Introduction
The National Health and Medical Research
Council (NHMRC) of Australia spends over $800 million 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 availability and scale of new data, needing a better grasp of
statistical concerns and computational tools.
The problem
In
the presence of unpredictability 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 computational 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 [of 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.
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, from
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 mathematical 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 time-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.
Potential solutions
Inappropriately,
there is 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 dramatic changes in the data science landscape
to ensure that graduates have the necessary breadth of knowledge.
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