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  1. The international journal of biostatistics
  2. Year: 2010, Volume: 6
  3. Year: 2010, Volume: 6, Issue: 2
  4. Evaluating the Efficacy of a Malaria Vaccine*
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Year: 2014, Volume: 10
Year: 2011, Volume: 7
Year: 2010, Volume: 6
Year: 2010, Volume: 6, Issue: 2
Targeted Maximum Likelihood Based Causal Inference: Part I
Targeted Maximum Likelihood Based Causal Inference: Part II
Evaluating the Efficacy of a Malaria Vaccine*
Attributable Fractions for Sufficient Cause Interactions*
An Introduction to Causal Inference*
Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part II: Proofs of Results*
Optimal Dynamic Regimes: Presenting a Case for Predictive Inference
When to Start Treatment? A Systematic Approach to the Comparison of Dynamic Regimes Using Observational Data*
Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model
Year: 2010, Volume: 6, Issue: 1
Year: 2009, Volume: 5
Year: 2008, Volume: 4
Year: 2007, Volume: 3

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Evaluating the Efficacy of a Malaria Vaccine*

Content Provider PubMed Central
Author Small, Dylan S. Cheng, Jing Ten Have, Thomas R.
Copyright Year 2010
Abstract Malaria is a major public health problem. An effective vaccine against malaria is actively being sought. We formulate a potential outcomes definition of the efficacy of a malaria vaccine for preventing fever. A challenge in estimating this efficacy is that there is no sure way to determine whether a fever was caused by malaria. We study the properties of two approaches for estimating efficacy: (1) use a deterministic case definition of a malaria caused fever as the conjunction of fever and parasite density above a certain cutoff; (2) use a probabilistic case definition in which the probability that each fever was caused by malaria is estimated. We compare these approaches in a simulation study and find that both approaches can potentially have large biases. We suggest a strategy for choosing an estimator based on the investigator's prior knowledge about the area in which the trial is being conducted and the range of vaccine efficacies over which the investigator would like the estimator to have good properties.
Related Links http://dx.doi.org/10.2202/1557-4679.1201
Starting Page 4
File Format PDF
ISSN 15574679
e-ISSN 15574679
Journal The International Journal of Biostatistics
Issue Number 2
Volume Number 6
Language English
Publisher Berkeley Electronic Press
Publisher Date 2010-01-22
Access Restriction Open
Rights Holder Berkeley Electronic Press
Subject Keyword Statistics, Probability and Uncertainty Statistics and Probability Medicine(all) Research in Higher Education
Content Type Text
Resource Type Article
Subject Statistics and Probability Medicine Statistics, Probability and Uncertainty
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