Results 41 to 50 of about 1,714,069 (326)

Biased Estimation of Adjusted Odds Ratios From Incomplete Covariate Data Due to Violation of the Missing at Random Assumption [PDF]

, 1996
We investigate the possible bias due to an erroneous missing at random assumption if adjusted odds ratios are estimated from incomplete covariate data using the maximum likelihood principle.
Illi, S., Vach, W.
core   +2 more sources

Multiple robust estimation of parameters in varying-coefficient partially linear model with response missing at random

Mathematical Modelling and Control, 2022
In this paper, we consider the multiple robust estimation of the parameters in the varying-coefficient partially linear model with response missing at random.
Yaxin Zhao, Xiuli Wang
doaj   +1 more source

An empirical comparison of Bayesian modelling strategies for missing binary outcome data in network meta-analysis

BMC Medical Research Methodology, 2019
Background A number of strategies have been proposed to handle missing binary outcome data (MOD) in systematic reviews. However, none of these have been evaluated empirically in a series of published systematic reviews. Methods Using published systematic
Loukia M. Spineli
doaj   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

bcROCsurface: an R package for correcting verification bias in estimation of the ROC surface and its volume for continuous diagnostic tests

BMC Bioinformatics, 2017
Background Receiver operating characteristic (ROC) surface analysis is usually employed to assess the accuracy of a medical diagnostic test when there are three ordered disease status (e.g. non-diseased, intermediate, diseased). In practice, verification
Khanh To Duc
doaj   +1 more source

Missing data and multiple imputation in clinical epidemiological research [PDF]

, 2017
Missing data are ubiquitous in clinical epidemiological research. Individuals with missing data may differ from those with no missing data in terms of the outcome of interest and prognosis in general. Missing data are often categorized into the following
Cronin-Fenton, D, Kristensen, NR, Mikkelsen, EM, Pedersen, AB, Pedersen, L, Petersen, I, Tra, MP   +6 more
core   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

Radiotherapy Delivery in Deep Inspiration for Pediatric Patients—Final Results of the Phase II Feasibility Study TEDDI

Pediatric Blood &Cancer, EarlyView.
Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard, Anni Young Lundgaard, Laura Ann Rechner, Danijela Dejanovic, Hanne Krogh Rose, Jolanta Hansen, Leila Vaalavirta, Miia Mokka, Marianne Aznar, Peder Skov Wehner, Lisa Lyngsie Hjalgrim, Maja Vestmø Maraldo   +11 more
wiley   +1 more source

Implementing Multiple Imputation for Missing Data in Longitudinal Studies When Models are Not Feasible: An Example Using the Random Hot Deck Approach

Clinical Epidemiology, 2022
Chinchin Wang,1,2 Tyrel Stokes,3 Russell J Steele,3 Niels Wedderkopp,4 Ian Shrier1 1Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, H3T 1E2, Canada; 2Department of Epidemiology ...
Wang C, Stokes T, Steele RJ, Wedderkopp N, Shrier I   +4 more
doaj  

Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study

BMC Medical Research Methodology, 2020
Background Within routinely collected health data, missing data for an individual might provide useful information in itself. This occurs, for example, in the case of electronic health records, where the presence or absence of data is informative.
Matthew Sperrin, Glen P. Martin
doaj   +1 more source