Detalhe da pesquisa
1.
Child wasting and concurrent stunting in low- and middle-income countries.
Nature
; 621(7979): 558-567, 2023 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-37704720
2.
Early-childhood linear growth faltering in low- and middle-income countries.
Nature
; 621(7979): 550-557, 2023 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-37704719
3.
Causes and consequences of child growth faltering in low-resource settings.
Nature
; 621(7979): 568-576, 2023 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-37704722
4.
Targeted Learning with an Undersmoothed Lasso Propensity Score Model for Large-Scale Covariate Adjustment in Healthcare Database Studies.
Am J Epidemiol
; 2024 Mar 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-38517025
5.
A flexible approach for predictive biomarker discovery.
Biostatistics
; 24(4): 1085-1105, 2023 10 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-35861622
6.
Nonparametric causal mediation analysis for stochastic interventional (in)direct effects.
Biostatistics
; 24(3): 686-707, 2023 Jul 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-35102366
7.
Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials.
Biostatistics
; 24(2): 502-517, 2023 04 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-34939083
8.
Adaptive sequential surveillance with network and temporal dependence.
Biometrics
; 80(1)2024 Jan 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-38281772
9.
Author Correction: Child wasting and concurrent stunting in low- and middle-income countries.
Nature
; 623(7985): E1, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37833391
10.
Author Correction: Early-childhood linear growth faltering in low- and middle-income countries.
Nature
; 623(7985): E2, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37833392
11.
Nonparametric inverse-probability-weighted estimators based on the highly adaptive lasso.
Biometrics
; 79(2): 1029-1041, 2023 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35839293
12.
Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation.
Biometrics
; 79(4): 3038-3049, 2023 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36988158
13.
Efficient targeted learning of heterogeneous treatment effects for multiple subgroups.
Biometrics
; 79(3): 1934-1946, 2023 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-36416173
14.
Personalized online ensemble machine learning with applications for dynamic data streams.
Stat Med
; 42(7): 1013-1044, 2023 03 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-36897184
15.
Defining and estimating effects in cluster randomized trials: A methods comparison.
Stat Med
; 42(19): 3443-3466, 2023 08 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-37308115
16.
Evaluating and improving real-world evidence with Targeted Learning.
BMC Med Res Methodol
; 23(1): 178, 2023 08 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-37533017
17.
Expert-augmented machine learning.
Proc Natl Acad Sci U S A
; 117(9): 4571-4577, 2020 03 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-32071251
18.
Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability-Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects.
Am J Epidemiol
; 191(9): 1640-1651, 2022 08 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-35512316
19.
HIV Testing and Treatment with the Use of a Community Health Approach in Rural Africa.
N Engl J Med
; 381(3): 219-229, 2019 07 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-31314966
20.
Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials.
Stat Med
; 41(12): 2132-2165, 2022 05 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-35172378