Models, Statistical

Displaying 1 - 10 of 10CSV
BJ, W., S, K., L, D., KA, A.-N., M, M., C, T., E, G., AM, C., M, O., DJ, J., O, A., AG, L., DJ, R., EA, B.-K., P, F.-L., AM, M., R, H., BA, C., & KP, A. (2025). Evaluation of gestational nonpersistent pesticide exposure with newborn size and gestational length in rural Ghana using a novel time-varying extension of multiple informant models. Environment International, 196, 109292. https://doi.org/10.1016/j.envint.2025.109292
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Renson, A., Hudgens, M. G., Keil, A. P., Zivich, P. N., & Aiello, A. E. (2023). Identifying and Estimating Effects of Sustained Interventions under Parallel Trends Assumptions. Biometrics, 79(4), 2998–3009. https://doi.org/10.1111/biom.13862
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Rudolph, K. E., Williams, N., & Díaz, I. (2023). Efficient and Flexible Estimation of Natural Direct and Indirect Effects under Intermediate Confounding and Monotonicity Constraints. Biometrics, 79(4), 3126–3139. https://doi.org/10.1111/biom.13850
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Zelner, J., Masters, N. B., Naraharisetti, R., Mojola, S. A., Chowkwanyun, M., & Malosh, R. (2022). There are no equal opportunity infectors: Epidemiological modelers must rethink our approach to inequality in infection risk. PLOS Computational Biology, 18(2), e1009795. https://doi.org/10.1371/journal.pcbi.1009795
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