Search Results - "Omar, Rumana"

Refine Results
  1. 1

    Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with multiple primary outcomes by Vickerstaff, Victoria, Omar, Rumana Z, Ambler, Gareth

    Published in BMC medical research methodology (21-06-2019)
    “…Multiple primary outcomes may be specified in randomised controlled trials (RCTs). When analysing multiple outcomes it's important to control the family wise…”
    Get full text
    Journal Article
  2. 2

    Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events by Pavlou, Menelaos, Ambler, Gareth, Seaman, Shaun, De Iorio, Maria, Omar, Rumana Z

    Published in Statistics in medicine (30-03-2016)
    “…Risk prediction models are used to predict a clinical outcome for patients using a set of predictors. We focus on predicting low‐dimensional binary outcomes…”
    Get full text
    Journal Article
  3. 3

    How to develop a more accurate risk prediction model when there are few events by Pavlou, Menelaos, Ambler, Gareth, Seaman, Shaun R, Guttmann, Oliver, Elliott, Perry, King, Michael, Omar, Rumana Z

    Published in BMJ (Online) (11-08-2015)
    “…When the number of events is low relative to the number of predictors, standard regression could produce overfitted risk models that make inaccurate…”
    Get full text
    Journal Article
  4. 4

    Seroprevalence of SARS-CoV-2 antibodies in people with an acute loss in their sense of smell and/or taste in a community-based population in London, UK: An observational cohort study by Makaronidis, Janine, Mok, Jessica, Balogun, Nyaladzi, Magee, Cormac G, Omar, Rumana Z, Carnemolla, Alisia, Batterham, Rachel L

    Published in PLoS medicine (01-10-2020)
    “…Loss of smell and taste are commonly reported symptoms associated with coronavirus disease 2019 (COVID-19); however, the seroprevalence of severe acute…”
    Get full text
    Journal Article
  5. 5

    A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM risk-SCD) by O'Mahony, Constantinos, Jichi, Fatima, Pavlou, Menelaos, Monserrat, Lorenzo, Anastasakis, Aristides, Rapezzi, Claudio, Biagini, Elena, Gimeno, Juan Ramon, Limongelli, Giuseppe, McKenna, William J, Omar, Rumana Z, Elliott, Perry M

    Published in European heart journal (07-08-2014)
    “…Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death (SCD) in young adults. Current risk algorithms provide only a crude estimate of…”
    Get full text
    Journal Article
  6. 6

    Penalized Regression Methods With Modified Cross‐Validation and Bootstrap Tuning Produce Better Prediction Models by Pavlou, Menelaos, Omar, Rumana Z., Ambler, Gareth

    Published in Biometrical journal (01-07-2024)
    “…ABSTRACT Risk prediction models fitted using maximum likelihood estimation (MLE) are often overfitted resulting in predictions that are too extreme and a…”
    Get full text
    Journal Article
  7. 7

    Non-pharmacological interventions for agitation in dementia: systematic review of randomised controlled trials by Livingston, Gill, Kelly, Lynsey, Lewis-Holmes, Elanor, Baio, Gianluca, Morris, Stephen, Patel, Nishma, Omar, Rumana Z., Katona, Cornelius, Cooper, Claudia

    Published in British journal of psychiatry (01-12-2014)
    “…Agitation in dementia is common, persistent and distressing and can lead to care breakdown. Medication is often ineffective and harmful. To systematically…”
    Get full text
    Journal Article
  8. 8

    Sample size calculation for a stepped wedge trial by Baio, Gianluca, Copas, Andrew, Ambler, Gareth, Hargreaves, James, Beard, Emma, Omar, Rumana Z

    “…Stepped wedge trials (SWTs) can be considered as a variant of a clustered randomised trial, although in many ways they embed additional complications from the…”
    Get full text
    Journal Article
  9. 9

    Living and dying with advanced dementia: A prospective cohort study of symptoms, service use and care at the end of life by Sampson, Elizabeth L, Candy, Bridget, Davis, Sarah, Gola, Anna Buylova, Harrington, Jane, King, Michael, Kupeli, Nuriye, Leavey, Gerry, Moore, Kirsten, Nazareth, Irwin, Omar, Rumana Z, Vickerstaff, Victoria, Jones, Louise

    Published in Palliative medicine (01-03-2018)
    “…Background: Increasing number of people are dying with advanced dementia. Comfort and quality of life are key goals of care. Aims: To describe (1) physical and…”
    Get full text
    Journal Article
  10. 10

    The accuracy of clinician predictions of survival in the Prognosis in Palliative care Study II (PiPS2): A prospective observational study by Stone, Patrick C, Chu, Christina, Todd, Chris, Griffiths, Jane, Kalpakidou, Anastasia, Keeley, Vaughan, Omar, Rumana Z, Vickerstaff, Victoria

    Published in PloS one (14-04-2022)
    “…Prognostic information is important for patients with cancer, their families, and clinicians. In practice, survival predictions are made by clinicians based on…”
    Get full text
    Journal Article
  11. 11

    A comparison of methods for analysing multiple outcome measures in randomised controlled trials using a simulation study by Vickerstaff, Victoria, Ambler, Gareth, Omar, Rumana Z.

    Published in Biometrical journal (01-03-2021)
    “…Multiple primary outcomes are sometimes collected and analysed in randomised controlled trials (RCTs), and are used in favour of a single outcome. By…”
    Get full text
    Journal Article
  12. 12
  13. 13

    Cerebral Magnetic Resonance Biomarkers in Neonatal Encephalopathy: A Meta-analysis by Thayyil, Sudhin, Chandrasekaran, Manigandan, Taylor, Andrew, Bainbridge, Alan, Cady, Ernest B, Chong, W. K. Kling, Murad, Shahed, Omar, Rumana Z, Robertson, Nicola J

    Published in Pediatrics (Evanston) (01-02-2010)
    “…Accurate prediction of neurodevelopmental outcome in neonatal encephalopathy (NE) is important for clinical management and to evaluate neuroprotective…”
    Get full text
    Journal Article
  14. 14

    Risk prediction in multicentre studies when there is confounding by cluster or informative cluster size by Pavlou, Menelaos, Ambler, Gareth, Omar, Rumana Z

    Published in BMC medical research methodology (04-07-2021)
    “…Abstract Background Clustered data arise in research when patients are clustered within larger units. Generalised Estimating Equations (GEE) and Generalised…”
    Get full text
    Journal Article
  15. 15

    Review and evaluation of performance measures for survival prediction models in external validation settings by Rahman, M Shafiqur, Ambler, Gareth, Choodari-Oskooei, Babak, Omar, Rumana Z

    Published in BMC medical research methodology (18-04-2017)
    “…When developing a prediction model for survival data it is essential to validate its performance in external validation settings using appropriate performance…”
    Get full text
    Journal Article
  16. 16

    An evaluation of sample size requirements for developing risk prediction models with binary outcomes by Pavlou, Menelaos, Ambler, Gareth, Qu, Chen, Seaman, Shaun R, White, Ian R, Omar, Rumana Z

    Published in BMC medical research methodology (10-07-2024)
    “…Risk prediction models are routinely used to assist in clinical decision making. A small sample size for model development can compromise model performance…”
    Get full text
    Journal Article
  17. 17
  18. 18
  19. 19

    Predictors of atrial fibrillation in hypertrophic cardiomyopathy by Guttmann, Oliver P, Pavlou, Menelaos, O'Mahony, Constantinos, Monserrat, Lorenzo, Anastasakis, Aristides, Rapezzi, Claudio, Biagini, Elena, Gimeno, Juan Ramon, Limongelli, Giuseppe, Garcia-Pavia, Pablo, McKenna, William J, Omar, Rumana Z, Elliott, Perry M

    Published in Heart (British Cardiac Society) (01-05-2017)
    “…Atrial fibrillation (AF) is associated with increased morbidity and mortality in patients with hypertrophic cardiomyopathy (HCM). The primary aim of this study…”
    Get more information
    Journal Article
  20. 20

    A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome by Ambler, Gareth, Omar, Rumana Z, Royston, Patrick

    Published in Statistical methods in medical research (01-06-2007)
    “…Risk models that aim to predict the future course and outcome of disease processes are increasingly used in health research, and it is important that they are…”
    Get full text
    Journal Article