Association between higher mortgage payment-to-income ratio and greater psychological distress among high-income homeowners in Japan: A cross-sectional study by Kazuya Ogawa, Keiichi Shimatani, Ryotaro Iwayama, Norimichi Suzuki

“…We performed modified log Poisson regression analyses, incorporating income stratification, with missing data handled by multiple imputation. Results: For both overall respondents (PR = 1.22, 95 % CI 1.11–1.35) and the high-income group (PR = 1.23, 95 % CI 1.09–1.39), individuals with mortgage payment ratios ≥30 % were more likely to report psychological distress compared with those <30 %. …”
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Patch validation: an observational study protocol for the evaluation of a multisignal wearable sensor in patients during anaesthesia and in the postanaesthesia care unit by Marc Fischler, Morgan Le Guen, Pierre Squara, Sabrina Ma, Shérifa Adjavon, Bernard Trillat, Messaouda Merzoug, Philippe Aegerter

“…The secondary objectives will be to assess the same performance under anaesthesia, the frequency of missing data or artefacts, the diagnostic performance of the systems, the influence of patients’ characteristics on agreement between the two systems, the adverse events and the acceptability of the patch to patients. …”
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QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism by Jingqi Zhao, Chuitian Rong, Xin Dang, Huabo Sun

“…Attention mechanisms can maintain the correlation among QAR data and improve the capability of the model to impute missing data. Furthermore, we improve the proposed model by integrating a self-attention mechanism to further capture the relationship between different parameters within the QAR data. …”
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Feasibility and acceptability for LION, a fully remote, randomized clinical trial within the VA for light therapy to improve sleep in Veterans with and without TBI: An MTBI2 sponso... by Jonathan E Elliott, Jessica S Brewer, Allison T Keil, Brittany R Ligman, Mohini D Bryant-Ekstrand, Alisha A McBride, Katherine Powers, Savanah J Sicard, Elizabeth W Twamley, Maya E O'Neil, Andrea D Hildebrand, Thuan Nguyen, Benjamin J Morasco, Jessica M Gill, Bradley A Dengler, Miranda M Lim

“…Participant drop out occurred in <10% of those enrolled, incomplete/missing data was present in <15% of key outcome variables, and overall fidelity adherence to the intervention was >85%, collectively establishing feasibility and acceptability for MBLT in Veterans with mTBI.…”
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Investigating the Effects of Ionospheric Scintillation on Multi‐Frequency BDS‐2/BDS‐3 Signals at Low Latitudes by Hang Liu, Xiaodong Ren, Xiaohong Zhang, Dengkui Mei, Pengxin Yang

“…To alleviate the undesirable effects of missing data on GNSS positioning, we first investigate the inter‐frequency relationship and distribution probability of two significant spectral parameters, that is, T (the spectral strength of the phase noise at 1 Hz) and p (the spectral slope of the phase power spectral density) in the tracking jitter model among three BDS frequencies. …”
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TRIPOD statement: a preliminary pre-post analysis of reporting and methods of prediction models by Gary S Collins, Karel G M Moons, Lotty Hooft, Ewout W Steyerberg, Pauline Heus, Merel van Diepen, Friedo W Dekker, Amir H Zamanipoor Najafabadi, Chava L Ramspek, Wilco C Peul

“…More models were externally validated in the same article (absolute difference 8%, post-TRIPOD: 39%), used measures of calibration (21%, post-TRIPOD: 87%) and discrimination (9%, post-TRIPOD: 100%), and used multiple imputation for handling missing data (12%, post-TRIPOD: 50%).Conclusions Since the publication of the TRIPOD statement, some reporting and methodological aspects have improved. …”
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Risk prediction models for post-intensive care syndrome of ICU discharged patients: A systematic review by Pengfei Yang, Fu Yang, Qi Wang, Fang Fang, Qian Yu, Rui Tai

“…Following the literature screening process, we extracted data encompassing participant sources, post-intensive care syndrome (PICS) outcomes, sample sizes, missing data, predictive factors, model development methodologies, and metrics for model performance and evaluation. …”
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Data linkage of German statutory health insurance claims data and care needs assessments preceding a population-based cohort study on nursing home admission by Karin Wolf-Ostermann, Dominik Domhoff, Kathrin Seibert, Susanne Stiefler, Dirk Peschke

“…Records from two federal states could not be matched due to missing data. Linkage rates were lower where more people shared the same attributes. …”
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Evaluating the effects of time-restricted eating on overweight and obese women with polycystic ovary syndrome: A randomized controlled trial study protocol. by Hui Liu, Fuliang Shangguan, Fen Liu, Yu Guo, Huixi Yu, Hanbing Li, Yinhua Su, Zhongyu Li

“…All tests will be conducted using appropriate software, with a significance level set at P<0.05. Missing data will be imputed.<h4>Discussion</h4>The purpose of this study protocol is to further evaluate the effects of TRE in overweight and obese women with PCOS through a randomized controlled trial (RCT). …”
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Using routine data to examine factors associated with stillbirth in three tertiary maternity facilities in Kabul, Afghanistan by Zainab Ezadi, Sayed Murtaza Sadat Hofiani, Aliki Christou

“…Multivariable logistic regression was used to explore factors associated with stillbirth after performing multiple imputation to impute missing data for independent variables. Results A total of 497 cases (stillbirths) and 1069 controls (live births) were included in the analysis. …”
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Systematic review of the application of the Kidney Failure Risk Equation and Oxford classification in estimating prognosis in IgA Nephropathy by M. P. Toal, R. Fergie, M. P. Quinn, C. J. Hill, C. O’Neill, A. P. Maxwell

“…The risk of bias was high due to insufficient follow-up and handling of missing data, so overall confidence in findings is very low. …”
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Assessment of the methodological quality of studies on core outcome sets for respiratory diseases: A systematic review and meta-research study. by Mengjuan Liu, Jiajia Wang, Lu Wang, Xinyi Zhang, Ruiyu Hao, Duolao Wang, Tao Chen, Jiansheng Li

“…For the assessment of study protocols using the COS-STAP statement, the item with the lowest complete reporting rate was "missing data" (Item 9, 40.0%), while "description how outcomes may be dropped/combined, with reasons" (Item 5b, 60.0%) and "dissemination" (Item 11, 60.0%) had relatively low complete reporting rates. …”
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Risk prediction models for stress urinary incontinence after pelvic organ prolapse (POP) surgery: a systematic review and meta-analysis by Bi Jun Yu, Hao Chong He, Li Wang, Han Mei Shao, Ying Min Liu, Xiao Ying Yan, Jian Liu

“…All studies had a high risk of bias, primarily due to retrospective design, small sample sizes, single-center trials, lack of blinding, and missing data reporting. The meta-analysis revealed moderate heterogeneity (I² = 68.8%). …”
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Development and validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ) by Daisy Gaunt, Chris Salisbury, Mei-See Man, Katherine Chaplin, Polly Duncan, Mairead Murphy

“…For each question, we examined the proportion of missing data and the distribution of responses. Factor analysis, Cronbach’s alpha, Spearman’s rank correlations and longitudinal regression assessed dimensional structure, internal consistency reliability, construct validity and responsiveness, respectively. …”
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Assessing the feasibility of using publicly available data sources to identify healthcare data discrepancies and enhance service delivery: a retrospective cross-sectional study of... by Sheila Leatherman, Matthew Neilson, Alix Boisson-Walsh, Jack Lewis

“…Senegal had the most comprehensive data, with 94.7% of metrics available. Missing data existed for two specific metrics in all four countries, particularly within the improving clinical care domain.Conclusion The results are a clarion call for advancing efforts to develop standardised, publicly available, routinely collected and validated data sets to measure and publicly report LHDIS countries’ state of quality to marshal global attention and action in pursuit of more significant health equity.…”
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Hemoglobin-to-red blood cell distribution width ratio as a protective factor against coronary artery disease: a cross-sectional analysis of NHANES (2011-2018) by Xin-Da Wang, Chaoya Li, Jia Hu, Fen Cao, Li Zhu, Yongzhi Zhu, Zhongzheng Wen, Jun Liu

“…After excluding participants due to age, missing data, and potential confounding factors, 6,881 individuals were included in our study. …”
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Cost-effectiveness of metacognitive therapy for cardiac rehabilitation participants with symptoms of anxiety and/or depression: analysis of a randomised controlled trial by David Reeves, Calvin Heal, Patrick Joseph Doherty, Gemma E Shields, Adrian Wells, Lora Capobianco, Anthony Heagerty, Deborah Buck, Linda M Davies, Elizabeth Camacho

“…The time horizon of the primary analysis was a 12-month follow-up. Missing data were imputed using multiple imputation. …”
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Phenotypic and genotypic drug susceptibility patterns of Mycobacterium tuberculosis isolates from pulmonary tuberculosis patients in Central and Southern Ethiopia. by Melaku Tilahun, Teklu Wegayehu, Biniam Wondale, Tewdros Tariku Gebresilase, Tesfaye Gebreyohannes, Abraham Tekola, Mekdes Alemu, Sebsib Neway, Bethlehem Adnew, Maeruf Fetu Nassir, Yonas Kassahun, Abraham Aseffa, Kidist Bobosha

“…Due to invalid results and missing data, 6% (16/266) of the isolates were excluded, while 94% (250/266) were included in the paired analysis. …”
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Factors Associated With Missing Biological Samples in the Dog Aging Project by Sydney N. Holland, Amanda K. Tinkle, Jena N. Prescott, Brianna L. Blattman, Robyn L. McClelland, Yunbi Nam, Dog Aging Project Consortium, Kate E. Creevy, Virginia R. Fajt

“…ABSTRACT Background The Dog Aging Project (DAP) is a longitudinal study examining aging in US companion dogs, where missing data pose a challenge to result validity and statistical power. …”
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Prevalence and associated factors for poor mental health among young migrants in Sweden: a cross-sectional study by Sara Causevic, Anna Mia Ekström, Nicola Orsini, Anna Kagesten, Susanne Strömdahl, Mariano Salazar

“…Mental health was measured using the Refugee Health Screener-13. Missing data indicator analysis and multivariable logistic regression models were conducted to estimate the association between mental health, sexual risk behaviour, demographic and migration-related variables. …”
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