Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis

mice: Multivariate Imputation by Chained Equations in R

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Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647

Random effects structure for confirmatory hypothesis testing: Keep it maximal

Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013) · Journal of Memory and Language · doi:10.1016/j.jml.2012.11.001 · Cited by 10,328

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., Marquéz, J. R. G., Gruber, B., Lafourcade, B., Leitão, P. J., et al. (2013) · Ecography · doi:10.1111/j.1600-0587.2012.07348.x · Cited by 9,998

Novel methods improve prediction of species’ distributions from occurrence data

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Generalized linear mixed models: a practical guide for ecology and evolution

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Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples

Austin, P. C. (2009) · Statistics in Medicine · doi:10.1002/sim.3697 · Cited by 6,758

Epidemiology, patterns of care, and mortality for patients with acute respiratory distress syndrome in intensive care units in 50 countries.

Bellani, G., Laffey, J. G., Pham, T., Fan, E., Brochard, L., Esteban, A., Gattinoni, L., van Haren, F., Larsson, A., McAuley, D. F., et al. (2016) · JAMA · doi:10.1001/jama.2016.0291 · Cited by 5,766

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

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Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures

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Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

Austin, P. C., & Stuart, E. A. (2015) · Statistics in Medicine · doi:10.1002/sim.6607 · Cited by 4,495

Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models

Jaeger, T. F. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2007.11.007 · Cited by 3,317

Multiple imputation of discrete and continuous data by fully conditional specification

van Buuren, S. (2007) · Statistical Methods in Medical Research · doi:10.1177/0962280206074463 · Cited by 2,827

Long-term cognitive impairment after critical illness

Pandharipande, P. P., Girard, T. D., Jackson, J. C., Morandi, A., Thompson, J. L., Pun, B. T., Brummel, N. E., Hughes, C. G., Vasilevskis, E. E., Shintani, A. K., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1301372 · Cited by 2,842

The art of modelling range-shifting species: The art of modelling range-shifting species

Elith, J., Kearney, M., & Phillips, S. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2010.00036.x · Cited by 2,813

An inflammatory cytokine signature predicts COVID-19 severity and survival

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Variable Selection for Propensity Score Models

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Generalized linear and generalized additive models in studies of species distributions: setting the scene

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Low-Level Environmental Lead Exposure and Children’s Intellectual Function: An International Pooled Analysis

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Logistic regression and Artificial Neural Network Classification models: A methodology review

Dreiseitl, S., & Ohno-Machado, L. (2002) · Journal of Biomedical Informatics · doi:10.1016/s1532-0464(03)00034-0 · Cited by 2,177

Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist

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Towards better clinical prediction models: seven steps for development and an ABCD for validation

Steyerberg, E. W., & Vergouwe, Y. (2014) · European Heart Journal · doi:10.1093/eurheartj/ehu207 · Cited by 1,928

What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models

Babyak, M. A. (2004) · Psychosomatic Medicine · doi:10.1097/01.psy.0000127692.23278.a9 · Cited by 2,061

Meta-analysis: glycosylated hemoglobin and cardiovascular disease in diabetes mellitus

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Mutations and Treatment Outcome in Cytogenetically Normal Acute Myeloid Leukemia

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Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research

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Identification of late-onset hypogonadism in middle-aged and elderly men

Wu, F. C. W., Tajar, A., Beynon, J. M., Pye, S. R., Silman, A. J., Finn, J. D., O'Neill, T. W., Bartfai, G., Casanueva, F. F., Forti, G., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0911101 · Cited by 1,544

Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis

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The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study

Lear, S. A., Hu, W., Rangarajan, S., Gasevic, D., Leong, D., Iqbal, R., Casanova, A., Swaminathan, S., Anjana, R. M., Kumar, R., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31634-3 · Cited by 1,331

Prediction models need appropriate internal, internal-external, and external validation

Steyerberg, E. W., & Harrell, F. E. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2015.04.005 · Cited by 1,304

A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM risk-SCD)

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Prognosis and prognostic research: Developing a prognostic model

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Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results

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Predicting aberrant behaviors in opioid-treated patients: preliminary validation of the Opioid Risk Tool

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Variable selection strategies and its importance in clinical prediction modelling.

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The relationship between nutritional intake and clinical outcomes in critically ill patients: results of an international multicenter observational study

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11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment

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Added sugar intake and cardiovascular diseases mortality among US adults

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Development and Validation of a Prediction Rule for Benefit and Harm of Dual Antiplatelet Therapy Beyond 1 Year After Percutaneous Coronary Intervention

Yeh, R. W., Secemsky, E. A., Kereiakes, D. J., Normand, S.-L. T., Gershlick, A. H., Cohen, D. J., Spertus, J. A., Steg, P. G., Cutlip, D. E., Rinaldi, M. J., et al. (2016) · JAMA · doi:10.1001/jama.2016.3775 · Cited by 934

A calibration hierarchy for risk models was defined: from utopia to empirical data

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Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker

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Clinical Risk Score for Persistent Postconcussion Symptoms Among Children With Acute Concussion in the ED

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Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980–2010

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Sparse data bias: a problem hiding in plain sight

Greenland, S., Mansournia, M. A., & Altman, D. G. (2016) · BMJ · doi:10.1136/bmj.i1981 · Cited by 898

Urinary Sodium and Potassium Excretion, Mortality, and Cardiovascular Events

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American Academy of Clinical Neuropsychology Consensus Conference Statement on the Neuropsychological Assessment of Effort, Response Bias, and Malingering

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Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool

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C-Reactive Protein and Parental History Improve Global Cardiovascular Risk Prediction: The Reynolds Risk Score for Men

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Predictive data mining in clinical medicine: Current issues and guidelines

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Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints

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The effects of the national HPV vaccination programme in England, UK, on cervical cancer and grade 3 cervical intraepithelial neoplasia incidence: a register-based observational study

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Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis

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Multivariate meta-analysis for non-linear and other multi-parameter associations

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Sample size considerations for the external validation of a multivariable prognostic model: A resampling study

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Effect of Pioglitazone Compared With Glimepiride on Carotid Intima-Media Thickness in Type 2 Diabetes: A Randomized Trial

Mazzone, T., Meyer, P. M., Feinstein, S. B., Davidson, M. H., Kondos, G. T., D’Agostino, R. B., Perez, A., Provost, J.-C., & Haffner, S. M. (2006) · JAMA · doi:10.1001/jama.296.21.joc60158 · Cited by 674

Depression as a risk factor for mortality after coronary artery bypass surgery

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Clinical Identifiers of Complicated Staphylococcus aureus Bacteremia

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The uncertain nature of absences and their importance in species distribution modelling

Lobo, J. M., Jiménez‐Valverde, A., & Hortal, J. (2010) · Ecography · doi:10.1111/j.1600-0587.2009.06039.x · Cited by 656

Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems

Buss, C., Davis, E. P., Shahbaba, B., Pruessner, J. C., Head, K., & Sandman, C. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201295109 · Cited by 652

White rice consumption and risk of type 2 diabetes: meta-analysis and systematic review

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Association of sleep duration in middle and old age with incidence of dementia

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Bootstrap Methods for Developing Predictive Models

Austin, P. C., & Tu, J. V. (2004) · The American Statistician · doi:10.1198/0003130043277 · Cited by 622

High prevalence of endometriosis in infertile women with normal ovulation and normospermic partners

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A review of spline function procedures in R

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Reporting and Methods in Clinical Prediction Research: A Systematic Review

Bouwmeester, W., Zuithoff, N. P. A., Mallett, S., Geerlings, M. I., Vergouwe, Y., Steyerberg, E. W., Altman, D. G., & Moons, K. G. M. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001221 · Cited by 600

Meta-evaluation of meta-analysis: ten appraisal questions for biologists

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Incidence and predictors of short- and long-term complications in pacemaker therapy: The FOLLOWPACE study

Udo, E. O., Zuithoff, N. P. A., van Hemel, N. M., de Cock, C. C., Hendriks, T., Doevendans, P. A., & Moons, K. G. M. (2012) · Heart Rhythm · doi:10.1016/j.hrthm.2011.12.014 · Cited by 597

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

Riley, R. D., Ensor, J., Snell, K. I. E., Debray, T. P. A., Altman, D. G., Moons, K. G. M., & Collins, G. S. (2016) · BMJ · doi:10.1136/bmj.i3140 · Cited by 585

Mutational Spectrum, Copy Number Changes, and Outcome: Results of a Sequencing Study of Patients With Newly Diagnosed Myeloma

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Perioperative patient outcomes in the African Surgical Outcomes Study: a 7-day prospective observational cohort study

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Depression and anxiety as predictors of 2-year cardiac events in patients with stable coronary artery disease

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A new framework to enhance the interpretation of external validation studies of clinical prediction models

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Urinary sodium and potassium excretion and risk of cardiovascular events

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Impact of Delta on viral burden and vaccine effectiveness against new SARS-CoV-2 infections in the UK

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Sacubitril/Valsartan Across the Spectrum of Ejection Fraction in Heart Failure

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Risk models and scores for type 2 diabetes: systematic review

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Validation and updating of predictive logistic regression models: a study on sample size and shrinkage

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End-of-Life Care and the Effects of Bereavement on Family Caregivers of Persons with Dementia

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Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models

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The Architecture of Provider-Parent Vaccine Discussions at Health Supervision Visits

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Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study

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Plasma protein patterns as comprehensive indicators of health

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The impact of therapy-related acute myeloid leukemia (AML) on outcome in 2853 adult patients with newly diagnosed AML

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