Search Results - subject:"targeted maximum likelihood estimation"

Gauging the impact of Ethiopia’s productive safety net programme on agriculture: Application of targeted maximum likelihood estimation approach

Bahru, Bezawit Adugna; Zeller, Manfred - In: Journal of Agricultural Economics 73 (2021) 1, pp. 257-276

maximum likelihood estimation method. We find no evidence that PSNP participation improved technology adoption, time spent in … outcomes. We use data from the Living Standard Measurement Study—Integrated Survey on Agriculture and apply the targeted …

Persistent link: https://www.econbiz.de/10014485902

Gauging the impact of Ethiopia's productive safety net programme on agriculture : application of targeted maximum likelihood estimation approach

Bahru, Bezawit Adugna; Zeller, Manfred - In: Journal of agricultural economics : JAE 73 (2022) 1, pp. 257-276

Persistent link: https://www.econbiz.de/10012821205

Robust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial Setting

Rudolph, Kara E.; Sofrygin, Oleg; Zheng, Wenjing; van … - In: Epidemiologic Methods 7 (2018) 1

Abstract Background Causal mediation analysis can improve understanding of the mechanisms underlying epidemiologic associations. However, the utility of natural direct and indirect effect estimation has been limited by the assumption of no confounder of the mediator-outcome relationship that is...

Persistent link: https://www.econbiz.de/10014590633

Causal Inference for a Population of Causally Connected Units

van der Laan, Mark J. - In: Journal of Causal Inference 2 (2014) 1, pp. 13-74

Abstract Suppose that we observe a population of causally connected units. On each unit at each time-point on a grid we observe a set of other units the unit is potentially connected with, and a unit-specific longitudinal data structure consisting of baseline and time-dependent covariates, a...

Persistent link: https://www.econbiz.de/10014610794

Targeted Minimum Loss-Based Estimation of Causal Effects in Right-Censored Survival Data with Time-Dependent Covariates: Warfarin, Stroke, and Death in Atrial Fibrillation

Brooks, Jordan C.; van der Laan, Mark J.; Singer, Daniel E. - In: Journal of Causal Inference 1 (2013) 2, pp. 235-254

Abstract Causal effects in right-censored survival data can be formally defined as the difference in the marginal cumulative event probabilities under particular interventions. Conventional estimators, such as the Kaplan-Meier (KM), fail to consistently estimate these marginal parameters under...

Persistent link: https://www.econbiz.de/10014610793

Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation

Rose, Sherri; Laan, Mark van der - In: International Journal of Biostatistics 5 (2009) 1, pp. 1127-1127

case-control weighted targeted maximum likelihood estimation in matched and unmatched designs in an effort to explore which … maximum likelihood estimation to obtain marginal causal effects in matched case-control study designs. We compare the use of … conditional and not causal estimates of the odds ratio. This article investigates the use of case-control weighted targeted …

Persistent link: https://www.econbiz.de/10005752615

Simple Optimal Weighting of Cases and Controls in Case-Control Studies

Rose, Sherri; Laan, Mark van der - In: International Journal of Biostatistics 4 (2008) 1, pp. 1115-1115

article will demonstrate the use of the prevalence probability and case-control weighted targeted maximum likelihood … estimation (MLE), as described by van der Laan (2008), in order to obtain causal estimates of the parameters of interest (risk …

Persistent link: https://www.econbiz.de/10005585147

Estimation Based on Case-Control Designs with Known Prevalence Probability

Laan, Mark van der - In: International Journal of Biostatistics 4 (2008) 1, pp. 1114-1114

Regular case-control sampling is an extremely common design used to generate data to estimate effects of exposures or treatments on a binary outcome of interest when the proportion of cases (i.e., binary outcome equal to 1) in the population of interest is low. Case-control sampling represents a...

Persistent link: https://www.econbiz.de/10005246572

Targeted Maximum Likelihood Learning

Laan, Mark van der; Rubin, Daniel - In: International Journal of Biostatistics 2 (2006) 1, pp. 1043-1043

, thereby providing data adaptive targeted maximum likelihood estimation methodology. We illustrate the method with various …

Persistent link: https://www.econbiz.de/10005585154