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Biostatistics and Health Sciences

Biostatistiques et sciences de la santé

BioStat - ISSN 2632-8291 - © ISTE Ltd

Aims and scope

Objectifs de la revue

The Biostatistics and Health Sciences journal focuses on statistics applied to clinical, epidemiologic, economic, psychological and sociological research, in medical biology. It publishes in priority articles written in French and English.
The aim of this journal is to make biostatistics and its application to human health issues go forward in its medical, economical, psychological and biological dimensions.

The papers can be of different types:

Methodological development works:
- the work should emphasize the development of new statistical methods applied to health sciences;
- an introduction describing the application and scientific objectives on which the new methods are concentrated and a discussion about the theoretical results on the basis of real data illustrating the issues is strongly advised;

- mathematical demonstrations, if provided, may be presented in the body of the article or as an appendix.

Innovative applications of existing statistical methods to data or real health problems:
- such applications, usually complex methods or a complex combination of simple methods, must be original;
- an introduction describing the application and scientific objectives of the actual study, of which data are analyzed, and a discussion section of the results are strongly advised.

Journal papers providing an overview of a specific area of biostatistic research in health science:
- the aim of these works will be to sum up the scientific results obtained in health science through biostatistics and/or recent methodological developments in this field;
- These papers may include an important aspect of popularizing knowledge for researchers and health professionals;
- French doctoral students and researchers in the health field and, more generally francophones, are strongly encouraged to submit their work.

Biostatistiques et sciences de la santé s’intéresse à la statistique appliquée à la recherche clinique et épidémiologique, en économie, en psychologie et sociologie de la santé, en biologie médicale etc. Elle publie prioritairement des articles écrits en français, et des articles en anglais.
L’objectif de cette revue est de faire avancer la biostatistique et son application à des problèmes de santé, dans ses dimensions médicale, économique, psychologique, sociologique et biologique etc.

Les articles peuvent être de différents types :

Des travaux de développement méthodologique :
- les travaux doivent mettre l’accent sur le développement de nouvelles méthodes statistiques appliquées aux sciences de la santé ;
- une introduction décrivant l’application et les objectifs scientifiques sur lesquels les nouvelles méthodes se concentrent, ainsi qu’une discussion des résultats théoriques à partir de données réelles illustrant les questions abordées est vivement conseillée ;
- les démonstrations mathématiques, si elles sont fournies, peuvent être présentées dans le corps de l’article ou en annexe.

Des applications innovantes de méthodes statistiques existantes à des données ou des problématiques réelles de la santé :
- de telles applications, le plus souvent de méthodes complexes ou de combinaison complexe de méthodes simples doivent être originales ;
- une introduction décrivant l’application et les objectifs scientifiques de l’étude réelle, dont les données sont analysées, et une section discussion des résultats sont vivement conseillées.

Des articles de revue dressant un état des lieux dans un domaine particulier de la recherche biostatitique en science de la santé :
- l’objectif de ces travaux sera de synthétiser les résultats scientifiques obtenus en sciences de la santé grâce à la biostatistique et/ou les développements méthodologiques récents de ce domaine ;
- ces articles pourront comprendre un aspect important de vulgarisation des connaissances à destination des chercheurs et des professionnels de la santé ;
- les doctorants et chercheurs en santé français et plus généralement francophones, sont vivement encouragés à soumettre leurs travaux.


Journal issues


Volume 19- 1

Issue 1


Volume 21- 2

Issue 1

Recent articles

Change detection in some climatic data and in some health data

We apply some new change point detection methods to a series of data relative to annual climatic anomalies, and to three series of data relative to the first wave of the Covid-19 in France in 2020. For each of t hese s (...)

Copulas and frailty models in multivariate survival data

The study of copulas and their applications in statistics, and in particular in biostatistics, is recent. Copulas play a important role in the modeling of the dependence structure between the marginal distributions and the (...)

On the asymptotic normality of a kernel conditional quantile estimator for censored and associated data

This paper aims at establishing the asymptotic normality for a kernel conditional quantile estimator in a right censorship model for which, the lifetime observations and the covariates are assumed to satisfy an association (...)

Zero-inflated regression models for right-censored counts, with an application to healthcare utilization

Zero-inflated models for censored and overdispersed count data have received little attention so far, except for the zero-inflated Poisson (ZIP) model which assumes that overdispersion is entirely caused by zero-inflation. (...)

Measuring Subjectivity in Health and Clinical Research: Have we gone through the whole question?

Health subjectivity measurement is essential to understand the interconnection complexity between physical health and psychological state of an individual. For this, all the elements that make up a subjective measurement (...)

Loss of functional independence of elderly people: an overview of autonomy trajectories based on a literature review

In order to anticipate preventive measures to support and maintain functional autonomy community-dwelling in elderly people followed prospectively and consequently delay loss of independence, a comprehension of the concept (...)

Some properties of a kernel conditional quantile estimator for associated data

This paper aims to establish some asymptotic properties of kernel estimators of the conditional distribution function and the conditional quantile when the lifetime observations and the covariates are (...)

Assessing Dunnett and MCP-Mod based approaches in two-stage dose-finding trials

Identifying the right, or the optimal, dose is one of the major difficulty during drug development. As a consequence, the dedicated dose-finding study is a key milestone in the drug development and recent methodological (...)

Editorial Board

Editor in Chief

Sorbonne Université


Jean-François DUPUY
INSA de Rennes
Université de Rennes 1

Philippe BROET


Jean-Benoit HARDOUIN
Université de Nantes

Université Paris 1 Panthéon-Sorbonne


Pascale TUBERT

Min-ge XIE
Rutgers University, Rutgers

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