Binomial regression with a misclassified covariate and outcome
暂无分享,去创建一个
Sheng Luo | Wenyaw Chan | Michelle A Detry | Paul J Massman | Rachelle S Doody | W. Chan | R. Doody | S. Luo | P. Massman | M. Detry
[1] X M Tu,et al. Bayesian analysis of prevalence with covariates using simulation-based techniques: applications to HIV screening. , 1999, Statistics in medicine.
[2] S. Hui,et al. Evaluation of diagnostic tests without gold standards , 1998, Statistical methods in medical research.
[3] S Greenland,et al. The effect of misclassification in matched-pair case-control studies. , 1982, American journal of epidemiology.
[4] C. Holmes,et al. Infl ammation in Alzheimer ’ s disease : relevance to pathogenesis and therapy , 2022 .
[5] Andrew W. Roddam,et al. Measurement Error in Nonlinear Models: a Modern Perspective , 2008 .
[6] A. Raftery,et al. Estimating Bayes Factors via Posterior Simulation with the Laplace—Metropolis Estimator , 1997 .
[7] C. P. Hughes,et al. A New Clinical Scale for the Staging of Dementia , 1982, British Journal of Psychiatry.
[8] S. Folstein,et al. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.
[9] Pat McInturff,et al. Modelling risk when binary outcomes are subject to error , 2004, Statistics in medicine.
[10] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[11] S Greenland,et al. Variance estimation for epidemiologic effect estimates under misclassification. , 1988, Statistics in medicine.
[12] P. Garthwaite,et al. A Bayesian approach to prospective binary outcome studies with misclassification in a binary risk factor , 2005, Statistics in medicine.
[13] 和泉 志津恵. Inference about misclassification probabilities from repeated binary responses , 2000 .
[14] Joseph L. Gastwirth,et al. Bayesian Inference for Medical Screening Tests: Approximations Useful for the Analysis of Acquired Immune Deficiency Syndrome , 1991 .
[15] M. Tan,et al. Random effects models in latent class analysis for evaluating accuracy of diagnostic tests. , 1996, Biometrics.
[16] W. Chan,et al. Changing Patient Characteristics and Survival Experience in an Alzheimer’s Center Patient Cohort , 2005, Dementia and Geriatric Cognitive Disorders.
[17] J. Morris. The Clinical Dementia Rating (CDR) , 1993, Neurology.
[18] S. Sheps,et al. The assessment of diagnostic tests. A survey of current medical research. , 1984, JAMA.
[19] J. Neuhaus,et al. Binomial Regression with Misclassification , 2003, Biometrics.
[20] Bradley P. Carlin,et al. Bayesian measures of model complexity and fit , 2002 .
[21] Roger Logan,et al. Estimation and Inference for Logistic Regression with Covariate Misclassification and Measurement Error in Main Study/Validation Study Designs , 2000 .
[22] P M Vacek,et al. The effect of conditional dependence on the evaluation of diagnostic tests. , 1985, Biometrics.
[23] Sid E O'Bryant,et al. Staging dementia using Clinical Dementia Rating Scale Sum of Boxes scores: a Texas Alzheimer's research consortium study. , 2008, Archives of neurology.
[24] A S Kosinski,et al. Evaluating the exposure and disease relationship with adjustment for different types of exposure misclassification: a regression approach. , 1999, Statistics in medicine.
[25] L. Magder,et al. Logistic regression when the outcome is measured with uncertainty. , 1997, American journal of epidemiology.
[26] X. Tu,et al. Bayesian inference on prevalence using a missing-data approach with simulation-based techniques: applications to HIV screening. , 1996, Statistics in medicine.
[27] S Richardson,et al. A Bayesian approach to measurement error problems in epidemiology using conditional independence models. , 1993, American journal of epidemiology.
[28] B. Craig,et al. Estimating disease prevalence in the absence of a gold standard , 2002, Statistics in medicine.
[29] Andrew Thomas,et al. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility , 2000, Stat. Comput..
[30] A. Branscum,et al. Accounting for response misclassification and covariate measurement error improves power and reduces bias in epidemiologic studies. , 2010, Annals of epidemiology.
[31] J. Neuhaus. Bias and efficiency loss due to misclassified responses in binary regression , 1999 .
[32] S. Greenland,et al. Correcting for misclassification in two-way tables and matched-pair studies. , 1983, International journal of epidemiology.
[33] D Spiegelman,et al. Matrix Methods for Estimating Odds Ratios with Misclassified Exposure Data: Extensions and Comparisons , 1999, Biometrics.
[34] A. Formann,et al. Measurement errors in caries diagnosis: some further latent class models. , 1994, Biometrics.
[35] R. Stone,et al. A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data , 2007 .
[36] Wenyaw Chan,et al. Predicting progression of Alzheimer's disease , 2010, Alzheimer's Research & Therapy.
[37] Adam J Branscum,et al. Bayesian approach to average power calculations for binary regression models with misclassified outcomes , 2009, Statistics in medicine.
[38] D. Rindskopf,et al. The value of latent class analysis in medical diagnosis. , 1986, Statistics in medicine.
[39] W. Chan,et al. Persistent treatment with cholinesterase inhibitors and/or memantine slows clinical progression of Alzheimer disease , 2009, Alzheimers Res Ther.
[40] K. Davis,et al. A new rating scale for Alzheimer's disease. , 1984, The American journal of psychiatry.
[41] S Wacholder,et al. Validation studies using an alloyed gold standard. , 1993, American journal of epidemiology.
[42] S. Richardson,et al. Conditional independence models for epidemiological studies with covariate measurement error. , 1993, Statistics in medicine.
[43] L. Dodd,et al. On Estimating Diagnostic Accuracy From Studies With Multiple Raters and Partial Gold Standard Evaluation , 2008, Journal of the American Statistical Association.
[44] Bradley P. Carlin,et al. Bayesian Methods for Data Analysis , 2008 .
[45] N. Nagelkerke,et al. Instrumental variables in the evaluation of diagnostic test procedures when the true disease state is unknown. , 1988, Statistics in medicine.
[46] R J Marshall,et al. Validation study methods for estimating exposure proportions and odds ratios with misclassified data. , 1990, Journal of clinical epidemiology.
[47] J. Robins,et al. Estimation of Regression Coefficients When Some Regressors are not Always Observed , 1994 .
[48] B A Barron,et al. The effects of misclassification on the estimation of relative risk. , 1977, Biometrics.
[49] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease , 1984, Neurology.
[50] H Checkoway,et al. Bias due to misclassification in the estimation of relative risk. , 1977, American journal of epidemiology.
[51] Timo Grimmer,et al. Mapping scores onto stages: mini-mental state examination and clinical dementia rating. , 2006, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.
[52] W. Blattner,et al. A method for predicting individual HIV infection status in the absence of clinical information. , 1988, AIDS research and human retroviruses.
[53] M. Sabbagh,et al. Sensitivity to change and prediction of global change for the Alzheimer’s Questionnaire , 2015, Alzheimer's Research & Therapy.