cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26977501
title: A Primer of Quasi-Exact Tests for Randomized Clinical Trials with Binary Endpoints

description: For planned clinical trials with a binary endpoint, standard statistical tests can be very inaccurate in their error control, especially when the trial is unbalanced. Specifically, Type 1 error can greatly exceed a nominal target like 5%, even for quite large sample sizes, and power can be much less than a nominal target such as 80%. Confidence limits may not have the correct coverage. The purpose of this article is first to give clinical trialists an appreciation of this fact. We then describe well-studied alternatives to the standard methods, which are simple in conception but can be quite challenging to implement. These contemporary methods in frequentist statistical theory, known as quasi-exact methods, have been neglected in medical applications. We provide an R-package that can be used to provide accurate inference results based on our recommended quasi-exact test. The package will also calculate the exact size and power of the test, once the control and treatment samples sizes are finalized. All proposals are illustrated with a real-world example on the treatment of prostate cancer. We would recommend practitioners to use quasi-exact methods in the analysis of randomized clinical trials.
DOI: 10.6084/m9.figshare.26977501.v2
title: A Primer of Quasi-Exact Tests for Randomized Clinical Trials with Binary Endpoints

description: For planned clinical trials with a binary endpoint, standard statistical tests can be very inaccurate in their error control, especially when the trial is unbalanced. Specifically, Type 1 error can greatly exceed a nominal target like 5%, even for quite large sample sizes, and power can be much less than a nominal target such as 80%. Confidence limits may not have the correct coverage. The purpose of this article is first to give clinical trialists an appreciation of this fact. We then describe well-studied alternatives to the standard methods, which are simple in conception but can be quite challenging to implement. These contemporary methods in frequentist statistical theory, known as quasi-exact methods, have been neglected in medical applications. We provide an R-package that can be used to provide accurate inference results based on our recommended quasi-exact test. The package will also calculate the exact size and power of the test, once the control and treatment samples sizes are finalized. All proposals are illustrated with a real-world example on the treatment of prostate cancer. We would recommend practitioners to use quasi-exact methods in the analysis of randomized clinical trials.
DOI: 10.3535/t1p-931-bw7
title: Habenaria crucifera Rchb.f. & Warm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.6084/m9.figshare.26977498
title: A Basket Trial Design Based on Power Priors

description: In basket trials a treatment is investigated in several subgroups. They are primarily used in oncology in early clinical phases as single-arm trials with a binary endpoint. For their analysis primarily Bayesian methods have been suggested, as they allow partial sharing of information based on the observed similarity between subgroups. <i>Fujikawa et al.</i> suggested an approach using empirical Bayes methods that allows flexible sharing based on easily interpretable weights derived from the Jensen-Shannon divergence between the subgroup-wise posterior distributions. We show that this design is closely related to the method of power priors and investigate several modifications of Fujikawa’s design using methods from the power prior literature. While in Fujikawa’s design, the amount of information that is shared between two baskets is only determined by their pairwise similarity, we also discuss extensions where the outcomes of all baskets are considered in the computation of the sharing weights. The results of our comparison study show that the power prior design has comparable performance to fully Bayesian designs in a range of different scenarios. At the same time, the power prior design is computationally cheap and even allows analytical computation of operating characteristics in some settings.
DOI: 10.6084/m9.figshare.26977498.v1
title: A Basket Trial Design Based on Power Priors

description: In basket trials a treatment is investigated in several subgroups. They are primarily used in oncology in early clinical phases as single-arm trials with a binary endpoint. For their analysis primarily Bayesian methods have been suggested, as they allow partial sharing of information based on the observed similarity between subgroups. <i>Fujikawa et al.</i> suggested an approach using empirical Bayes methods that allows flexible sharing based on easily interpretable weights derived from the Jensen-Shannon divergence between the subgroup-wise posterior distributions. We show that this design is closely related to the method of power priors and investigate several modifications of Fujikawa’s design using methods from the power prior literature. While in Fujikawa’s design, the amount of information that is shared between two baskets is only determined by their pairwise similarity, we also discuss extensions where the outcomes of all baskets are considered in the computation of the sharing weights. The results of our comparison study show that the power prior design has comparable performance to fully Bayesian designs in a range of different scenarios. At the same time, the power prior design is computationally cheap and even allows analytical computation of operating characteristics in some settings.
DOI: 10.6084/m9.figshare.26977501.v1
title: A primer of quasi-exact tests for randomized clinical trials with binary endpoints

description: For planned clinical trials with a binary endpoint, standard statistical tests can be very inaccurate in their error control, especially when the trial is unbalanced. Specifically, type 1 error can greatly exceed a nominal target like 5%, even for quite large sample sizes, and power can be much less than a nominal target such as 80%. Confidence limits may not have the correct coverage. The purpose of this article is firstly to give clinical trialists an appreciation of this fact. We then describe well-studied alternatives to the standard methods, which are simple in conception but can be quite challenging to implement. These contemporary methods in frequentist statistical theory, known as quasi-exact methods, have been neglected in medical applications. We provide an R-package that can be used to provide accurate inference results based on our recommended quasi-exact test. The package will also calculate the exact size and power of the test, once the control and treatment samples sizes are finalised. All proposals are illustrated with a real-world example on the treatment of prostate cancer. We would recommend practitioners to use quasi-exact methods in the analysis of randomized clinical trials.
DOI: 10.3535/g5q-330-4yk
title: Habenaria nasuta Rchb.f. & Warm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.6084/m9.figshare.27188526
title: Longitudinal Benefit:risk Analysis through the Desirability of Outcome Ranking (DOOR) with Application to ACTT-1 Trial

description: A clinical trial aims to uncover high-quality evidence for both efficacy and safety for an experimental treatment. Traditionally, statisticians evaluate the two aspects marginally, where, for example, efficacy considers the proportion of patients cured and safety considers the proportion of patients not showing adverse events. However, separate analyses could end up with misleading results, as the cumulative nature of clinical outcomes and the correlation between efficacy and safety endpoints are neglected. The desirability of outcome ranking (DOOR) method addresses such issues and provides a patient-centric approach to benefit:risk evaluation. A patient’s outcome is ranked based on pre-specified clinical criteria, where the most desirable rank represents a good outcome with no side effects and the least desirable rank is the worst possible clinical outcome. As the DOOR outcome is a temporal state that can have repeated measures, we propose a longitudinal approach that estimates and infers the temporal treatment effects. We develop a methodology for constructing simultaneous confidence bands by accounting for the correlations across time points. Additionally, we propose a weighted Mann-Whitney-U statistic to evaluate the treatment effect over the entire trial period. The performance of the proposed methodologies is examined through simulations and an application to a COVID-19 trial.
DOI: 10.6084/m9.figshare.27188526.v3
title: Longitudinal Benefit:risk Analysis through the Desirability of Outcome Ranking (DOOR) with Application to ACTT-1 Trial

description: A clinical trial aims to uncover high-quality evidence for both efficacy and safety for an experimental treatment. Traditionally, statisticians evaluate the two aspects marginally, where, for example, efficacy considers the proportion of patients cured and safety considers the proportion of patients not showing adverse events. However, separate analyses could end up with misleading results, as the cumulative nature of clinical outcomes and the correlation between efficacy and safety endpoints are neglected. The desirability of outcome ranking (DOOR) method addresses such issues and provides a patient-centric approach to benefit:risk evaluation. A patient’s outcome is ranked based on pre-specified clinical criteria, where the most desirable rank represents a good outcome with no side effects and the least desirable rank is the worst possible clinical outcome. As the DOOR outcome is a temporal state that can have repeated measures, we propose a longitudinal approach that estimates and infers the temporal treatment effects. We develop a methodology for constructing simultaneous confidence bands by accounting for the correlations across time points. Additionally, we propose a weighted Mann-Whitney-U statistic to evaluate the treatment effect over the entire trial period. The performance of the proposed methodologies is examined through simulations and an application to a COVID-19 trial.
DOI: 10.3535/7ma-p49-bfr
title: Festuca arundinacea Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pjv-b3b-zyl
title: Euphrasia salisburgensis Funck ex Hoppe

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/chc-dqy-fdp
title: Habenaria culicina Rchb.f. & Warm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wvj-6yb-kms
title: Lotus rectus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/al3-18v-ve0
title: Filago lusitanica (Samp.) P. Silva

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0m9-a5j-7w5
title: Euphrasia cockayneana Petrie

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5yd-gyl-45e
title: Dianthus viscidus Bory & Chaub.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/blq-n79-t5k
title: Euphrasia revoluta Hook. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s1r-cj0-b87
title: Euphrasia revoluta Hook. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/78p-hzw-rxg
title: Senecio vulgaris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qre-q4z-jah
title: Santolina ericoides Poir.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xey-3gh-hzb
title: Lamium galeobdolon subsp. argentatum (Smejkal) J.Duvign.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fyx-4bb-281
title: Koeleria pyramidata subsp. arenaria (Dumort.) Quintanar & Castrov.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h7r-g82-36p
title: Juncus bufonius L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p80-4nr-a8q
title: Kickxia commutata subsp. graeca (Bory & Chaub.) R. Fern.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fhj-vmm-gp4
title: Forsskaolea tenacissima L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wrt-v0g-lmt
title: Carex deasyi (C.B.Clarke) O.Yano & S.R.Zhang

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6b7-zwg-qjl
title: Ferula tingitana L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tg0-37n-5t3
title: Reynoutria japonica Houtt.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/erc-tmx-gqe
title: Rhaponticum scariosum subsp. heleniifolium (Godr. & Gren.) Nyman

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tn3-a6r-07v
title: Lactuca quercina subsp. quercina

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qp6-ar3-8sr
title: Achillea maritima (L.) Ehrend. & Y. P. Guo

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2vx-367-gy9
title: Fumaria officinalis subsp. officinalis

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c99-tkd-3ap
title: Fritillaria × spetsiotica Kamari

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/se4-sw9-le9
title: Calendula arvensis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tjp-k4q-96p
title: Crataegus monogyna Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bhc-zk4-nd5
title: Ferulago humilis Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bsl-9mk-97y
title: Picris hieracioides subsp. hieracioides

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kah-mwr-rkz
title: Fritillaria rhodia A.Hansen

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dqp-s9v-c93
title: Euphorbia serpens Kunth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rv5-nzl-1cs
title: Eragrostis pilosa (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5dp-v3e-br4
title: Anethum foeniculum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sf4-fd5-z81
title: Dianthus crinitus Sm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.cutff3
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hibiscus dasycalyx"
 ]
}

 The dataset includes 79 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069208-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6r2-6t4-ncd
title: Euphrasia laingii Petrie

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tdz-c5q-nv0
title: Delphinium hellenicum Pawl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2zl-gaf-mq7
title: Epipactis microphylla (Ehrh.) Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pct-9ae-3r3
title: Senecio vulgaris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3z1-xp4-qp7
title: Corrigiola litoralis subsp. imbricata (Lapeyr.) O. Bolòs & Vigo

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lgp-2n3-9at
title: Filago albicans Andrés-Sánchez, M. M. Mart. Ort. & E. Rico

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0gf-75q-6zp
title: Echinocystis lobata (Michx.) Torr. & A. Gray

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9c3-rhn-gvk
title: Dianthus diffusus Sm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ysh-vpr-dbq
title: Euphorbia characias subsp. characias

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lg3-m3n-6hj
title: Delphinium peregrinum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vj0-q3w-ybd
title: Euphorbia nutans Lag.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7bk-gp1-v6a
title: Eruca vesicaria (L.) Cav.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zd0-qjb-64g
title: Enarthrocarpus arcuatus Labill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccdc.csd.cc2m8hgw
title: CCDC 2421238: Experimental Crystal Structure Determination

description: Related Article: Obaid H. Hashmi, Raphael Caulier, Frederic Capet, Olivier Mentré, Claire Minaud, Jean-François Meunier, Iker del Rosal, Chiara Dinoi, Marc Visseaux, Yohan Champouret|2025|Inorg.Chem.|64|14836|doi:10.1021/acs.inorgchem.5c01030
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3535/1hk-5pr-bea
title: Euphorbia lathyris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jzp-83b-hz1
title: Senecio vernalis Waldst. & Kit.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccdc.csd.cc2m8hjy
title: CCDC 2421240: Experimental Crystal Structure Determination

description: Related Article: Obaid H. Hashmi, Raphael Caulier, Frederic Capet, Olivier Mentré, Claire Minaud, Jean-François Meunier, Iker del Rosal, Chiara Dinoi, Marc Visseaux, Yohan Champouret|2025|Inorg.Chem.|64|14836|doi:10.1021/acs.inorgchem.5c01030
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m8hkz
title: CCDC 2421241: Experimental Crystal Structure Determination

description: Related Article: Obaid H. Hashmi, Raphael Caulier, Frederic Capet, Olivier Mentré, Claire Minaud, Jean-François Meunier, Iker del Rosal, Chiara Dinoi, Marc Visseaux, Yohan Champouret|2025|Inorg.Chem.|64|14836|doi:10.1021/acs.inorgchem.5c01030
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3535/5nv-cqr-p3t
title: Drusa glandulosa (Poir.) H. Wolff ex Engl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dq0-lfk-da7
title: Euphrasia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccdc.csd.cc2m8hl0
title: CCDC 2421242: Experimental Crystal Structure Determination

description: Related Article: Obaid H. Hashmi, Raphael Caulier, Frederic Capet, Olivier Mentré, Claire Minaud, Jean-François Meunier, Iker del Rosal, Chiara Dinoi, Marc Visseaux, Yohan Champouret|2025|Inorg.Chem.|64|14836|doi:10.1021/acs.inorgchem.5c01030
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m8hm1
title: CCDC 2421243: Experimental Crystal Structure Determination

description: Related Article: Obaid H. Hashmi, Raphael Caulier, Frederic Capet, Olivier Mentré, Claire Minaud, Jean-François Meunier, Iker del Rosal, Chiara Dinoi, Marc Visseaux, Yohan Champouret|2025|Inorg.Chem.|64|14836|doi:10.1021/acs.inorgchem.5c01030
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3535/fhf-jwj-g49
title: Senecio scopolii subsp. floccosus (Bertol.) Greuter

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w3s-ktk-pyb
title: Delphinium peregrinum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7k1-dce-k8y
title: Euphrasia laingii Petrie

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hf4-ln9-7qn
title: Euphrasia townsonii Petrie

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xk9-dz1-wfb
title: Brassia R.Br.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gqy-rzw-pqa
title: Sonchus arvensis subsp. uliginosus (M. Bieb.) Nyman

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yjh-nwe-jmx
title: Brassia R.Br.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5yx-99z-bx7
title: Convolvulus scammonia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rqb-fep-ybk
title: Convolvulus cantabrica L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v3f-bph-zrj
title: Telekia speciosa (Schreb.) Baumg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/36s-y3r-j9p
title: Convolvulus tricolor subsp. cupanianus (Tod.) Cavara & Grande

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ese-j3v-86x
title: Sonchus palustris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/639-xsq-lc9
title: Delphinium hispanicum Costa

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jnz-8qv-0jx
title: Prosthechea fausta (Rchb.f. ex Cogn.) W.E.Higgins

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/517-baz-nye
title: Brassia R.Br.

description: Digital Specimen for the physical specimen hosted at University of Graz.