Statistical methods for assessing agreement between two methods of clinical measurement

Understanding bland altman analysis

Giavarina, D. (2015) · Biochemia Medica · doi:10.11613/bm.2015.015 · Cited by 4,022 · see citing works

Agreement Between Methods of Measurement with Multiple Observations Per Individual

Bland, J. M., & Altman, D. G. (2007) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543400701329422 · Cited by 1,864 · see citing works

Evaluating patient-based outcome measures for use in clinical trials.

Fitzpatrick, Davey, Buxton, & Jones (1998) · Health Technology Assessment · doi:10.3310/hta2140 · Cited by 1,715 · see citing works

Wearable Sleep Technology in Clinical and Research Settings

DE ZAMBOTTI, M., CELLINI, N., GOLDSTONE, A., COLRAIN, I. M., & BAKER, F. C. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001947 · Cited by 564 · see citing works

Sources of inaccuracy in the measurement of adult patients’ resting blood pressure in clinical settings: a systematic review

Kallioinen, N., Hill, A., Horswill, M. S., Ward, H. E., & Watson, M. O. (2017) · Journal of Hypertension · doi:10.1097/hjh.0000000000001197 · Cited by 357 · see citing works

Automatic 3D liver location and segmentation via convolutional neural network and graph cut

Lu, F., Wu, F., Hu, P., Peng, Z., & Kong, D. (2017) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-016-1467-3 · Cited by 284 · see citing works

Surveillance for ocular hypertension: an evidence synthesis and economic evaluation.

Burr, J., Botello-Pinzon, P., Takwoingi, Y., Hernández, R., Vazquez-Montes, M., Elders, A., Asaoka, R., Banister, K., van der Schoot, J., Fraser, C., et al. (2012) · Health Technology Assessment · doi:10.3310/hta16290 · Cited by 180 · see citing works

Quantitative magnetic resonance imaging of the brain in survivors of very low birth weight

Abernethy, L. J. (2002) · Archives of Disease in Childhood · doi:10.1136/adc.87.4.279 · Cited by 157 · see citing works

Near-infrared spectroscopy-derived muscle oxygen saturation on a 0% to 100% scale: reliability and validity of the Moxy Monitor

Feldmann, A., Schmitz, R. W., & Erlacher, D. (2019) · Journal of Biomedical Optics · doi:10.1117/1.jbo.24.11.115001 · Cited by 159 · see citing works

Accuracy of wearable heart rate monitors in cardiac rehabilitation

Etiwy, M., Akhrass, Z., Gillinov, L., Alashi, A., Wang, R., Blackburn, G., Gillinov, S. M., Phelan, D., Gillinov, A. M., Houghtaling, P. L., et al. (2019) · Cardiovascular Diagnosis and Therapy · doi:10.21037/cdt.2019.04.08 · Cited by 143 · see citing works

Functional Lecithin: Cholesterol Acyltransferase Is Not Required for Efficient Atheroprotection in Humans

Calabresi, L., Baldassarre, D., Castelnuovo, S., Conca, P., Bocchi, L., Candini, C., Frigerio, B., Amato, M., Sirtori, C. R., Alessandrini, P., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.848143 · Cited by 130 · see citing works

Four Types of Pulse Oximeters Accurately Detect Hypoxia during Low Perfusion and Motion

Louie, A., Feiner, J. R., Bickler, P. E., Rhodes, L., Bernstein, M., & Lucero, J. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002002 · Cited by 106 · see citing works

Health status measurement: sensitivity of the self-reported Chronic Respiratory Questionnaire (CRQ-SR) in pulmonary rehabilitation

Williams, J. E. A. (2003) · Thorax · doi:10.1136/thorax.58.6.515 · Cited by 71 · see citing works

How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults?

Celis-Morales, C., Livingstone, K. M., Woolhead, C., Forster, H., O’Donovan, C. B., Macready, A. L., Fallaize, R., Marsaux, C. F. M., Tsirigoti, L., Efstathopoulou, E., et al. (2015) · Genes & Nutrition · doi:10.1007/s12263-015-0476-0 · Cited by 69 · see citing works

Accuracy of Blood Loss Measurement during Cesarean Delivery

Doctorvaladan, S., Jelks, A., Hsieh, E., Thurer, R., Zakowski, M., & Lagrew, D. (2017) · American Journal of Perinatology Reports · doi:10.1055/s-0037-1601382 · Cited by 65 · see citing works

Impact of body-composition methodology on the composition of weight loss and weight gain

Pourhassan, M., Schautz, B., Braun, W., Gluer, C.-C., Bosy-Westphal, A., & Müller, M. J. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.35 · Cited by 43 · see citing works

Minimal clinically important difference of tinnitus outcome measurement instruments—A scoping review.

Langguth, B., & De Ridder, D. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12227117 · Cited by 44 · see citing works

Cross-sectional and longitudinal agreement between two multifrequency bioimpedance devices for resistance, reactance, and phase angle values.

Tinsley, G. M., Moore, M. L., Silva, A. M., & Sardinha, L. B. (2020) · European Journal of Clinical Nutrition · doi:10.1038/s41430-019-0496-8 · Cited by 35 · see citing works

Development and validation of BIA prediction equations of upper and lower limb lean soft tissue in athletes

Sardinha, L. B., Correia, I. R., Magalhães, J. P., Júdice, P. B., Silva, A. M., & Hetherington-Rauth, M. (2020) · European Journal of Clinical Nutrition · doi:10.1038/s41430-020-0666-8 · Cited by 38 · see citing works

Concurrent validity and reliability of clinical evaluation of the single leg squat

Poulsen, D. R., & James, C. R. (2011) · Physiotherapy Theory and Practice · doi:10.3109/09593985.2011.552539 · Cited by 35 · see citing works

Do exercise-associated genes explain phenotypic variance in the three components of fitness? A Systematic review & Meta-analysis

Chung, H. C., Keiller, D. R., Roberts, J. D., & Gordon, D. A. (2021) · doi:10.1101/2021.03.22.436402 · Cited by 34 · see citing works

Interrater and intrarater reliability in the diagnosis and staging of endometriosis

Schliep, K. C., Stanford, J. B., Chen, Z., Zhang, B., Dorais, J. K., Boiman Johnstone, E., Hammoud, A. O., Varner, M. W., Louis, G. M. B., & Peterson, C. M. (2012) · Obstetrics & Gynecology · doi:10.1097/aog.0b013e31825bc6cf · Cited by 33 · see citing works

Freqüência cardíaca máxima em idosas brasileiras: uma comparação entre valores medidos e previstos

Silva, V. A. P. D., Bottaro, M., Justino, M. A., Ribeiro, M. M., Lima, R. M., & Oliveira, R. J. D. (2007) · Arquivos Brasileiros de Cardiologia · doi:10.1590/s0066-782x2007000300010 · Cited by 29 · see citing works

Comparison of Body Composition Methods in Obese African‐American Women

Newton, R. L., Alfonso, A., York‐Crowe, E., Walden, H., White, M. A., Ryan, D., & Williamson, D. A. (2006) · Obesity · doi:10.1038/oby.2006.55 · Cited by 27 · see citing works

Absolute intensity thresholds for tri‐axial wrist and waist accelerometer‐measured movement behaviors in adults

Mielke, G. I., de Almeida Mendes, M., Ekelund, U., Rowlands, A. V., Reichert, F. F., & Crochemore‐Silva, I. (2023) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/sms.14416 · Cited by 26 · see citing works

Validation study of Polar V800 accelerometer

Hernández-Vicente, A., Santos-Lozano, A., De Cocker, K., & Garatachea, N. (2016) · Annals of Translational Medicine · doi:10.21037/atm.2016.07.16 · Cited by 23 · see citing works

The impact of atrial fibrillation on accuracy of oscillometric blood pressure measurement: effect of ventricular rate

Xie, F., Xu, J., Xia, L.-L., Luo, X., Jiang, Z., Wu, Y., & Su, H. (2020) · Hypertension Research · doi:10.1038/s41440-019-0386-4 · Cited by 21 · see citing works

A comparison of uniaxial and triaxial accelerometers for the assessment of physical activity in dogs

Cheung, K. W., Starling, M. J., & McGreevy, P. D. (2014) · Journal of Veterinary Behavior · doi:10.1016/j.jveb.2013.11.003 · Cited by 12 · see citing works

Impact of Two Different Reference Measurement Procedures on Apparent System Accuracy of 18 CE-Marked Current-Generation Blood Glucose Monitoring Systems

Freckmann, G., Baumstark, A., Jendrike, N., Mende, J., Schauer, S., Link, M., Pleus, S., & Haug, C. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820948873 · Cited by 12 · see citing works

Development and validation of bioelectrical impedance prediction equations estimating regional lean soft tissue mass in middle-aged adults

Sardinha, L. B., Rosa, G. B., Hetherington-Rauth, M., Correia, I. R., Magalhães, J. P., Silva, A. M., & Lukaski, H. (2023) · European Journal of Clinical Nutrition · doi:10.1038/s41430-022-01224-0 · Cited by 10 · see citing works

Comparing the Accuracy of Multiple Commercial Wearable Devices: A Method

Pardamean, B., Soeparno, H., Mahesworo, B., Budiarto, A., & Baurley, J. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.09.015 · Cited by 11 · see citing works

Body adiposity index to analyze the percentage of fat in young men aged between 7 and 17 years.

Macêdo Cesário, T., Almeida‐Neto, P. F., Matos, D. G., Wells, J., Aidar, F. J., Costa, R. F., & Araújo Tinoco Cabral, B. G. (2021) · American Journal of Human Biology · doi:10.1002/ajhb.23599 · Cited by 9 · see citing works

Comparison of NIRS exercise intensity thresholds with maximal lactate steady state, critical power and rowing performance

Possamai, L. T., Borszcz, F. K., de Aguiar, R. A., Lucas, R. D. D., & Turnes, T. (2024) · Biology of Sport · doi:10.5114/biolsport.2024.129486 · Cited by 9 · see citing works

Proposal of new body composition prediction equations from bioelectrical impedance for Indonesian men.

Hastuti, J., Kagawa, M., Byrne, N. M., & Hills, A. P. (2016) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2016.113 · Cited by 8 · see citing works

Impact of AASM 2012 Recommended Hypopnea Criteria on Surgical Outcomes for Obstructive Sleep Apnea

Jung, S. Y., Rhee, E. H., Al‐Dilaijan, K. F., Kim, S. W., & Min, J. (2020) · The Laryngoscope · doi:10.1002/lary.28019 · Cited by 8 · see citing works

Body fat prediction equations for skinfold and bioelectrical impedance analysis using dual-energy x-ray absorptiometry data as the criterion.

Grove, J., & Hung, Y.-J. (2017) · Journal of Physical Therapy and Sports Medicine · doi:10.35841/physical-therapy.1.1.5-11 · Cited by 6 · see citing works

Motion-Resistant Pulse Oximetry Processing Based on Time-Frequency Analysis

Leeudomwong, T., Deesudchit, T., & Chinrungrueng, C. (2017) · Engineering Journal · doi:10.4186/ej.2017.21.7.181 · Cited by 4 · see citing works

External validation of bioelectrical impedance analysis equations for body composition against dual-energy X-ray absorptiometry in Mexican recreational runners

Vázquez-Bautista, M. A., Robles-Sardin, A. E., Reséndiz-Sandoval, M., Navarro-Ibarra, M. J., Hernández López, J., & Caire-Juvera, G. (2025) · BIOtecnia · doi:10.18633/biotecnia.v27.2512