Biostatistical and medical statistics graduate education

Brimacombe, Michael

doi:10.1186/1472-6920-14-18

Cited by 17 publications

(10 citation statements)

References 18 publications

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“…Development of a Masters’ programme in the field of biostatistics within the health sciences is not only important for upskilling those clinicians and researchers who will undertake research in the expanding fields of genomics, proteomics, metagenomics and clinical trials [23], but is also of importance in providing a pipeline of skilled biostatistics tutors [13, 23]. This has also proven to be a cost saving measure as the curriculum for the Master’s programme includes training on consultation.…”

Section: Discussionmentioning

confidence: 99%

A biostatistical support system in health sciences: is this sustainable in a resource-restricted environment?

Libhaber

Chirwa

Kramer

2019

Health Res Policy Sys

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Background Training in biostatistics is important for strengthening capacity in health research. This is particularly true for Africa, where research output in the health sciences has been low. Training initiatives for the continent are therefore essential. The aim of the present study was to analyse the quality and financial sustainability of the expanded biostatistical support system at a South African health sciences institution between 2013 and 2017. Methods A cross-sectional investigation of the initiatives created between the years 2013 and 2017 in the University of the Witwatersrand, Faculty of Health Sciences Research Office was undertaken. An assessment of the one-on-one consultations carried out by postgraduate students and staff, financial costs of the support system and the number of postgraduate student graduations were analysed. Results The number of statistical consultations increased over the period examined. The consultations were highly recommended by the postgraduate students and staff (consulters). A clear rise in the number of Masters and PhD student graduates and an increase in research units were observed from 2013 to 2017, although these cannot be solely associated with the biostatistical support system. The finances for maintaining the support system are cost effective as the number of graduates increases. The total cost to the Research Office is US$ 225 per graduate per annum. Conclusions The expansion of the biostatistical support system has indirectly contributed to an increased number of graduates and research publication units in the institution. While the current finances support the system, any increases in enrolments or growth in diversification of biostatistical requirements may place a strain on the financial sustainability. This service is of value to developed and developing countries.

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Section: Discussionmentioning

confidence: 99%

A biostatistical support system in health sciences: is this sustainable in a resource-restricted environment?

Libhaber

Chirwa

Kramer

2019

Health Res Policy Sys

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“…As with other concepts in the increasingly complex field of medical statistics, this requires a foundational understanding of probability. 15 Moreover, given the interest of non-researchers (e.g., policymakers and the media) in scientific research, 16,17 future papers in which ORs are presented might take steps to help readers understand the sizes of the relative and absolute risks being described.…”

Section: Improving Communication About Relative and Absolute Riskmentioning

confidence: 99%

A Most Odd Ratio:

Persoskie

Ferrer

2017

American Journal of Preventive Medicine

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Introduction The OR is one of the most commonly used measures of association in preventive medicine, and yet it is unintuitive and easily misinterpreted by journal authors and readers. Methods This article describes correct interpretations of ORs, explains how ORs are different from risk ratios (RRs), and notes potential supplements and alternatives to the presentation of ORs that may help readers avoid confusion about the strength of associations. Results ORs are often interpreted as though they have the same meaning as RRs (i.e., ratios of probabilities rather than ratios of odds), an interpretation that is incorrect in cross-sectional and longitudinal analyses. Without knowing the base rate of the outcome event in such analyses, it is impossible to evaluate the size of the absolute or relative change in risk associated with an OR, and misinterpreting the OR as an RR leads to the overestimation of the effect size when the outcome event is common rather than rare in the study sample. In case-control analyses, whether an OR can be interpreted as an RR depends on how the controls were selected. Conclusions Education, peer reviewer vigilance, and journal reporting standards concerning ORs may improve the clarity and accuracy with which this common measure of association is described and understood in preventive medicine and public health research.

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“…A biostatistical analysis is commonly used in clinical and non-clinical research (Awaisu and Alsalimy, 2015). It defines as "areas of applied mathematics that are required for the proper design and analysis of most experimental or observational data" (Brimacombe, 2014). A complete understanding of clinical research is essential for all pharmacists, including those who are and those who are not actively involved in conducting research.…”

Section: Introductionmentioning

confidence: 99%

Biostatistical analysis knowledge of pharmacy research in the Kingdom of Saudi Arabia

al.¹

2020

Int. j. adv. appl. sci.

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The aim of the current study is to explore the Biostatistical analysis of basic knowledge of Pharmacy Research in the Kingdom of Saudi Arabia. It is a 4months cross-sectional survey of biostatistical knowledge used in pharmacy research. The survey consisted of two-part demographic information and the second part about pharmacist information related to the biostatistical analysis knowledge of pharmaceutical research. The 5-point Likert response scale system used. There were two methods for validation done in the current study; more than two of the authors reviewed the survey independently, the pilot study had been done, then the survey corrects accordingly, and the Cronbach's alpha test for internal reliability. The survey made an electronic format, and it analyzed through Statically Package of Social Sciences (SPSS) version 20, and survey monkey system. The total response was 209 pharmacists. The average score level of knowledge of using all types of statistical analyses in Pharmacy research was (3.23) 64.6 %. The top highest scores of the knowledge of type statistical analysis were Mean (3.73), P-value (3.70), and Standard Deviation (3.67). While the lowest score knowledge of type statistical analysis was Tukey test (2.64), McNemar Test (2.70), and Yates correction for Chi-Square (2.87). The average score level of knowledge of using the software in the statistical analysis in the Pharmacy research was (3.24) 64.8 %. The top highest scores of the experience were Microsoft Excel (3.82), and Microsoft Access (3.29); while the lowest score knowledge was SAS (2.75), and SPSS (3.08). The Cronbach's alpha test results were 0.985. The biostatistical analysis knowledge among pharmacists inadequate in the Saudi Arabia, similar to previous studies. Comprehensive education and training of biostatistics used in pharmacy research are very demandable for pharmacists in Saudi Arabia. Further study with a large scale of the pharmacist, including students, is highly recommended in the Kingdom of Saudi Arabia.

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Biostatistical and medical statistics graduate education

Cited by 17 publications

References 18 publications

A biostatistical support system in health sciences: is this sustainable in a resource-restricted environment?

A biostatistical support system in health sciences: is this sustainable in a resource-restricted environment?

A Most Odd Ratio:

Biostatistical analysis knowledge of pharmacy research in the Kingdom of Saudi Arabia

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