36 hasil untuk "Ari Samaranayaka"
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Artikel Jurnal Teks lengkap
The role of pre-existing comorbidity on the rate of recovery following injury: A longitudinal cohort study
Understanding the role of comorbidity in recovery following injury is an important challenge given the increasing prevalence of multimorbidity (2 or more comorbidities) in many countries. The Prospective Outcomes of Injury Study recruited 2856 injured 18–64 year olds that had registered for…
Juga tersedia di: DOAJ
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Artikel Jurnal
The review process from a biostatistics perspective
We would like to provide an insight on how biostatisticians might review a journal article. We are writing this for two reasons: 1. You may intend to submit an article to a journal for publication. We hope this primer helps you avoid common pitfalls and mistakes in your write-up. 2. You may be…
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Artikel Jurnal
Health related surveys: sampling weights
n a previous article in this statistical primer series, we introduced commonly used sampling methods in health-related surveys. They include simple random sampling, stratified random sampling, and cluster sampling. If you have not read that primer already, or feel you need a refresher on the topic…
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Artikel Jurnal
Parametric vs nonparametric statistical methods: which is better, and why?
The statistical methods used in quantitative research can be described as either parametric or nonparametric. These terms are often misunderstood and thought to be describing the data. They are actually used to describe the assumptions underlying certain statistical methods.
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Artikel Jurnal
Understanding confidence intervals and why they are so important
Back in 1986, a paper came out in the British Medical Journal (BMJ) called “Confidence intervals rather than P values: estimation rather than hypothesis testing.” That was 35 years ago, and we are (unfortunately) still continuing the same discussion about P values and confidence intervals today. We…
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Artikel Jurnal
Health related surveys: sampling methods
Have you ever thought of running a survey? You could run an online survey! Word on the street is that they’re easy to do. We wish that were true! Surveys can be very tricky and there can be a lot of hidden hooks for the unwary. These hooks could be hidden in how you ask questions, how you recruit…
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Artikel Jurnal
How to collaborate with a Biostatistician
Health researchers in various disciplines often seek advice from, or collaboration with, biostatisticians. This advice and collaboration can vary from guidance on a specific point through to extensive collabo- ration over many years across all aspects of the research process. Anecdotally, the level…
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Artikel Jurnal
Understanding receiver operator characteristic (ROC) curves
Receiver operating characteristic (ROC) curves summarise graphically the trade-off between sensitivity and specificity for diagnostic tests.1 We will describe how to interpret these graphs, but first we need to understand how we assess diagnostic test accuracy and why we are interested in these…
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Artikel Jurnal
What statistical software should I use? And does it actually matter?
With so many options available, a question that researchers often ask us as biostatisticians is, “what statistical software should I use?” When faced with performing statistical analyses, if you search online, talk to your colleagues or supervisors, or browse your favourite bookstore, you will…
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Artikel Jurnal
Prevalence and predictors of disability for Māori 24 months after injury
Abstract Objective: To investigate post‐injury disability prevalence and identify pre‐injury and injury‐related predictors 24 months post‐injury among Māori Prospective Outcomes of Injury Study participants. Methods: Participants were recruited from New Zealand's no‐fault injury insurer. Pre‐injury…
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Artikel Jurnal
Psychological distress 12 years following injury in New Zealand: findings from the Prospective Outcomes of Injury Study-10 years on (POIS-10)
Abstract Background Injuries can have detrimental impacts on mental health, even after physical recovery. In our Prospective Outcomes of Injury Study (POIS), 25% of participants experienced psychological distress (assessed using the Kessler 6) three months after a sentinel injury event (SIE)…
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Artikel Jurnal
Migrants and disability following injury: findings from a prospective study in New Zealand
Abstract Objectives: To compare the prevalence of disability between migrants and non‐migrants at three and 24 months post‐injury, and to identify key predictors of post‐injury disability among migrants. Methods: Disability among 2,850 injured participants, including 677 migrants to New Zealand…
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Artikel Jurnal
Health-Related Quality of Life and Disability Among Older New Zealanders With Kidney Failure: A Prospective Study
Background: Disability is prevalent in individuals with kidney failure and can contribute to significantly reduced quality of life and survival. In older individuals with kidney failure, disability can be caused by a combination of factors, including issues directly related to their kidney disease…
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Artikel Jurnal
Pacific peoples three months after injury: a comparison of outcomes between Pacific and non‐Pacific participants in a NZ cohort study
Abstract Objectives: To: describe pre‐injury characteristics of Pacific (n=239) and non‐Pacific (n=2,611) participants and compare their outcomes three months after injury. Methods: Participants were New Zealand residents aged 18–64 years referred to the Accident Compensation Corporation's injury…
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Artikel Jurnal
What is ‘big data’ and what do biostatisticians and data managers want you to know about it?
By the end of this (not big) primer, we hope that you feel more comfortable identifying big data, understanding its opportunities and risks, and deciding whether and how it can help you in answering your own research questions.