Biostatistics is a critical subject in current health data research – Pubrica
                     BIOSTATISTICS IS 
A  CRITICAL 
SUBJECT IN  
CURRENT HEALTH  
An Academic presentation
by  Dr.DNanAcy ATgnAes, H eRad,ETecShniEcalAOpReraCtionHs,
Pubrica
Group:
www.pubrica.com  Email:
[email protected]
Today's 
Introduction 
O Tuhe tline
problem
Necessary 
steps
The international situation and Australia’s position 
 Potential solutions
About Pubrica
Introduction
The National Health and Medical Research Council  
(NHMRC) of Australia spends over $800 mill ion per  
year on medical  and public health research, most of  
which is dependent on accurate data  analysis and  
interpretation.
We suggest that unless considerable attention is  
made  to strengthening the  essential scientific  
discipline of Bio Statistical Programming Services, the  
value of our health research investment, in terms of  
better health and lives saved, is endangered.
This danger is exacerbated by the development of research opportunities  
provided by the significant data  age, which quickly increases the availabil i ty  
and scale of new data, needing a  better grasp of statistical concerns and  
computat ional  tools.
Concerns about Austra lia ’s b iosta t ist ica l underp innings were expressed in a 
 statement  released by the International Society of Biostatistics.

THE 
PIn Rthe OpresBenceL ofE unpMredictabil i ty and uncertainty, statistical reasoning  
offers the theoretical foundation for extracting information from data.
Most experimental research in public health and clinical care relies on  
biostatistical input on everything from study design to data analysis and  
reporting, with the best studies combining biostatistical information on  
everything from study design to data  analysis and recording.
Clinical biostatistics programming service approaches are at  the  
foundation of essential public health research disciplines, including  
epidemiology and health services research, a  function that reflects the  
discipline’s basic character.
On the other hand, bioinformatics and computat ional  biology are vital  
emerging areas in data-intensive biomedical  research that are anchored  
by statistical principles and methodologies and components highly  
informed by other basic disciplines like computer science and  
mathematics.
“These issues [o f  poor study design, conduct, and analysis] are often  
related to misuse of statistical methods, which is exacerbated by  
inadequate training in methods,” according to a  recent review of the scale 
 of waste and ineffectiveness in health research, echoing similar  
observations made  more than two decades earlier.
Importantly, biostatistics, as a  subdiscipline of clinical case report  
statistical service (perhaps the first “data science “5), is a  recognized  
scientific discipline in its own right, rather than a  collection of procedures  
that  must  be appl ied appropriately.
Not only does good biostatistical work include an understanding of  
mathematics, probability, and causes of bias, which underpin statistical  
theory and methodologies, but  it also necessitates (and  increasingly)  
substantial  technological capabilities, such as computers.
To develop these abilities and the understanding required to conceptualize 
 issues and traverse the difficult seas between real-world health 
challenges  and complicated methodologies, in-depth training is 
essential.
According to a  recent analysis, most physicians struggle to complete such 
 training. A superficial comprehension of statistics can readily lead to  
improper behaviour and be criticized.
Necessary steps
Recognition of biostatistics as an academic field, essential to the  intellectual 
architecture of the larger research enterprise, is required for the  development 
of biostatistics as a  core subject within educational health  and medical  
research.
This necessitates systems that support biostatistical work at  all levels, 
f rom  nonspecialists like physicians through master’s level biostatistics 
graduates  and doctorate students, postdoctoral researchers, and 
research leaders in  biostatistical methods.
·The requirement for academic effort across this spectrum is common in  
other fields of science, but  it is sometimes overlooked in biostatistics due to 
 a  propensity to treat the subject as merely a  toolset of procedures rather  
than a  growing scientific discipline.
Medical Biostatistical Programming Service comprises a  long process that  
includes mathemat ica l  derivations and conceptualizations, simulation  
studies, thorough case studies, and the translation of newly created  
methodologies for use by other researchers.
·The development of marginal  structural models, which enabled the  
appropriate handling  of t ime-dependent confounding in treatment  
decisions based on CD4 cell count levels that are themselves affected by  
treatment, was critical in the wave of research into antiretrovirals for the  
treatment  of human immunodeficiency virus infection.
The training of future biostatistical leaders must  also include experience in 
 methodological  research.
THE INTERNATIONAL  
SITUATION AND 
AUSTRALIA’S  POSITION
Other countries have recognized the critical role of biostatistics in health  
and medical  research. Many major universities in the United States have  
biostatistics departments established in the 1970s thanks to financing from 
 the National Institutes of Health for biostatistical research training  
programmes, with a  call for a  renewed effort to expand biostatistical  
training programmes in 2006.
In a  similar vein, the Medical Research Council in the United Kingdom has  
long supported a  national centre in biostatistical methodology — the  
Medical Research Council’s Biostatistics Unit — and many  methodology  
hubs whose core research agenda is the statistical methodology, which  
has been funded since 2009.
Sim ila r to Europe and the United Sta tes, Austra lia has never
invested  systematically in developing biostatistics, either in universities or 
industry.
POTENTIAL 
SInOappLropUriatTelyI, OtheNre iSs no simple fix for the issues raised, but we feel the  
following initiatives are necessary to enhance and promote the biostatistics field 
 in Australia
Universities and research institutes must  foster the  development of  
organizational structures with a  critical mass of academic biostatisticians  
working in methodology and collaborating with health researchers, as well as  
training opportunities and career development for biostatisticians;
Biostatistics Clinical trial Research Services and advanced training must  keep  
pace with the dramat ic  changes in the data science landscape to ensure that  
graduates have the necessary breadth of knowledge.
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