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STATA JOURNAL, ISSN 1536-867X, 08/2004, Volume 4, Issue 3, pp. 290 - 311
This paper presents an implementation of matching estimators for average treatment effects in Stata. The nnmatch command allows you to estimate the average... 
average treatment effects | exogeneity | ignorability | nnmatch | unconfoundedness | STATISTICS & PROBABILITY | SOCIAL SCIENCES, MATHEMATICAL METHODS | st0072 | matching
Journal Article
by Ding, P and Li, F
POLITICAL ANALYSIS, ISSN 1047-1987, 10/2019, Volume 27, Issue 4, pp. 605 - 615
Difference-in-differences is a widely used evaluation strategy that draws causal inference from observational panel data. Its causal identification relies on... 
ignorability | MODELS | panel data | SCORES | POLITICAL SCIENCE | parallel trends | causal inference | INFERENCE | nonparametric
Journal Article
Biometrika, ISSN 0006-3444, 12/2015, Volume 102, Issue 4, pp. 995 - 1000
We clarify the key concept of missingness at random in incomplete data analysis. We first distinguish between data being missing at random and the missingness... 
Missing data | Missingness mechanism | Exchangeability | Missingness assumption | MODELS | IGNORABILITY | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | INFERENCE
Journal Article
Journal of Statistical Planning and Inference, ISSN 0378-3758, 09/2016, Volume 176, pp. 33 - 51
Missing values present challenges in the analysis of data across many areas of research. Handling incomplete data incorrectly can lead to bias, over-confident... 
Multiple imputation | Missing data | Ignorability | FREEDOM | STATISTICS & PROBABILITY | SMALL-SAMPLE DEGREES | ignorability | missing data
Journal Article
Journal of Mathematics and Statistics, ISSN 1549-3644, 2014, Volume 10, Issue 3, pp. 293 - 303
Journal Article
International Journal of Approximate Reasoning, ISSN 0888-613X, 02/2018, Volume 93, pp. 238 - 260
Maximum likelihood is a standard approach to computing a probability distribution that best fits a given dataset. However, when datasets are incomplete or... 
Random sets | Entropy | Maximum likelihood | Incomplete information | MODELS | IGNORABILITY | INFERENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Artificial Intelligence | Computer Science
Journal Article
Psychological Methods, ISSN 1082-989X, 12/2014, Volume 19, Issue 4, pp. 488 - 492
Journal Article
Epidemiology, ISSN 1044-3983, 01/2017, Volume 28, Issue 1, pp. 54 - 59
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2015, Volume 110, Issue 511, pp. 1013 - 1023
Marginal structural models (MSMs) are becoming increasingly popular as a tool for causal inference from longitudinal data. Unlike standard regression models,... 
Causal inference | Covariate balancing propensity score | Inverse propensity score weighting | Observational studies | Sequential ignorability | Time-dependent treatments | BIAS | STATISTICS & PROBABILITY
Journal Article
Biometrika, ISSN 0006-3444, 06/2017, Volume 104, Issue 2, pp. 317 - 326
Likelihood factors that can be disregarded for inference are termed ignorable. We demonstrate that close ties exist between ignorability and identification of... 
Missing at random | Ignorability | Longitudinal data | MODELS | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | DROP-OUT | INFERENCE
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 10/2015, Volume 110, Issue 512, pp. 1528 - 1542
This article studies identification, estimation, and inference of general unconditional treatment effects models with continuous treatment under the... 
Ignorability | Dose-response function | Semiparametric estimation and inference | Birthweight | Dose–response function | PROPENSITY SCORE | MODELS | STATISTICS & PROBABILITY | QUANTILE REGRESSION
Journal Article
Statistica Sinica, ISSN 1017-0405, 1/2018, Volume 28, Issue 4, pp. 1741 - 1759
With nonignorable missing data, likelihood-based inference should be based on the joint distribution of the study variables and their missingness indicators.... 
Non-parametric saturation | Identification | Sensitivity analysis | Missing not at random | Partial ignorability | MODELS | sensitivity analysis | REFRESHMENT SAMPLES | missing not at random | STATISTICS & PROBABILITY | ATTRITION | partial ignorability | non-parametric saturation
Journal Article
Statistical Science, ISSN 0883-4237, 5/2013, Volume 28, Issue 2, pp. 257 - 268
Journal Article
Communications in Statistics: Simulation and Computation, ISSN 0361-0918, 2018, pp. 1 - 14
Journal Article
Statistics in Medicine, ISSN 0277-6715, 03/2019, Volume 38, Issue 7, pp. 1190 - 1199
Imputation and inference (or analysis) models that cannot be true simultaneously are frequently used in practice when missing outcomes are present. In these... 
multiple imputation | missingness | ignorability | uncongenial | compatible models | MEDICINE, RESEARCH & EXPERIMENTAL | MEDICAL INFORMATICS | STATISTICS & PROBABILITY | IMPROVING EFFICIENCY | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | MODELS | CLINICAL-TRIALS | MATHEMATICAL & COMPUTATIONAL BIOLOGY
Journal Article
Newborn and Infant Nursing Reviews, ISSN 1527-3369, 2010, Volume 10, Issue 1, pp. 19 - 26
This article discusses the role that propensity score analysis can play in assessing the effects of interventions. It mostly focuses on identifying the range... 
Matching | Nonrandomized experiment | Propensity score | Strong ignorability | Randomized experiment
Journal Article
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