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01 décembre 2018 Victorri-Vigneau C, Verstuyft C, Laforgue E, Bouquié R, Hardouin JB, Leboucher J, Challet G, Grall-Bronnec M (2018) Impact du polymorphisme du CYP2B6 sur la pharmacocinétique et la réponse clinique de sujets recevant de la méthadone. Thérapie, 73(6): 563.

01 décembre 2018 Caillet P, Poirier M, Grall-Bronnec M, Marchal E, Pintas C, Wylomanski S, Winer N, Jolliet P, Victorri-Vigneau C (2018) Consommation de kaolin parmi les femmes migrantes en France métropolitaine : PICA ou dépendance ?. Thérapie, 73(6): 578.

23 novembre 2018 Kern L, Godart N, Tailhardat L, Peguet A, Grall-Bronnec M, Fautrelle L (2018) A latent profile analysis revealed different categories of patients in anorexia nervosa: proposal of guidelines in adapted physical activity . Movement & Sport Sciences - Science & Motricit: under press.

15 novembre 2018 Montourcy M, Hardouin JB, Caillon J, Leboucher J, Rousselet M, Grall-Bronnec M, Challet G (2018) Typology of patients with behavioral addictions or eating disorders during a one-year period of care: exploring similarities of trajectory using growth mixture modeling coupled with latent class analysis . PlosONE, 13(11): e0207398.

15 novembre 2018 Petitpain N, Argoullon L, Masmoudi K, Fedrizzi S, Cottin J, Latarche C, Mertes P, Gillet P, French Network of Regional Pharmacovigilance Centres (2018) Neuromuscular blocking agents induced anaphylaxis: Results and trends of a French pharmacovigilance survey from 2000 to 2012. Allergy, 73(11): 2224-33.

Updated

06 décembre 2018

Overall performance of Oort's procedure for response shift detection at item-level: a pilot simulation study

Auteurs

Vanier Antoine - Post-Doctoral Researcher in Biostatistics - University of Nantes
Sébille Véronique - PU-PH Biostatistique - Directrice de l'unité SPHERE - Université de Nantes - UFR de Pharmacie
Blanchin Myriam - Ingénieur de recherche en Biostatistique - Université de Nantes - UFR de Pharmacie
Guilleux Alice - Ingénieure biostatisticienne et doctorante - Université de Nantes - Ecole doctorale Biologie-Santé - ED502
Hardouin Jean-Benoit - Maitre de Conférences - HDR - Biostatistique - UFR de Pharmacie

Description

Nature : Articles dans une revue internationale
Thématique : Biostatistique et Mesures Subjectives en Santé
Rang : Rang A : publication porté par un membre de l'unité, dans le cadre de l'unité
Axe de recherche principal: Méthodologie pour les Mesures Subjectives en Santé
Sujet : Response Shift : détection; interprétation

Vanier A, Sébille V, Blanchin M, Guilleux A, Hardouin JB (2015) Overall performance of Oort's procedure for response shift detection at item-level: a pilot simulation study. Quality of life research, 24(8): 1799-807.

Lien

Abstract

Objective. This simulation study was designed to provide data on the performance of Oort’s procedure (OP) for response shift (RS) detection (regarding Type-I-Error, power and overall performance), according to sample characteristics. A specific objective was to assess the impact of using different information criteria (IC: AIC, BIC or SABIC), as alternatives to LRT, for global assessment of RS occurrence.

Methods. Responses to 5 binary items at two times of measurement were simulated. Forty-eight combinations of sample characteristics (sample size (n), “true change”, correlations between the two latent variables and presence/absence of uniform recalibration RS (rs)) were considered. A thousand datasets were generated for each combination. RS detection was performed on each dataset following OP. Type-I-Error and power of the global assessment of RS occurrence, as well as overall performance of the OP was assessed.

Results. The estimated Type-I-Error was close to 5% for the LRT and lower than 5% for the IC. The estimated power was higher for the LRT than these estimated for the AIC, which was the highest among the other IC. For the LRT, the estimated power for n = 100 and for the combination of n = 200 and rs = 1 item was below 80%. Otherwise, for other combinations of sample characteristics, the estimated power was above 90%.

Conclusion. For the LRT, higher values of power were estimated compared to IC with appropriate values of Type-I-Error. These results were consistent with Oort’s proposal to use the LRT as the criterion to assess global RS occurrence.

Projet(s) ayant donné lieu à cette publication

PROGRES : Évaluation de la santé perçue des patients atteints de cancer – Méthodes pour l’identification et la prise en compte de l’adaptation des patients à leur état de santé (response shift) dans les études longitudinales en présence de données manquantes

MIDIPRES : Détermination de la différence minimale cliniquement pertinente d’instruments de mesure subjective en présence de Response-Shift

Thèse(s) ou stage(s) lié(s) à cette publication

Antoine Vanier : The concept, measurement, and integration of response shift phenomenon in Patient-Reported Outcomes data analyses - On certain methodological and statistical considerations (soutenue le 18 octobre 2016)

Alice Guilleux : Évaluation de la santé perçue des patients atteints de cancer – Méthodes pour l’identification et la prise en compte de l’adaptation des patients à leur état de santé (response shift) dans les études longitudinales en présence de données manquantes (soutenue le 31 décembre 2016)

Antoine Vanier : Comparaison des modèles d'équations structurelles (SEM) avec la Theorie de Réponse aux Items (IRT) pour détecter et tenir compte du Response-shift (phase 2) (2013)

Antoine Vanier : Comparaison des modèles d'équations structurelles (SEM) avec la Theorie de Réponse aux Items (IRT) pour détecter et tenir compte du Response-shift (2012)

Publications sur le même sujet (Response Shift : détection; interprétation)

Publications ayant le même axe principal de recherche (Méthodologie pour les Mesures Subjectives en Santé)

Ju A, Josephson M, Burucoa C, Joyeux-Faure M, Tandé D, Tawa A, Fournier G, Do-Pham G, Casey R, Jézéquel P, Lochon B, Knoll G, Ahn C, Hanson C, Sautenet B, Manera K, Craig J, Howell M, Rusch E, Tong A, SONG-Tx Lige Participation Workshop Investigators (2018)
Ju A, Josephson M, Butt Z, Jowsey-Gregoire S, Tan J, Taylor Q, Fowler K, Dobbels F, Caskey F, Jha V, Locke J, Knoll G, Ahn C, Hanson C, Sautenet B, Manera K, Craig J, Howell M, Rutherford C, Tong A, SONG-Tx Lige Participation Workshop Investigators (2018) Establishing a Core Outcome Measure for Life Participation: a Standardized Outcomes in Nephrology - Kidney Transplantation (SONG-Tx) Consensus Workshop Report. Transplantation: doi: 10.1097/TP.0000000000002476. [Epub ahead of print].
Dibao-Dina C, Angoulvant D, Lebeau JP, Peurois J, Abdallah El Hirtsi K, Lehr-Drylewicz AM (2018) Patients' adherence to optimal therapeutic, lifestyle and risk factors recommendations after myocardial infarction: Six years follow-up in primary care. PloS One, 13(9): e0202986. doi: 10.1371/journal.pone.0202986. eCollection 2018.
O'Lone E, Viecelli A, Craig J, Tong A, Sautenet B, Roy D, Herrington W, Herzog C, Jafar T, Jardine M, Krane V, Levin A, Malyszko J, Rocco M, Strippoli G, Tonelli M, Wang A, Wanner C, Zannad F, Winkelmayer W, Webster AC, Wheeler DC (2018) Cardiovascular Outcomes Reported in Hemodialysis Trials. J Am Coll Cardiol, 71(24): 2802-10.
Sautenet B, Tong A, Chapman J, Warrens A, Rosenbloom D, Wong G, Gill J, Budde K, Marson L, Josephson M, Reese P, Evangelidis N, Craig J (2018) Range and consistency of outcomes reported in randomized trials conducted in kidney transplant recipients: a systematic review. Transplantation: doi: 10.1097/TP.0000000000002278. [Epub ahead of print].
(Soumis) Blanchin M, Guilleux A, Hardouin JB, Sébille V (2017) Searching for an optimal SEM-based method to assess response shift at item level: a simulation study.
Hamel JF, Sébille V, Le Neel T, Kubis G, Boyer F, Hardouin JB (2017) What are the appropriate methods for analyzing patients reported outcomes in randomized trials when data are missing?. Statistical Methods in Medical Research, 26(6): 2897-2908.
Salmon M, Blanchin M, Rotonda C, Guillemin F, Sébille V (2017) Identifying patterns of adaptation in breast cancer patients with cancer-related fatigue using response shift analyses at subgroup level. Cancer Medicine, 6(11): 2562-2575.
Denis F, Bizien P, Tubert-Jeanin S, Hamad M, Trojak B, Rude N, Hardouin JB (2017) A Rasch analysis between schizophrenic patients and the general population. Behavioral neuroscience, 8: 139-146.
Vanier A, Falissard B, Sébille V, Hardouin JB (2017) The complexity of interpreting changes observed over time in Health-Related Quality of Life: a short overview of 15 years of research on response shift theory. In Guillemin F, Leplège A, Briançon S, Spitz E, Coste J. Perceived health and adaptation in chronic disease. Stakes and future challenge (Taylor and Francis): 202-230.
Lamirault G, de Bock E, Sébille V, Delasalle B, Roncalli J, Susen S, Piot C, Trochu JN, Teiger E, Neuder Y, Le Tourneau T, Manrique A, Hardouin JB, Lemarchand P (2017) Sustained quality of life improvement after intracoronary injection of autologous bone marrow cells in the setting of acute myocardial infarction: results from the BONAMI trial. Quality of Life Research, 26(1): 121-125.
Tessier P, Blanchin M, Sébille V (2017) Does the relationship between health-related quality of life and subjective well-being change over time? An exploratory study among breast cancer patients. Social Science & Medicine, 174: 96-103.
de Bock E, Hardouin JB, Blanchin M, Le Neel T, Kubis G, Dantan E, Bonnaud-Antignac A, Sébille V (2016) Rasch-family models are more valuable than score-based approaches for analysing longitudinal PRO with intermittent missing data. Statistical Methods in Medical Research , 25(5): 2067–2087.
Vanier A (2016) Thèse de science biostatistique - Université de Nantes. The concept, measurement and integration of response shift phenomenon in Patient-Reported Outcomes data analyses. On certain methodological and statistical considerations. , 174 pages.
(Soumis) Blanchin M, Hardouin JB, Le Neel T, Kubis G, Sébille V (2016) CTT and Rasch-based approaches for joint analysis of group and time effects of longitudinal Patient Reported Outcomes: impact of dropout mechanisms..
Rouquette A, Côté SM, Hardouin JB, Falissard B (2016) Rasch modelling to deal with changes in the questionnaires used during long-term follow-up of cohort studies: a simulation study.. BMC Med Res Methodol, 16(1): 105.
Hamel JF, Sébille V, Challet G, Hardouin JB (2016) Partial Credit Model: estimations and tests of fit with pcmodel. Stata Journal, 16(2): 464-481.
Blanchin M, Sébille V, Guilleux A, Hardouin JB (2016) The Guttman errors as a tool for response shift detection at subgroup and item levels. Quality of Life Research, 25(6): 1385-1393.
Guillou-Landreat M, Guilleux A, Sauvaget A, Brisson L, Leboucher J, Remaud M, Challet G, Grall-Bronnec M (2016) Factors associated with suicidal risk among a French cohort of problem gamblers seeking treatment. Psychiatry Research, 240: 11-18.
Sébille V, Hardouin JB, Giral M, Bonnaud-Antignac A, Tessier P, Papuchon E, Jobert A, Faurel-Paul E, Gentile S, Cassuto R, Morelon E, Rostaing L, Glotz D, Sberro-Soussan R, Foucher Y, Meurette A (2016) Prospective, multicenter, controlled study of quality of life, psychological adjustment process and medical outcomes of patients receiving a preemptive kidney transplant compared to a similar population of recipients after dialysis. BMC Nephrol, 17(1): 11.
Sauvaget A, Trojak B, Bulteau S, Jiménez-Murcia S, Fernández-Aranda F, Wolz I, Menchón JM, Achab S, Vanelle J, Grall-Bronnec M (2015) Transcranial direct current stimulation (tDCS) in behavioral and food addiction: a systematic review of efficacy, technical, and methodological issues. Front Neurosci, 9: 349.
Feddag ML, Sébille V, Blanchin M, Hardouin JB (2015) Estimation of parameters of the Rasch model and comparison of groups in presence of locally dependent items. Journal of Applied Measurement, 16(3): 268-77.
Hardouin JB, Blanchin M, Feddag ML, Le Neel T, Perrot B, Sébille V (2015) Power and sample size determination for group comparison on Patient Reported Outcomes using polytomous Rasch models. Statistics in Medicine, 34(16): 2444-55.
Vanier A, Leplège A, Hardouin JB, Sébille V, Falissard B (2015) Semantic primes theory may be helpful in designing questionnaires such as to prevent response shift. Journal of Clinical Epidemiology, 68(6): 646-654.
Feuillet F, Bellanger L, Hardouin JB, Victorri-Vigneau C, Sébille V (2015) On comparison of clustering methods for pharmacoepidemiological data. Journal of Biopharmaceutical Statistics, 25(4): 843-856.
Blanchin M, Guilleux A, Perrot B, Bonnaud-Antignac A, Hardouin JB, Sébille V (2015) Power and sample size determination for the group comparison of patient-reported outcomes using the Rasch model: impact of a misspecification of the parameters. BMC Medical Research Methodology, 15: 21.
Guilleux A, Blanchin M, Vanier A, Guillemin F, Falissard B, Schwartz C, Hardouin JB, Sébille V (2015) RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies. Quality of life research, 24(3): 553-564.
de Bock E, Hardouin JB, Blanchin M, Le Neel T, Kubis G, Sébille V (2015) Assessment of score and Rasch-based methods for group comparison of longitudinal Patient-Reported Outcomes with intermittent missing data (informative and non-informative). Quality of Life Research, 24(1): 19-29.
Anthoine E, Moret L, Regnault A, Sébille V, Hardouin JB (2014) Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures. Health and Quality of Life Outcomes, 12: 176.
Feddag ML, Blanchin M, Hardouin JB, Sébille V (2014) Power analysis on the time effect for the longitudinal Rasch model. Journal of Applied Measurement, 15(3): 292-301.
Sébille V, Blanchin M, Guillemin F, Falissard B, Hardouin JB (2014) A simple ratio-based approach for power and sample size determination for Rasch analysis. BMC Medical Research Methodology, 14(1): 87.
Rouquette A, Blanchin M, Sébille V, Guillemin F, Côté SM, Falissard B, Hardouin JB (2014) Determination of the Minimal Clinically Important Difference using Item Response Theory Models: an attempt to solve the issue of the association with baseline score. Journal of Clinical Epidemiology, 64(4): 433-440.
Boyer L, Baumstarck K, Michel P, Boucekine M, Anota A, Bonnetain F, Coste J, Falissard B, Guilleux A, Hardouin JB, Loundou A, Mercier M, Mesbah M, Rouquette A, Sébille V, Verdam M, Ghattas B, Guillemin F, Auquier P (2014) Statistical challenges in quality of life and cancer: New avenues for future researches. Expert Review of Pharmacoeconomics & Outcomes Research, 14(1): 19-22.
Guilleux A, Blanchin M, Hardouin JB, Sébille V (2014) Power and sample size determination in the Rasch model: Evaluation of the robustness of a numerical method to non-normality of the latent trait. Plos One, 9(1): e0083652.
Schwartz C, Sajobi T, Verdam M, Sébille V, Lix L, Guilleux A, Sprangers M (2014) Method variation in the impact of missing data on response shift detection. Quality of Life Research : .
Blanchin M, Hardouin JB, Guillemin F, Falissard B, Sébille V (2013) Power and sample size determination for the group comparison of patient-reported outcomes with Rasch family models. PLoS ONE, 8(2): e57279.
Hamel JF, Hardouin JB, Le Neel T, Kubis G, Roquelaure Y, Sébille V (2012) Study of different methods for comparing groups by analysis of subjective health measurements. PLoS One, 7(10): e44695.
Hardouin JB (2012) Validation, Planification et Analyse d’échelles de mesure de concepts latents dans le domaine de la santé. Habilitation à Diriger les Recherches, Ecole doctorale Biologie Santé, 117 pages.
Hardouin JB, Amri S, Feddag ML, Sébille V (2012) Towards Power And Sample Size Calculations For Item Response Theory Analysis For The Comparison Of Two Groups Of Patients. Statistics in Medicine, 31(11): 1277-1290.
Feddag ML, Hardouin JB, Sébille V (2012) Pairwise- and marginal-likelihood estimation for the mixed Rasch model with binary data . Journal of Statistical Computation and Simulation , 82(3): 419-430.
Hardouin JB, Conroy R, Sébille V (2011) Imputation by the mean score should be avoided when validating a Patient Reported Outcomes questionnaire by a Rasch model in presence of informative missing data. BMC Medical Research Methodology, 11(105): 1-13.
Blanchin M (2011) Comparaison des approches CTT et IRT pour l'analyse des effets temps et groupe de données longitudinales de type Patient-Reported Outcomes et impact du dropout. Thèse de doctorat de l'Université de Nantes - Ecole doctorale Biologie Santé, 219 pages.
Blanchin M, Hardouin JB, Le Neel T, Kubis G, Blanchard C, Mirallié E, Sébille V (2011) Comparison of CTT and IRT based-approach for the analysis of longitudinal Patient Reported Outcome . Statistics in Medicine, 30(8): 825-838.
Hardouin JB, Bonnaud-Antignac A, Sébille V (2011) Non parametric Item Response Theory using Stata. The Stata Journal, 11(1): 30-51.
Blanchin M, Hardouin JB, Le Neel T, Kubis G, Sébille V (2011) Analysis of longitudinal Patient-Reported Outcomes with informative and non-informative dropout: Comparison of CTT and Rasch-based methods. International Journal of Applied Mathematics & Statistics (IJAMAS), 24: SI-11A.
Sébille V, Hardouin JB, Le Neel T, Kubis G, Boyer F, Guillemin F, Falissard B (2010) Methodological issues regarding power of Classical Test Theory (CTT) and Item Response Theory (IRT)-based approaches for the comparison of Patient-Reported Outcomes in two groups of patients - A simulation study. BMC Medical Research Methodology, 10: 24.
Sébille V, Hardouin JB (2008) Sequential Analysis of Quality of Life Measurements using Mixed Rasch Models. In Statistical models and methods for biomedical and technical systems (Vonta F, Nikulin M, Limnios N, Huber C (eds.)): Birkhäuser: Boston. Chapter 24: 333-338.
Hardouin JB, Mesbah M (2008) Selection of items fitting a Rasch model. In Mathematical methods for survival analysis, reliability and Quality of life (Eds Huber C., Limnios N., Mesbah M., Nikulin M.): Hermes: Paris. Chapter 17: 255-274..
Sébille V, Hardouin JB, Mesbah M (2007) Sequential analysis of latent variables using mixed-effect latent variable models: impact of non-informative and informative missing data. Statistics in Medicine, 26(27): 4889-4904.
Hardouin JB, Mesbah M (2007) The SAS macro-program %AnaQol to estimate the parameters of IRT models. Communications in Statistics – Simulation and Computation, 36(2): 437-453.
Hardouin JB (2007) Rasch analysis: estimation and tests with the Raschtest module. The Stata Journal, 7(1): 22-44.
Golden J, Conroy RM, Golden D, O'Dwyer AM, Hardouin JB (2006) Illness-related stigma, mood and adjustment to illness in persons with Hepatitis C. Social Science and Medicine, 63(12): 3188-98.
Sébille V, Mesbah M (2006) Sequential Analysis of Quality of Life Rasch Measurements. In Probability, Statistics and Modelling in Public Health (Springer Statistics ; Nikulin M, Commenges D, Huber C. (eds.) ): 0.
Sébille V, Challa T, Mesbah M (2006) Sequential Analysis of Quality of Life Measurements with the Mixed Partial Credit Model. In Advances in Statistical Methods for the Health Sciences (Springer ; Balakrishnan N, Auget J-L, Mesbah M, Molenberghs G. (eds.) ): 0.
Hardouin JB (2005) Construction d'échelles d'items unidimensionnelles en qualité de vie. Thèse de doctorat de l'Université René Descartes - Paris 5, 201.
Hardouin JB, Mesbah M (2004) Clustering Binary Variables in Subscales using an Extended Rasch model and Akaike Information Criterion. Communication in Statistics – Theory and Methods, 33(6): 1277-1294.
Sébille V, Auget JL (2004) Evaluating Health-Related Quality of Life: a case-study of differential item functioning analysis in small trials. Communications in Statistics-Theory and Methods, 33(6): 1403-1428.

Publications liées à l'axe principal de recherche (Méthodologie pour les Mesures Subjectives en Santé)