Biostatistiques

@article{symonds1863new,
    author = "Symonds, W. S.",
    title = "Nouvelles espèces d'Olenus",
    year = "1863",
    journal = "The Geologist",
    url = "https://doi.org/10.1017/s1359465600001428",
    doi = "10.1017/s1359465600001428",
    number = "6",
    openalex = "W2315403958",
    pages = "214-214",
    volume = "6"
}

@misc{kauffman1933variationsstatistische1,
    author = "Kauffman, R",
    title = {Variations-statistiques Untersuchungen ber die "Artabwandlung" et "Artumbildung" an der oberkambrischen Trilobitengattung Olenus Dalm},
    year = "1933",
    howpublished = "Geol. Pal. Inst. Univ. Griefswald, Abh., v. 10, p. 1-54",
    note = {talkorigins\_source = {true}; raw\_reference = {Kauffman, R., 1933, Variations-statistiques Untersuchungen ber die "Artabwandlung" et "Artumbildung" an der oberkambrischen Trilobitengattung Olenus Dalm: Geol. Pal. Inst. Univ. Griefswald, Abh., v. 10, p. 1-54.}}
}

@misc{kauffman1935exaktstatistische2,
    author = "Kauffman, R",
    title = "Exakt-statistische Biostratigraphie der Olenus - Arten von Sudland",
    year = "1935",
    howpublished = "Geol. Foren. Stockholm Frhandl., v. 1935, p. 19-28",
    note = "talkorigins\_source = {true}; raw\_reference = {Kauffman, R., 1935, Exakt-statistische Biostratigraphie der Olenus - Arten von Sudland: Geol. Foren. Stockholm Frhandl., v. 1935, p. 19-28.}"
}

@article{kaufmann1935exaktstatistische,
    author = "Kaufmann, Rudolf",
    title = "Exakt-statistische Biostratigraphie der Olenus-Arten von Südöland",
    year = "1935",
    journal = "Geologiska Föreningen i Stockholm Förhandlingar",
    url = "https://doi.org/10.1080/11035893509444911",
    doi = "10.1080/11035893509444911",
    number = "1",
    openalex = "W1965721257",
    pages = "19-28",
    volume = "57",
    references = "doi101007bf01496542, doi101007bf03041636, doi101017s0016756800086611"
}

@article{modell1964biostatistics,
    author = "Modell, Walter et Kuperman, Albert S.",
    title = "Biostatistiques",
    year = "1964",
    journal = "Pharmacologie clinique & Thérapeutiques",
    url = "https://doi.org/10.1002/cpt196455660",
    doi = "10.1002/cpt196455660",
    number = "5",
    openalex = "W4236123962",
    pages = "660-661",
    volume = "5"
}

@incollection{wegmüller1992vegetationsgeschichtliche,
    author = "Wegmüller, Samuel",
    title = "Vegetationsgeschichtliche Entwicklung und Biostratigraphie",
    year = "1992",
    booktitle = "Vegetationsgeschichtliche und stratigraphische Untersuchungen an Schieferkohlen des nördlichen Alpenvorlandes",
    url = "https://doi.org/10.1007/978-3-0348-5656-0\_6",
    doi = "10.1007/978-3-0348-5656-0\_6",
    openalex = "W143148635",
    pages = "37-43"
}

@article{grosdidier1999biostratigraphie,
    author = "Grosdidier, Emmanuel",
    title = "Biostratigraphie",
    year = "1999",
    journal = "Geobios",
    url = "https://doi.org/10.1016/s0016-6995(99)80874-2",
    doi = "10.1016/s0016-6995(99)80874-2",
    number = "6",
    pages = "923-924",
    volume = "32"
}

@article{thomas2004biostatistics,
    author = "Thomas, Ravi",
    title = "Biostatistics",
    year = "2004",
    journal = "Ophthalmology",
    url = "https://doi.org/10.1016/j.ophtha.2004.06.003",
    doi = "10.1016/j.ophtha.2004.06.003",
    number = "9",
    pages = "1791",
    volume = "111"
}

@misc{vanbelle2004biostatistics,
    author = "Van Belle, Gerald et Fisher, Lloyd D. et Heagerty, Patrick J. et Lumley, Thomas",
    title = "Biostatistics",
    year = "2004",
    booktitle = "Wiley Series in Probability and Statistics",
    url = "https://doi.org/10.1002/0471602396",
    doi = "10.1002/0471602396"
}

@article{grimm2011regionale,
    author = "Grimm, Kirsten I. et Radtke, Gudrun et Köthe, Angelika et Reichenbacher, Bettina et Schwarz, Jürgen et Martini, Erlend et Kadolsky, Dietrich et Martin, Hottenrott et Franzen, Jens Lorenz",
    title = "Regionale Biostratigraphie",
    year = "2011",
    journal = "Schriftenreihe der Deutschen Gesellschaft für Geowissenschaften",
    url = "https://doi.org/10.1127/sdgg/75/2011/43",
    doi = "10.1127/sdgg/75/2011/43",
    openalex = "W4230311781",
    pages = "43-56",
    volume = "75"
}

@incollection{hiremath2012biostatistics,
    author = "Hiremath, Lalita et Hiremath, Dhananjaya",
    title = "Biostatistiques",
    year = "2012",
    booktitle = "Essentiels de la médecine communautaire : une approche pratique",
    url = "https://doi.org/10.5005/jp/books/11660\_28",
    doi = "10.5005/jp/books/11660\_28",
    pages = "356-356"
}

@incollection{leaverton2017biostatistics,
    author = "Leaverton, Paul E. et Vaughn, Frances L. et Zhu, Yiliang",
    title = "Biostatistics",
    year = "2017",
    booktitle = "International Encyclopedia of Public Health",
    url = "https://doi.org/10.1016/b978-0-12-803678-5.00034-5",
    doi = "10.1016/b978-0-12-803678-5.00034-5",
    openalex = "W4242730440",
    pages = "223-232",
    references = "doi10108010618600199610474713, doi10108013576280600937911, doi101126scienceaaa2709, doi101198jasa2003s288, doi1012019780429340512, doi101214ss1177011137, doi101377hlthaff20140041, doi1023071268879, doi105005jpbooks10313, openalexw2610204687"
}

@misc{crossref2023biostatistics,
    title = "Biostatistics",
    year = "2023",
    booktitle = "The SAGE Encyclopedia of Theory in Science, Technology, Engineering, and Mathematics",
    url = "https://doi.org/10.4135/9781071872383.n33",
    doi = "10.4135/9781071872383.n33",
    openalex = "W4309912789"
}

@incollection{husar2023biostatistics,
    author = "Husar, Peter et Gašpar, Gabriel",
    title = "Biostatistiques",
    year = "2023",
    booktitle = "Signaux biologiques électriques en ingénierie biomédicale",
    url = "https://doi.org/10.1007/978-3-662-67998-2\_6",
    doi = "10.1007/978-3-662-67998-2\_6",
    openalex = "W4388469843",
    pages = "355-440",
    references = "doi1010160967066194903352"
}

La statistique bayésienne s'est imposée comme une approche précieuse en biostatistique, en particulier pour sa capacité à combiner les connaissances antérieures avec de nouvelles preuves dans un cadre cohérent et basé sur les probabilités. Contrairement aux méthodes fréquentistes traditionnelles qui reposent uniquement sur les données observées, les méthodes bayésiennes permettent une mise à jour continue des croyances à mesure que de nouvelles informations deviennent disponibles, offrant une compréhension plus claire de l'incertitude. Cette flexibilité a conduit à une utilisation croissante dans la conception d'essais cliniques, l'évaluation de la sécurité des médicaments et la surveillance en temps réel des effets indésirables. Une recherche bibliographique a été menée sur PubMed, Scopus, ScienceDirect et Google Scholar entre janvier et août 2015 en utilisant des mots-clés tels que biostatistique bayésienne, inférence bayésienne, pharmacovigilance, essais cliniques, modèles hiérarchiques et MCMC. Les études se concentrant sur les applications pratiques en biostatistique ou en sécurité des médicaments ont été incluses, tandis que les travaux purement théoriques ont été exclus. Un total de 68 articles à comité de lecture ont rempli les critères d'inclusion. Les résultats mettent en évidence la force des approches bayésiennes pour gérer les petits échantillons et les événements rares. Les modèles hiérarchiques et multiniveaux permettent d'emprunter des informations entre groupes, conduisant à des estimations plus robustes des effets des médicaments et des risques associés. L'utilisation de données antérieures, y compris les témoins historiques et l'opinion d'experts, améliore la prise de décision, en particulier dans la surveillance post-commercialisation. Les avancées dans les outils informatiques, y compris les méthodes de Monte Carlo par chaînes de Markov et les logiciels tels que Stan, JAGS et PyMC, ont rendu la modélisation complexe plus accessible. Dans l'ensemble, la biostatistique bayésienne offre un cadre flexible et interprétable pour quantifier l'incertitude dans la recherche médicale. Son développement continu et son intégration avec les preuves du monde réel seront essentiels pour une acceptation plus large dans la pratique réglementaire et clinique.

@article{devanshkhanak2026an,
    author = "{Devansh Khanak*, Adarsh Khot, Rohit Khandekar, Kishori Hol}",
    title = "An In-Depth Review of The Uses of Bayesian Methods in Biostatistics In Drug Safety and Pharmacovigilance",
    year = "2026",
    publisher = "International Journal of Pharmaceutical Sciences",
    abstract = "Bayesian statistics has emerged as a valuable approach in biostatistics, particularly for its ability to combine prior knowledge with new evidence in a coherent, probability-based framework. Unlike traditional frequentist methods that rely solely on observed data, Bayesian methods allow continuous updating of beliefs as new information becomes available, offering a clearer understanding of uncertainty. This flexibility has led to growing use in clinical trial design, drug safety evaluation, and real-world monitoring of adverse effects.A literature search was conducted across PubMed, Scopus, ScienceDirect, and Google Scholar between January and August 2015 using keywords such as Bayesian biostatistics, Bayesian inference, pharmacovigilance, clinical trials, hierarchical models, and MCMC. Studies focusing on practical applications in biostatistics or drug safety were included, while purely theoretical works were excluded. A total of 68 peer-reviewed articles met the inclusion criteria.he findings highlight the strength of Bayesian approaches in handling small sample sizes and rare events. Hierarchical and multilevel models enable borrowing of information across groups, leading to more robust estimates of drug effects and associated risks. The use of prior data, including historical controls and expert opinion, improves decision-making, especially in post-marketing surveillance. Advances in computational tools, including Markov Chain Monte Carlo methods and software such as Stan, JAGS, and PyMC, have made complex modeling more accessible.Overall, Bayesian biostatistics offers a flexible and interpretable framework for quantifying uncertainty in medical research. Its continued development and integration with real-world evidence will be essential for broader acceptance in regulatory and clinical practice",
    url = "https://zenodo.org/doi/10.5281/zenodo.19754317",
    doi = "10.5281/zenodo.19754317"
}

@misc{crossrefNonebiostatistics,
    title = "Biostatistiques",
    year = "Aucun",
    booktitle = "SpringerReference",
    url = "https://doi.org/10.1007/springerreference\_81623",
    doi = "10.1007/springerreference\_81623"
}

@misc{crossrefNoneolenus,
    title = "Olenus",
    year = "Aucun",
    booktitle = "Brill’s New Pauly",
    url = "https://doi.org/10.1163/1574-9347\_bnp\_e829860",
    doi = "10.1163/1574-9347\_bnp\_e829860",
    openalex = "W4245689868"
}