Breaking the Bayesian Ice with Preclinical Discovery Biologists by Predicting Inadequate Animal Enrolment
TE Bradstreet - Statistics in Biopharmaceutical Research, 2021 - Taylor & Francis
An initial proposal was made to start 30 monkeys in the run-in period of a preclinical
translational research study, to have 24 or more animals qualify for randomization in the …
translational research study, to have 24 or more animals qualify for randomization in the …
In search of preclinical robustness
IS Peers, PR Ceuppens, C Harbron - Nature reviews Drug discovery, 2012 - nature.com
In search of preclinical robustness | Nature Reviews Drug Discovery Skip to main content
Thank you for visiting nature.com. You are using a browser version with limited support for …
Thank you for visiting nature.com. You are using a browser version with limited support for …
Reducing the false discovery rate of preclinical animal research with Bayesian statistical decision criteria
R Kelter - Statistical Methods in Medical Research, 2023 - journals.sagepub.com
The success of preclinical research hinges on exploratory and confirmatory animal studies.
Traditional null hypothesis significance testing is a common approach to eliminate the chaff …
Traditional null hypothesis significance testing is a common approach to eliminate the chaff …
[HTML][HTML] Why are not there more Bayesian clinical trials? Perceived barriers and educational preferences among medical researchers involved in drug development
Medical Outreach Subteam of the Drug … - … Innovation & Regulatory …, 2022 - Springer
Abstract Objective and Background The clinical trials community has been hesitant to adopt
Bayesian statistical methods, which are often more flexible and efficient with more naturally …
Bayesian statistical methods, which are often more flexible and efficient with more naturally …
Bayesian versus frequentist clinical trials
D Teira - 2011 - philpapers.org
I will open the first part of this paper by trying to elucidate the frequentist foundations of
RCTs. I will then present a number of methodological objections against the viability of these …
RCTs. I will then present a number of methodological objections against the viability of these …
Using Bayesian analysis in repeated preclinical in vivo studies for a more effective use of animals
R Walley, J Sherington, J Rastrick… - Pharmaceutical …, 2016 - Wiley Online Library
Whilst innovative Bayesian approaches are increasingly used in clinical studies, in the
preclinical area Bayesian methods appear to be rarely used in the reporting of …
preclinical area Bayesian methods appear to be rarely used in the reporting of …
Inferential statistics, power estimates, and study design formalities continue to suppress biomedical innovation
SE Kern - arXiv preprint arXiv:1411.0919, 2014 - arxiv.org
Innovation is the direct intended product of certain styles in research, but not of others.
Fundamental conflicts between descriptive vs inferential statistics, deductive vs inductive …
Fundamental conflicts between descriptive vs inferential statistics, deductive vs inductive …
Why are There not More Bayesian Clinical Trials? Ability to Interpret Bayesian and Conventional Statistics Among Medical Researchers
Medical Outreach Team of the Drug Information … - … Innovation & Regulatory …, 2023 - Springer
Abstract Objective and Background We assessed current understandings in interpretation of
Bayesian and traditional statistical results within the clinical researcher (non-statistician) …
Bayesian and traditional statistical results within the clinical researcher (non-statistician) …
[HTML][HTML] A tutorial on modern Bayesian methods in clinical trials
N Muehlemann, T Zhou, R Mukherjee… - … Innovation & Regulatory …, 2023 - Springer
Clinical trials continue to be the gold standard for evaluating new medical technologies.
New advancements in modern computation power have led to increasing interest in …
New advancements in modern computation power have led to increasing interest in …
Experimental planning and execution
K Mullane, MJ Curtis, M Williams - Research in the Biomedical Sciences, 2018 - Elsevier
The lack of reproducibility in biomedical research has been consistently attributed to the
misuse of statistics, naïve inference/extrapolation from animal models, and fraud. However …
misuse of statistics, naïve inference/extrapolation from animal models, and fraud. However …