Random effects probit and logistic regression models for three-level data.
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Design and analysis of group-randomized trials: a review of recent methodological developmentsMulti-level analyses of spatial and temporal determinants for dengue infection.Exact logistic models for nested binary dataBayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP PackageExperience Corps: a dual trial to promote the health of older adults and children's academic success.Bayesian hierarchical models for multi-level repeated ordinal data using WinBUGS.A mixed-effects regression model for longitudinal multivariate ordinal data.Detecting the Hidden Properties of Immunological Data and Predicting the Mortality Risks of Infectious Syndromes.A class of markov models for longitudinal ordinal dataMarginalized models for longitudinal ordinal data with application to quality of life studies.A Bayesian hierarchical model for multi-level repeated ordinal data: analysis of oral practice examinations in a large anaesthesiology training programme.Advances in analysis of longitudinal dataWhat explains the rural-urban gap in infant mortality: household or community characteristics?A three-level mixed-effects location scale model with an application to ecological momentary assessment dataCivil law problems and morbidity.Women's alcohol consumption and risk for alcohol-exposed pregnancies in Russia.Considering context, place and culture: the National Latino and Asian American Study.Interventions to increase influenza vaccination rates in veterans with spinal cord injuries and disorders.Partnerships for the design, conduct, and analysis of effectiveness, and implementation research: experiences of the prevention science and methodology group.Multilevel analysis of group-randomized trials with binary outcomes.Computational Techniques for Spatial Logistic Regression with Large DatasetsMethods for testing theory and evaluating impact in randomized field trials: intent-to-treat analyses for integrating the perspectives of person, place, and time.Evidence of nationalistic bias in muaythai.Economic vulnerability to health shocks and coping strategies: evidence from Andhra Pradesh, India.Using a Multivariate Multilevel Polytomous Item Response Theory Model to Study Parallel Processes of Change: The Dynamic Association Between Adolescents' Social Isolation and Engagement With Delinquent Peers in the National Youth Survey.Mixed effects logistic regression models for multiple longitudinal binary functional limitation responses with informative drop-out and confounding by baseline outcomes.Hospital variation in patient-reported outcomes at the level of EQ-5D dimensions: evidence from England.MCMC estimation for the p(2) network regression model with crossed random effects.Patterns of Change in Interpersonal Problems During and After Short-term and Long-term Psychodynamic Group Therapy: A Randomized Clinical Trial.Personality disorder moderates outcome in short- and long-term group analytic psychotherapy: A randomized clinical trial.TREAD: TReatment with Exercise Augmentation for Depression: study rationale and design.Responder cell frequency estimation and binomial three-level nonlinear mixed effects model in limiting dilution assays.A bias correction in testing treatment efficacy under informative dropout in clinical trials.Reducing disability via a family centered intervention for acutely ill persons with Alzheimer's disease and related dementias: protocol of a cluster-randomized controlled trial (Fam-FFC study)
P2860
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P2860
Random effects probit and logistic regression models for three-level data.
description
1997 nî lūn-bûn
@nan
1997 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
1997 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
1997年の論文
@ja
1997年論文
@yue
1997年論文
@zh-hant
1997年論文
@zh-hk
1997年論文
@zh-mo
1997年論文
@zh-tw
1997年论文
@wuu
name
Random effects probit and logistic regression models for three-level data.
@ast
Random effects probit and logistic regression models for three-level data.
@en
type
label
Random effects probit and logistic regression models for three-level data.
@ast
Random effects probit and logistic regression models for three-level data.
@en
prefLabel
Random effects probit and logistic regression models for three-level data.
@ast
Random effects probit and logistic regression models for three-level data.
@en
P356
P1433
P1476
Random effects probit and logistic regression models for three-level data.
@en
P2093
P304
P356
10.2307/2533520
P407
P577
1997-12-01T00:00:00Z