Sara López‐Pintado

ORCID: 0000-0002-3234-5359
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About
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Research Areas
  • Advanced Statistical Methods and Models
  • Advanced Statistical Process Monitoring
  • Statistical Methods and Inference
  • Health Systems, Economic Evaluations, Quality of Life
  • Atrial Fibrillation Management and Outcomes
  • Statistical Methods and Applications
  • Fuzzy Systems and Optimization
  • Asthma and respiratory diseases
  • Gene expression and cancer classification
  • Cystic Fibrosis Research Advances
  • Family Support in Illness
  • Morphological variations and asymmetry
  • Forest ecology and management
  • Mental Health Research Topics
  • Air Quality and Health Impacts
  • Noise Effects and Management
  • COVID-19 epidemiological studies
  • Molecular Biology Techniques and Applications
  • Heart Failure Treatment and Management
  • Acute Myocardial Infarction Research
  • Allergic Rhinitis and Sensitization
  • Muscle Physiology and Disorders
  • Neonatal Respiratory Health Research
  • Cancer survivorship and care
  • Nutrition and Health in Aging

Northeastern University
2020-2024

Health Sciences North
2023

Universidad Pablo de Olavide
2007-2022

Universidad del Noreste
2020-2022

Columbia University
2010-2019

Columbia University Irving Medical Center
2013

Universidad Carlos III de Madrid
2006-2009

Rutgers Sexual and Reproductive Health and Rights
2006

The statistical analysis of functional data is a growing need in many research areas. In particular, robust methodology important to study curves, which are the output experiments applied statistics. As starting point for this analysis, we propose, analyze, and apply new definition depth observations based on graphic representation curves. Given collection functions, it establishes “centrality” an observation provides natural center-outward ordering sample Robust statistics, such as median...

10.1198/jasa.2009.0108 article EN Journal of the American Statistical Association 2009-05-26

10.1016/j.csda.2010.10.024 article EN Computational Statistics & Data Analysis 2010-11-01

10.1007/s11634-014-0166-6 article EN Advances in Data Analysis and Classification 2014-03-04

BackgroundIn low-income and middle-income countries, invasive mechanical ventilation is often not available for children at risk of death from respiratory failure. We aimed to determine if continuous positive airway pressure (CPAP), a form non-invasive ventilation, decreases all-cause mortality in with undifferentiated distress Ghana.MethodsThis open-label, cluster, crossover trial was done two Ghanaian non-tertiary hospitals where routinely available. Eligible participants were aged 1 month...

10.1016/s2214-109x(17)30145-6 article EN cc-by-nc-nd The Lancet Global Health 2017-05-09

10.1016/j.csda.2006.10.029 article EN Computational Statistics & Data Analysis 2006-12-16

In patients undergoing stem cell transplantation (SCT), nonadherence has potential for significant medical impact and potentially life-threatening complications. No study thus far demonstrated an effective way to predict adherence in SCT recipients. A structured rating scale, the Stanford Integrated Psychosocial Assessment Transplantation (SIPAT), been shown psychosocial outcomes morbidity solid organ transplant We assessed SIPAT hypothesized that would be associated with post-SCT regimen....

10.1016/j.bbmt.2019.06.019 article EN cc-by-nc-nd Biology of Blood and Marrow Transplantation 2019-06-24

Rationale: Cystic fibrosis (CF) is a genetic disease leading to progressive lung function loss and early mortality. Many clinical demographic variables are associated with decline, but little known about the effects of prolonged periods missed care. Objectives: To determine if care in Fibrosis Foundation Patient Registry (CFFPR) decreased at follow-up visits. Methods: Deidentified CFFPR data for 2004-2016 were analyzed, exposure interest being ⩾12-month gap data. We modeled percentage...

10.1513/annalsats.202211-951oc article EN Annals of the American Thoracic Society 2023-04-07

Growth trajectories play a central role in life course epidemiology, often providing fundamental indicators of prenatal or childhood development, as well an array potential determinants adult health outcomes. Statistical methods for the analysis growth have been widely studied, but many challenging problems remain. Repeated measurements length, weight and head circumference, example, may be available on most subjects study, usually only sparse temporal sampling such variables is feasible. It...

10.1017/s2040174411000572 article EN Journal of Developmental Origins of Health and Disease 2011-10-12

Purpose To assess the relationship between diffusion‐weighted imaging (DWI) and intravoxel incoherent motion (IVIM)‐derived quantitative parameters (apparent diffusion coefficient [ADC], perfusion fraction [f], D slow , [D], fast pseudodiffusion [D*]) histopathology in pancreatic adenocarcinoma (PAC). Materials Methods Subjects with suspected surgically resectable PAC were prospectively enrolled this Health Insurance Portability Accountability Act (HIPAA)‐compliant, Institutional Review...

10.1002/jmri.25581 article EN Journal of Magnetic Resonance Imaging 2017-02-02

Cachexia, a wasting syndrome associated with advanced cancer and metastasis, is rarely documented in breast patients. However, the incidence of cachexia now thought to be largely underestimated. In our case report patient bone metastasis monitored during course her treatment, we document development by image analysis relation metastatic burden. Elucidation link between burden could unveil highly specific screening process for assessing true muscle mass loss. Our was 49-year-old premenopausal...

10.4137/cmo.s40479 article EN cc-by-nc Clinical Medicine Insights Oncology 2016-01-01

Microarray experiments provide data on the expression levels of thousands genes and, therefore, statistical methods applicable to analysis such high-dimensional are needed. In this paper, we propose robust nonparametric tools for description and microarray based concept functional depth, which measures centrality an observation within a sample. We show that can be easily adapted observations in particular, gene data. This allows development following depth-based inference tools: (1) scale...

10.1093/biostatistics/kxp056 article EN Biostatistics 2010-01-11

We develop a novel exploratory tool for non-Euclidean object data based on depth, extending celebrated Tukey's depth Euclidean data. The proposed metric halfspace applicable to objects in general space, assigns points values that characterize the centrality of these with respect distribution and provides an interpretable center-outward ranking. Desirable theoretical properties generalize standard postulated are established depth. median, defined as deepest point, is shown have high...

10.1080/01621459.2021.2011298 article EN Journal of the American Statistical Association 2021-12-02

Abstract Exercise has widely documented cardioprotective effects, but the mechanisms behind these effects are still poorly understood. Here, we test hypothesis that aerobic training lowers cardiovascular sympathetic responses to and speeds recovery from challenge. We conducted a randomized, controlled trial contrasting versus strength on indices of cardiac (pre‐ejection period, PEP ) vascular (low‐frequency blood pressure variability, LF‐BPV psychological orthostatic challenge in 149 young,...

10.1111/psyp.12078 article EN Psychophysiology 2013-07-28
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