Essays about: "inverse probability weighting"
Showing result 1 - 5 of 8 essays containing the words inverse probability weighting.
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1. An Empirical Investigation of The Effect of Proxy Response and The Merits of Its Remedial Measures
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : In the event of missing data, substitution of data from proxy sources are usually considered a very useful alternative when available to avoid the problem of missingness. Nonetheless, research has also shown that this approach often induces “response bias”. READ MORE
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2. Evaluating Risk Factors with Regression : A Review and Simulation Study of Current Practices
University essay from Uppsala universitet/Statistiska institutionenAbstract : The term ”risk factor” is used synonymously with both predictor and causal factor, and causal aims of explanatory analyses are rarely stated explicitly. Consequently, the concepts of explaining and predicting are conflated in risk factor research. READ MORE
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3. Inverse probability weighted generalised estimating equations for longitudinal data
University essay from Lunds universitet/Matematisk statistikAbstract : Longitudinal study designs, in which variables of interest are observed at multiple time points in a study population, are frequently used in clinical research. Missing data are common in these types of studies. Moreover, in studies investigating a population where the mortality rate is high, data can be truncated by death. READ MORE
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4. The performance of inverse probability of treatment weighting and propensity score matching for estimating marginal hazard ratios
University essay from Uppsala universitet/Statistiska institutionenAbstract : Propensity score methods are increasingly being used to reduce the effect of measured confounders in observational research. In medicine, censored time-to-event data is common. READ MORE
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5. Improved estimation of the ATT from longitudinal data
University essay from Umeå universitet/StatistikAbstract : Our goal is to improve the estimation of the average treatment effect among treated (ATT) from longitudinal data. When the ATT is estimated at one time point (or separately at each), outcome-regression (OR), inverse probability weighting and doubly robust estimators can be used. READ MORE