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  • Search: person:"Sati Mazumdar"
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Subject
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Biostatistics 14 Theorie 2 Theory 2 Estimation theory 1 Fertility 1 Fertilität 1 Mental disorder 1 Pollution 1 Psychische Krankheit 1 Risiko 1 Risk 1 Schätztheorie 1 Statistical theory 1 Statistics 1 Statistische Methodenlehre 1 Umweltbelastung 1
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Online availability
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Free 15
Type of publication
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Other 15 Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Aufsatz im Buch 2 Book section 2 Dissertation u.a. Prüfungsschriften 1
Language
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English 17 Undetermined 2
Author
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Sati Mazumdar 14 Howard E. Rockette 9 Gong Tang 7 Lisa A. Weissfeld 4 Mazumdar, Sati 4 Stewart Anderson 3 Stewart J. Anderson 2 Vincent C. Arena 2 Abdus S. Wahed 1 Benoit H Mulsant, MD 1 Benoit Mulsant 1 Blakesley, Richard E 1 Charles F Reynolds III 1 Charles F. Reynolds 1 Chuang, Ya-Hsiu 1 Chung-Chou H. Chang 1 Damaraju, C.V. 1 Dang, Qianyu 1 David S. Stoffer 1 Dean, Leighton Scott 1 Derek C. Angus, M.D. 1 Dr Joseph P. Costantino 1 Dr Sati Mazumdar 1 Dr Sheryl Kelsey 1 Dr Stewart Anderson 1 Dr Vincent C Arena Jr 1 Eleanor Feingold 1 Gamalo, Mark Amper 1 He, Shui 1 Hiroko H. Dodge 1 Houck, Patricia R. 1 J. Richard Jennings 1 Joyce H. Chang 1 Kastango, Kari B. 1 Lan Kong 1 Lotz, Meredith JoAnne 1 Mary Amanda Dew 1 Mary Ganguli 1 Mattison, D.R. 1 Michael J. Fine 1
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Published in...
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Bioenvironmental and public health statistics 2 Sankhya / B : the Indian journal of statistics 1
Source
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BASE 15 ECONIS (ZBW) 2 OLC EcoSci 1 USB Cologne (EcoSocSci) 1
Showing 1 - 10 of 19
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A COMPARATIVE ANALYSIS OF INFERENTIAL PROCEDURES FOR AIR POLLUTION HEALTH EFFECT STUDIES
Chuang, Ya-Hsiu - 2009
Generalized additive model (GAM) with natural cubic splines (NS) has been commonly used as a standard analytical tool in time series studies of health effects of air pollution. Standard model selection procedures used in GAM ignore the uncertainty in model fitting. This may lead to biased...
Persistent link: https://www.econbiz.de/10009428824
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Modeling Missing Covariate Data and Temporal Features of Time-Dependent Covariates in Tree-Structured Survival Analysis
Lotz, Meredith JoAnne - 2009
Tree-structured survival analysis (TSSA) is used to recursively detect covariate values that best divide the sample into subsequent subsets with respect to a time to event outcome. The result is a set of empirical classification groups, each of which identifies individuals with more homogeneous...
Persistent link: https://www.econbiz.de/10009428825
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Statistical Inferences For Two-stage Treatment Regimes for Time-to-Event and Longitudinal Data
Miyahara, Sachiko - 2009
Adaptive treatment regime is a set of rules that governs the assignment of time-varying treatment based on observed covariates and intermediate response. Treatment choices are made sequentially as patients make transition from one health state to another. Specifically, in two stage randomization...
Persistent link: https://www.econbiz.de/10009428826
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Parametric Control of Familywise Error Rates with Dependent P-Values
Blakesley, Richard E - 2008
Many research areas require multiple outcomes. For example, neuropsychological hypotheses may not be testable using a single measure. Similarly, genetic researchers frequently examine multiple markers across the genome. Examining multiple hypotheses requires the use of multiple testing...
Persistent link: https://www.econbiz.de/10009428863
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MEDIATIONAL MODELS WITH MULTIPLE OUTCOMES IN CROSS-SECTIONAL AND LONGITUDINAL STUDIES
Sun, Kang - 2008
Mediational analysis is used to explain how a predictor affects the outcome through an intervening variable called a mediator. In a cross-sectional study, the predictor, the mediator, and the outcome are measured at single time points and these time points need to be chronologically in the same...
Persistent link: https://www.econbiz.de/10009428889
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A METHOD FOR DETECTING OPTIMAL SPLITS OVER TIME IN SURVIVAL ANALYSIS USING TREE-STRUCTURED MODELS
Dean, Leighton Scott - 2007
One of the most popular uses for tree-based methods is in survival analysis for censored time data where the goal is to identify factors that are predictive of survival. Tree-based methods, due to their ability to identify subgroups in a hierarchical manner, can sometimes provide a useful...
Persistent link: https://www.econbiz.de/10009428821
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Assessing Agreement Among Raters And Identifying Atypical Raters Using A Log-Linear Modeling Approach
Kastango, Kari B. - 2006
When an outcome is rated by several raters, ensuring consistency across raters increases the reliability of the measurement. Tanner and Young (1985) proposed a general class of log-linear models to assess agreement among K raters and a rating scale with C nominal categories. Their methodology...
Persistent link: https://www.econbiz.de/10009428906
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Latent variable models for longitudinal study with informative missingness
Qin, Li - 2006
Missing problem is very common in today's public health studies because of responses measured longitudinally. In this dissertation we proposed two latent variable models for longitudinal data with informative missingness. In the first approach, a latent variable model is developed for the...
Persistent link: https://www.econbiz.de/10009428907
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Bounded Influence Approaches to Constrained Mixed Vector Autoregressive Models
Gamalo, Mark Amper - 2006
The proliferation of many clinical studies obtaining multiple biophysical signals from several individuals repeatedly in time is increasingly recognized, a recognition generating growth in statistical models that analyze cross-sectional time series data. In general, these statistical models try...
Persistent link: https://www.econbiz.de/10009428929
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A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data
Ren, Dianxu - 2005
Estimated associations between an outcome variable and misclassified covariates tend to be biased when the methods of estimation that ignore the classification error are applied. Available methods to account for misclassification often require the use of a validation sample (i.e, a gold...
Persistent link: https://www.econbiz.de/10009428961
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