish benchmark scores are discussed.
    MeSH term(s) Adolescent ; Anxiety ; Humans ; Obsessive-Compulsive Disorder/diagnosis ; Psychiatric Status Rating Scales ; Psychometrics ; Reproducibility of Results ; Surveys and Questionnaires
    Language English
    Publishing date 2022-01-15
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 619417-5
    ISSN 1873-7897 ; 0887-6185
    ISSN (online) 1873-7897
    ISSN 0887-6185
    DOI 10.1016/j.janxdis.2022.102532
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  3. Article ; Online: In Memoriam: Roland R. Griffiths (July 19, 1946-October 16, 2023).

    Henningfield, Jack E / Belouin, Sean J / Yaden, David B / Urrutia, Julian / Anderson, Brian T / Berger, Ann / Grob, Charles S / Labate, Beatriz C / Maier, Larissa J / Maternowska, M Catherine / Weichold, Frank / Magar, Veronica

    Journal of psychoactive drugs

    2024  , Page(s) 1–2

    Language English
    Publishing date 2024-05-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 392405-1
    ISSN 2159-9777 ; 0279-1072
    ISSN (online) 2159-9777
    ISSN 0279-1072
    DOI 10.1080/02791072.2024.2343812
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  4. Article ; Online: Contracts and intellectual property rights in translational R&D: furthering safeguards in the public interest.

    Anderson, Mark / Hawkins, Naomi / Slade, Alison

    Nature biotechnology

    2024  Volume 42, Issue 2, Page(s) 179–182

    Language English
    Publishing date 2024-02-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1311932-1
    ISSN 1546-1696 ; 1087-0156
    ISSN (online) 1546-1696
    ISSN 1087-0156
    DOI 10.1038/s41587-023-02117-8
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  5. Article ; Online: gPKPDviz: A flexible R shiny tool for pharmacokinetic/pharmacodynamic simulations using mrgsolve.

    Lu, Tong / Poon, Victor / Brooks, Logan / Velasquez, Erick / Anderson, Eric / Baron, Kyle / Jin, Jin Y / Kågedal, Matts

    CPT: pharmacometrics & systems pharmacology

    2023  Volume 13, Issue 3, Page(s) 341–358

    Abstract: ... for the mrgsolve model, providing the same error messages as model compilation in R. GPKPDviz has had stringent ... validation by comparing simulation results between the app and using mrgsolve in R. GPKPDviz is a member ...

    Abstract GPKPDviz is a Shiny application (app) dedicated to real-time simulation, visualization, and assessment of the pharmacokinetic/pharmacodynamic (PK/PD) models. Within the app, gPKPDviz is capable of generating virtual populations and complex dosing and sampling scenarios, which, together with the streamlined workflow, is designed to efficiently assess the impact of covariates and dosing regimens on PK/PD end points. The actual population data from clinical trials can be loaded into the app for simulation if desired. The app-generated dosing regimens include single or multiple dosing, and more complex regimens, such as loading doses or intermittent dosing. When necessary, the dosing regimens can be defined externally and loaded to the app for simulation. Using mrgsolve as the simulation engine, gPKPDviz is typically used for population simulation, however, with a slight modification of the mrgsolve model, gPKPDviz is capable of performing individual simulations with individual post hoc parameters, individual dosing logs, and individual sampling timepoints through an external dataset. A built-in text editor has a debugging feature for the mrgsolve model, providing the same error messages as model compilation in R. GPKPDviz has had stringent validation by comparing simulation results between the app and using mrgsolve in R. GPKPDviz is a member of the suite of Modeling and Simulation Shiny apps developed at Genentech to facilitate the typical modeling work in Clinical Pharmacology. For broader access to the Pharmacometric community, gPKPDviz has been published as an open-source application in GitHub under the terms of GNU General Public License.
    MeSH term(s) Computer Simulation ; Models, Biological
    Language English
    Publishing date 2023-12-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2697010-7
    ISSN 2163-8306 ; 2163-8306
    ISSN (online) 2163-8306
    ISSN 2163-8306
    DOI 10.1002/psp4.13096
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  6. Book ; Online: An R package for parametric estimation of causal effects

    Anderson, Joshua Wolff / Rakovski, Cyril

    2023  

    Abstract: This article explains the usage of R package CausalModels, which is publicly available ... on the Comprehensive R Archive Network. While packages are available for sufficiently estimating causal effects, there ... approach developed by Hernan and Robins (2020). CausalModels addresses this deficiency of software in R ...

    Abstract This article explains the usage of R package CausalModels, which is publicly available on the Comprehensive R Archive Network. While packages are available for sufficiently estimating causal effects, there lacks a package that provides a collection of structural models using the conventional statistical approach developed by Hernan and Robins (2020). CausalModels addresses this deficiency of software in R concerning causal inference by offering tools for methods that account for biases in observational data without requiring extensive statistical knowledge. These methods should not be ignored and may be more appropriate or efficient in solving particular problems. While implementations of these statistical models are distributed among a number of causal packages, CausalModels introduces a simple and accessible framework for a consistent modeling pipeline among a variety of statistical methods for estimating causal effects in a single R package. It consists of common methods including standardization, IP weighting, G-estimation, outcome regression, instrumental variables and propensity matching.
    Keywords Statistics - Methodology ; Computer Science - Machine Learning ; Computer Science - Mathematical Software ; Statistics - Applications
    Subject code 310
    Publishing date 2023-07-17
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Andreas R. Gruentzig, MD (1939-1985).

    Anderson, H V Skip

    Cardiology

    2021  Volume 147, Issue 1, Page(s) 107–112

    Language English
    Publishing date 2021-09-01
    Publishing country Switzerland
    Document type Letter
    ZDB-ID 80092-2
    ISSN 1421-9751 ; 0008-6312
    ISSN (online) 1421-9751
    ISSN 0008-6312
    DOI 10.1159/000519303
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  8. Article ; Online: Reply to M. R. Van Bockstal et al.

    Cobleigh, Melody A / Anderson, Stewart J

    Journal of clinical oncology : official journal of the American Society of Clinical Oncology

    2021  Volume 39, Issue 30, Page(s) 3410–3411

    Language English
    Publishing date 2021-09-02
    Publishing country United States
    Document type Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural ; Letter ; Comment
    ZDB-ID 604914-x
    ISSN 1527-7755 ; 0732-183X
    ISSN (online) 1527-7755
    ISSN 0732-183X
    DOI 10.1200/JCO.21.01587
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  9. Article ; Online: Wide QRS complex tachycardia and R-R variations.

    Macedo Neto, Iremar S / Escarião, Abelardo G / Albuquerque, Afonso L T / Rezende, André G S / Thé, Ezequiel C / Armstrong, Anderson C

    Journal of cardiovascular electrophysiology

    2020  Volume 31, Issue 10, Page(s) 2785–2787

    MeSH term(s) Atrioventricular Node/surgery ; Catheter Ablation ; Electrocardiography ; Humans ; Tachycardia, Atrioventricular Nodal Reentry/surgery
    Language English
    Publishing date 2020-08-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1025989-2
    ISSN 1540-8167 ; 1045-3873
    ISSN (online) 1540-8167
    ISSN 1045-3873
    DOI 10.1111/jce.14713
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  10. Article ; Online: Ten simple rules for finding and selecting R packages.

    Wendt, Caroline J / Anderson, G Brooke

    PLoS computational biology

    2022  Volume 18, Issue 3, Page(s) e1009884

    Abstract: R is an increasingly preferred software environment for data analytics and statistical computing ... able to access support. In Rules 5 and 6, you'll become familiar with how the R Community evaluates ... among scientists and practitioners. Packages markedly extend R's utility and ameliorate inefficient solutions ...

    Abstract R is an increasingly preferred software environment for data analytics and statistical computing among scientists and practitioners. Packages markedly extend R's utility and ameliorate inefficient solutions to data science problems. We outline 10 simple rules for finding relevant packages and determining which package is best for your desired use. We begin in Rule 1 with tips on how to consider your purpose, which will guide your search to follow, where, in Rule 2, you'll learn best practices for finding and collecting options. Rules 3 and 4 will help you navigate packages' profiles and explore the extent of their online resources, so that you can be confident in the quality of the package you choose and assured that you'll be able to access support. In Rules 5 and 6, you'll become familiar with how the R Community evaluates packages and learn how to assess the popularity and utility of packages for yourself. Rules 7 and 8 will teach you how to investigate and track package development processes, so you can further evaluate their merit. We end in Rules 9 and 10 with more hands-on approaches, which involve digging into package code.
    MeSH term(s) Software
    Language English
    Publishing date 2022-03-24
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1009884
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