Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijnurstu.2023.104478DOI Listing

Publication Analysis

Top Keywords

misinterpreting mrc
4
mrc framework
4
framework complex
4
complex interventions
4
misinterpreting
1
framework
1
complex
1
interventions
1

Similar Publications

Background: Analysis of urinary organic acids (UOAs) by gas chromatography mass-spectrometry (GC-MS) is widely used in metabolomic studies. It is a complex test with many limitations and pitfalls yet there is limited evidence in the literature to support best practice. This study investigated the impact of drying down time and temperature on the recovery of 16 key analytes from solvent extracts.

View Article and Find Full Text PDF

Estimands can be used in studies of healthcare interventions to clarify the interpretation of treatment effects. The addendum to the ICH E9 harmonised guideline on statistical principles for clinical trials (ICH E9(R1)) describes a framework for using estimands as part of a study. This paper provides an overview of the estimands framework, as outlined in the addendum, with the aim of explaining why estimands are beneficial; clarifying the terminology being used; and providing practical guidance on using estimands to decide the appropriate study design, data collection, and estimation methods.

View Article and Find Full Text PDF

Estimating life expectancy and years of life lost for autistic people in the UK: a matched cohort study.

Lancet Reg Health Eur

January 2024

UCL Research Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, 1 - 19 Torrington Place, London, WC1E 7HB, UK.

Background: Previous research has shown that people who have been diagnosed autistic are more likely to die prematurely than the general population. However, statistics on premature mortality in autistic people have often been misinterpreted. In this study we aimed to estimate the life expectancy and years of life lost experienced by autistic people living in the UK.

View Article and Find Full Text PDF

Purpose Of Review: Many studies on epidemiology of prostate cancer (PCa) are based on a diagnosis of PCa using PSA (prostate-specific antigen) level. However, biases can distort the interpretation of the results, which in turn limits policy and decision making on public health prevention strategies or clinical guidelines. The main confusion is to interpret the posterior probability of the outcome following the exposure as a change in the prevalence of the disease outcome, whereas this change reflects only the predictive values of the PSA test induced by the exposure of interest.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!