Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable
Author:
Affiliation:
1. Texas A&M University, College Station, TX
2. Pfizer Inc., Cambridge, MA
3. Indian Institute of Management, Udaipur, Rajasthan, India
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/00031305.2017.1407359
Reference33 articles.
1. On the existence of maximum likelihood estimates in logistic regression models
2. JACKKNIFE BIAS REDUCTION FOR POLYCHOTOMOUS LOGISTIC REGRESSION
3. On bias reduction in exponential and non-exponential family regression models
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