On the Assumption of Bivariate Normality in Selection Models
Author:
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Epidemiology
Reference22 articles.
1. HIV Testing: Principles and Practice
2. Estimates of HIV-1 prevalence from national population-based surveys as a new gold standard
3. National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models
4. Non-response bias in estimates of HIV prevalence due to the mobility of absentees in national population-based surveys: a study of nine national surveys
5. Evaluation of bias in HIV seroprevalence estimates from national household surveys
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1. E-cigarettes and Smoking: Correlation, Causation, and Selection Bias;Journal of Consumer Policy;2024-08-07
2. Correcting for selection bias in HIV prevalence estimates: an application of sample selection models using data from population‐based HIV surveys in seven sub‐Saharan African countries;Journal of the International AIDS Society;2022-08
3. Estimating the national and regional prevalence of drinking or eating more than usual during childhood diarrhea in Malawi using the bivariate sample selection copula regression;PeerJ;2021-03-01
4. Selection Mechanisms and Their Consequences: Understanding and Addressing Selection Bias;Current Epidemiology Reports;2020-08-09
5. Analytical methods used in estimating the prevalence of HIV/AIDS from demographic and cross-sectional surveys with missing data: a systematic review;BMC Medical Research Methodology;2020-03-14
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