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Biostatistics series module 1: Basics of biostatistics
Indian Journal of Dermatology, 2016 Although application of statistical methods to biomedical research began only some 150 years ago, statistics is now an integral part of medical research. A knowledge of statistics is also becoming mandatory to understand most medical literature.
Avijit Hazra, Nithya Gogtay
doaj +4 more sources
Deep determinism and the assessment of mechanistic interaction between categorical and continuous variables [PDF]
Biostatistics 14 (2013), 502-513, 2010 Our aim is to detect mechanistic interaction between the effects of two causal factors on a binary response, as an aid to identifying situations where the effects are mediated by a common mechanism. We propose a formalization of mechanistic interaction which acknowledges asymmetries of the kind "factor A interferes with factor B, but not viceversa".
A. Philip Dawid +32 more
arxiv +4 more sources
Statistical modeling of causal effects in continuous time [PDF]
Annals of Statistics 2008, Vol. 36, No. 3, 1464-1507, 2004 This article studies the estimation of the causal effect of a time-varying treatment on time-to-an-event or on some other continuously distributed outcome. The paper applies to the situation where treatment is repeatedly adapted to time-dependent patient characteristics.
Lok, Judith J.
arxiv +4 more sources
AAS Open Research, 2020 The increase in health research in sub-Saharan Africa (SSA) has led to a high demand for biostatisticians to develop study designs, contribute and apply statistical methods in data analyses. Initiatives exist to address the dearth in statistical capacity
Jupiter Simbeye +2 more
exaly +4 more sources
Statistica, 2013 This paper offers reflections on the biostatistic sciences, from their origin to the present, following the path of two historic and prestigious journals: Biometrika and Biometrics.
Paola Monari
doaj +3 more sources
Statistical Science, 1990 Attitudes of biostatisticians toward implementation of the Bayesian paradigm have changed during the past decade due to the increased availability of computational tools for realistic problems. Empirical Bayes' methods, already widely used in the analysis of longitudinal data, promise to improve cancer incidence maps by accounting for overdispersion ...
Norman E. Breslow
openalex +4 more sources
Badges for sharing data and code at Biostatistics: an observational study
F1000Research, 2018 Background: The reproducibility policy at the journal Biostatistics rewards articles with badges for data and code sharing. This study investigates the effect of badges at increasing reproducible research. Methods: The setting of this observational study
Anisa Rowhani-farid, Adrian G Barnett
exaly +2 more sources
Biostatistics for Parasitologists – A Primer to Quantitative Parasitology
Trends in Parasitology, 2019 Muhammad Shoaib +2 more
exaly +2 more sources